The Delta Parallel Robot: Kinematics Solutions Robert L. Williams II, Ph.D., Mechanical Engineering, Ohio University, April 2015

Size: px
Start display at page:

Download "The Delta Parallel Robot: Kinematics Solutions Robert L. Williams II, Ph.D., Mechanical Engineering, Ohio University, April 2015"

Transcription

1 he Delt rllel Robot: Knemtcs Solutons Robert L. Wllms II, h.d., Mechncl Engneerng, Oho Unversty, Aprl 05 Clvel s Delt Robot s rgubly the most successful commercl prllel robot to dte. he left mge below shows the orgnl desgn from Clvel s U.S. ptent, nd the rght photogrph below shows one commercl nstntton of the Delt Robot. Delt Robot Desgn A Flexcker Delt Robot he Delt Robot hs 4-degrees-of-freedom (dof), -dof for XYZ trnslton, plus fourth nner leg to control sngle rottonl freedom t the end-effector pltform (bout the xs perpendculr to the pltform). he remnder of ths document wll focus only on the -dof XYZ trnslton-only Delt Robot snce tht s beng wdely ppled by D prnters nd Arduno hobbysts. resented s descrpton of the -dof Delt Robot, followed by knemtcs nlyss ncludng nlytcl solutons for the nverse poston knemtcs problem nd the forwrd poston knemtcs problem, nd then exmples for both, snpshots nd trjectores. he velocty equtons re lso derved hs s presented for both revolute-nput nd prsmtc-nput Delt Robots. For referencng ths document, plese use: R.L. Wllms II, he Delt rllel Robot: Knemtcs Solutons, Internet ublcton, Aprl 05. R. Clvel, 99, Concepton d'un robot prllèle rpde à 4 degrés de lberté, h.d. hess, EFL, Lusnne, Swtzerlnd. R. Clvel, 990, Devce for the Movement nd ostonng of n Element n Spce, U.S. tent No. 4,976,58.

2 ble of Contents REVOLUE-INU DELA ROO... REVOLUE-INU DELA ROO DESCRIION... REVOLUE-INU DELA ROO MOILIY... 7 RACICAL REVOLUE-INU DELA ROOS... 9 REVOLUE-INU DELA ROO KINEMAICS ANALYSIS... 0 Inverse oston Knemtcs (IK) Soluton... Forwrd oston Knemtcs (FK) Soluton... Revolute-Input Delt Robot Velocty Knemtcs Equtons... 5 REVOLUE-INU DELA ROO OSIION KINEMAICS EXAMLES... 6 Inverse oston Knemtcs Exmples... 6 Forwrd oston Knemtcs Exmples... 9 RISMAIC-INU DELA ROO... RISMAIC-INU DELA ROO DESCRIION... RACICAL RISMAIC-INU DELA ROOS... 5 RISMAIC-INU DELA ROO KINEMAICS ANALYSIS... 6 Inverse oston Knemtcs (IK) Soluton... 7 Forwrd oston Knemtcs (FK) Soluton... 9 rsmtc-input Delt Robot Velocty Knemtcs Equtons... RISMAIC-INU DELA ROO OSIION KINEMAICS EXAMLES... 4 Inverse oston Knemtcs Exmples... 4 Forwrd oston Knemtcs Exmples... 7 ACKNOWLEDGEMENS AENDICES... 4 AENDIX A. HREE-SHERES INERSECION ALGORIHM... 4 Exmple... 4 Imgnry Solutons... 4 Sngulrtes... 4 Multple Solutons AENDIX. SIMLIFIED HREE-SHERES INERSECION ALGORIHM... 45

3 Revolute-Input Delt Robot Revolute-Input Delt Robot Descrpton As shown below, the -dof Delt Robot s composed of three dentcl RUU legs n prllel between the top fxed bse nd the bottom movng end-effector pltform. he top revolute jonts re ctuted (ndcted by the underbr) v bse-fxed rottonl ctutors. her control vrbles re,,, bout the xes shown. In ths model re mesured wth the rght hnd, wth zero ngle defned s when the ctuted lnk s n the horzontl plne. he prllelogrm 4-br mechnsms of the three lower lnks ensure the trnslton-only moton. he unversl (U) jonts re mplemented usng three non-collocted revolute (R) jonts (two prllel nd one perpendculr, sx plces) s shown below. Delt rllel Robot Dgrm dpted from: elmomc.com/cpbltes

4 he three-dof Delt Robot s cpble of XYZ trnsltonl control of ts movng pltform wthn ts workspce. Vewng the three dentcl RUU chns s legs, ponts,,, re the hps, ponts A,,, re the knees, nd ponts,,, re the nkles. he sde length of the bse equlterl trngle s s nd the sde length of the movng pltform equlterl trngle s s. he movng pltform equlterl trngle s nverted wth respect to the bse equlterl trngle s shown, n constnt orentton. 4 Delt Robot Knemtc Dgrm he fxed bse Crtesn reference frme s {}, whose orgn s locted n the center of the bse equlterl trngle. he movng pltform Crtesn reference frme s {}, whose orgn s locted n the center of the pltform equlterl trngle. he orentton of {} s lwys dentcl to the orentton of {} so rotton mtrx RI s constnt. he jont vrbles re Θ, nd the Crtesn vrbles re x y z. he desgn shown hs hgh symmetry, wth three upper leg lengths L nd three lower lengths l (the prllelogrm four-br mechnsms mjor lengths). he Delt Robot fxed bse nd pltform geometrc detls re shown on the next pge.

5 5 Delt Robot Fxed se Detls Delt Robot Movng ltform Detls

6 6 he fxed-bse revolute jont ponts re constnt n the bse frme {} nd the pltform-fxed U-jont connecton ponts re constnt n the bse frme {}: 0 0 w 0 w w 0 w w 0 0 u 0 s w 0 s w he vertces of the fxed-bsed equlterl trngle re: 0 s w b 0 0 u b 0 s w b where: 6 w s u s 6 w s u s nme menng vlue (mm) s bse equlterl trngle sde 567 s pltform equlterl trngle sde 76 L upper legs length 54 l lower legs prllelogrm length 44 h lower legs prllelogrm wdth w plnr dstnce from {0} to ner bse sde 64 u plnr dstnce from {0} to bse vertex 7 w plnr dstnce from {} to ner pltform sde 65 u plnr dstnce from {} to pltform vertex he model vlues bove re for specfc commercl delt robot, the A Flexcker IR 60-/600, scled from fgure (new.bb.com/products). hough Delt Robot symmetry s ssumed, the followng methods my be dpted to the generl cse.

7 7 Revolute-Input Delt Robot Moblty hs secton proves tht the moblty (the number of degrees-of-freedom) for the Delt robot s ndeed -dof. Usng the sptl Kutzbch moblty equton for the prevous Delt Robot fgure: M 6( N) 5J 4J J where: M s the moblty, or number of degrees-of-freedom N s the totl number of lnks, ncludng ground J s the number of one-dof jonts J s the number of two-dof jonts J s the number of three-dof jonts For the s-desgned Delt Robot, we hve: J one-dof jonts: revolute nd prsmtc jonts J two-dof jonts: unversl jont J three-dof jonts: sphercl jont N 7 J J J 0 0 M M 6(7 ) 5() 4(0) (0) 9 dof As often hppens, the Kutzbch equton fls becuse the result must obvously be -dof. hs result predcts the Delt s severely overconstrned sttclly ndetermnte structure, whch s ncorrect. he Kutzbch equton knows nothng bout specl geometry n the Delt Robot cse, there re three prllel four-br mechnsms. he overll robot would work knemtclly dentclly to the orgnl Delt Robot f we removed one of the long prllel four-br mechnsm lnks, long wth two revolute jonts ech. Wth ths equvlent cse, the Kutzbch equton yelds: N 4 J J J M M 6(4 ) 5(5) 4(0) (0) dof whch s correct. An lterntve pproch to clcultng the Delt Robot moblty s by gnorng the three prllel four-br mechnsms, replcng ech wth sngle lnk nsted. In ths we must count unversl jont t ether end of ths vrtul lnk. hs pproch follows the smplfed Delt Robot nmng conventon -RUU. he Kutzbch equton for ths cse lso succeeds:

8 8 N 8 J J J 6 0 M M 6(8) 5() 4(6) (0) dof Ether of the second two pproches works. he uthor prefers the former snce t s closer to the ctul Delt Robot desgn.

9 9 rctcl Revolute-Input Delt Robots Delt Chocolte-Hndlng Robot st.epfl.ch Delt ck-nd-lce Robots en.wkped.org/wk/delt_robot Delt Robot D rnter en.wkped.org/wk/delt_robot Sketchy Delt Robot en.wkped.org/wk/delt_robot Novnt Flcon Hptc Interfce mges.bt-tech.net Fnuc Delt Robot robot.fnucmerc.com

10 0 Revolute-Input Delt Robot Knemtcs Anlyss From the knemtc dgrm bove, the followng three vector-loop closure equtons re wrtten for the Delt Robot: where L l R,, R I snce no rottons re llowed by the Delt Robot. he three pplcble constrnts stte tht the lower leg lengths must hve the correct, constnt length l (the vrtul length through the center of ech prllelogrm): l l L,, It wll be more convenent to squre both sdes of the constrnt equtons bove to vod the squre-root n the Euclden norms: nd l l l l l,, x y z Agn, the Crtesn vrbles re x y z were gven prevously. he vectors Θ :. he constnt vector vlues for ponts L re dependent on the jont vrbles 0 L Lcos Lsn L L cos L cos Lsn L L cos L cos Lsn Substtutng ll bove vlues nto the vector-loop closure equtons yelds: x l ylcos l y L c l z Lsn x L cos b cos z Lsn x L cos b y L cos c z Lsn

11 where: w u s b w cw w And the three constrnt equtons yeld the knemtcs equtons for the Delt Robot: Ly ( )coszlsnx y z Lyl 0 L xb yc zl x y z b c L xb ycl ( ( ) )cos sn 0 L x b y c zl x y z b c L xb yc l ( ( ) )cos sn 0 he three bsolute vector knee ponts re found usng A L,,, : A w 0 Lcos Lsn A ( w L cos ) ( w L cos ) Lsn A ( w L cos ) ( w L cos ) Lsn Inverse oston Knemtcs (IK) Soluton he -dof Delt Robot nverse poston knemtcs (IK) problem s stted: Gven the Crtesn x y z, clculte the three poston of the movng pltform control pont (the orgn of {}), requred ctuted revolute jont ngles Θ. he IK soluton for prllel robots s often strghtforwrd; the IK soluton for the Delt Robot s not trvl, but cn be found nlytclly. Referrng to the Delt Robot knemtc dgrm bove, the IK problem cn be solved ndependently for ech of the three RUU legs. Geometrclly, ech leg IK soluton s the ntersecton between known crcle (rdus L, centered on the bse trngle R jont pont ) nd known sphere (rdus l, centered on the movng pltform vertex ). hs soluton my be done geometrclly/trgonometrclly. However, we wll now ccomplsh ths IK soluton nlytclly, usng the three constrnt equtons ppled to the vector loop-closure equtons (derved prevously). he three ndependent sclr IK equtons re of the form: where: E cos F sn G 0,,

12 E L( y) F zl G x y z L yl E L( ( xb) yc) F zl G x y z b c L ( xb yc) l E L( ( xb) yc) F zl G x y z b c L ( xb yc) l he equton Ecos Fsn G 0 ppers lot n robot nd mechnsm knemtcs nd s redly solved usng the ngent Hlf-Angle Substtuton. If we defne t tn then t t cos nd sn t t Substtute the ngent Hlf-Angle Substtuton nto the EFG equton: t t E F 0 G E( t ) F( t) G( t ) 0 t t ( G E) t ( F) t ( G E) 0 qudrtc formul: t, F E F G G E Solve for by nvertng the orgnl ngent Hlf-Angle Substtuton defnton: tn ( t) wo solutons result from the n the qudrtc formul. oth re correct snce there re two vld solutons knee left nd knee rght. hs yelds two IK brnch solutons for ech leg of the Delt Robot, for totl of 8 possble vld solutons. Generlly the one soluton wth ll knees knked out nsted of n wll be chosen. Forwrd oston Knemtcs (FK) Soluton he -dof Delt Robot forwrd poston knemtcs (FK) problem s stted: Gven the three ctuted jont ngles Θ control pont (the orgn of {}),, clculte the resultng Crtesn poston of the movng pltform x y z. he FK soluton for prllel robots s generlly very dffcult. It requres the soluton of multple coupled nonlner lgebrc equtons, from the three constrnt equtons ppled to the vector loop-closure equtons (derved prevously). Multple vld solutons generlly result.

13 hnks to the trnslton-only moton of the -dof Delt Robot, there s strghtforwrd nlytcl soluton for whch the correct soluton set s esly chosen. Snce Θ re gven, we clculte the three bsolute vector knee ponts usng A L,,,. Referrng to the Delt Robot FK dgrm below, snce we know tht the movng pltform orentton s constnt, lwys horzontl wth R I, we defne three vrtul sphere centers A v A,,, : A 0 w Lcos u Lsn v A s ( cos ) w L ( w L cos ) w Lsn v A s ( cos ) w L ( w L cos ) w Lsn v nd then the Delt Robot FK soluton s the ntersecton pont of three known spheres. Let sphere be referred s vector center pont {c} nd sclr rdus r, ({c}, r). herefore, the FK unknown pont s the ntersecton of the three known spheres: ( A v, l) ( A v, l) ( A v, l). Delt Robot FK Dgrm

14 4 Appendx A presents n nlytcl soluton for the ntersecton pont of the three gven spheres, from Wllms et l. hs soluton lso requres the solvng of coupled trnscendentl equtons. he ppendx presents the equtons nd nlytcl soluton methods, nd then dscusses mgnry solutons, sngulrtes, nd multple solutons tht cn plgue the lgorthm, but ll turn out to be no problem n ths desgn. In prtculr, wth ths exstng three-spheres-ntersecton lgorthm, f ll three gven sphere centers A v hve the sme Z heght ( common cse for the Delt Robot), there wll be n lgorthmc sngulrty preventng successful soluton (dvdng by zero). One wy to fx ths problem s to smple rotte coordntes so ll A v Z vlues re no longer the sme, tkng cre to reverse ths coordnte trnsformton fter the soluton s ccomplshed. However, we present nother soluton (Appendx ) for the ntersecton of three spheres ssumng tht ll three sphere Z heghts re dentcl, to be used n plce of the prmry soluton when necessry. Another pplcble problem to be ddressed s tht the ntersecton of three spheres yelds two solutons n generl (only one soluton f the spheres meet tngentlly, nd zero solutons f the center dstnce s too gret for the gven sphere rd l n ths ltter cse the soluton s mgnry nd the nput dt s not consstent wth Delt Robot ssembly). he spheres-ntersecton lgorthm clcultes both soluton sets nd t s possble to utomtclly mke the computer choose the correct soluton by ensurng t s below the bse trngle rther thn bove t. hs three-spheres-ntersecton pproch to the FK for the Delt Robot yelds results dentcl x y z gven Θ. to solvng the three knemtcs equtons for R.L. Wllms II, J.S. Albus, nd R.V. ostelmn, 004, D Cble-sed Crtesn Metrology System, Journl of Robotc Systems, (5): 7-57.

15 5 Revolute-Input Delt Robot Velocty Knemtcs Equtons he revolute-nput Delt Robot velocty knemtcs equtons come from the frst tme dervtve of the three poston constrnt equtons presented erler: Lycos L( y ) sn Lzsn Lz cos xx( y ) y zz 0 L( x y)cos L( ( x b) y c) sn Lzsn Lz cos ( x b) x( y c) y zz 0 L( x y)cos L( ( xb) yc) sn Lz sn Lz cos ( x b) x( y c) y zz 0 Re-wrtten: xx( y ) y Lycos zzlz sn L( y ) sn Lz cos ( xb) x( yc) y L( x y)cos zz Lzsn L( ( xb) yc) sn Lz cos c) sn Lzcos ( xb) x( yc) yl( x y)cos zzlzsn L( ( xb) y Wrtten n mtrx-vector form: AX = Θ x ylcos zlsn x b 0 0 ( x b) Lcos ( y c) Lcos ( z Lsn ) y 0 b 0 ( x b) Lcos 0 0 ( y c) Lcos ( z Lsn ) z b where: b L ( y)sn zcos b L( ( x b) y c)sn zcos b L( ( x b) y c)sn zcos

16 Revolute-Input Delt Robot oston Knemtcs Exmples For these exmples, the Delt Robot dmensons re from the tble gven erler for the A Flexcker IR 60-/600, s = 0.567, s = 0.076, L = 0.54, l =.44, nd h = 0. (m). Inverse oston Knemtcs Exmples Snpshot Exmples Nomnl oston. Gven results re (the preferred knked out soluton): Θ Generl oston. Gven knked out soluton): m, the clculted IK m, the clculted IK results re (the preferred Θ Generl Inverse oston Snpshot Exmple

17 7 IK rjectory Exmple he movng pltform control pont {} trces n XY crcle of center 0 0 m nd rdus 0.5 m. At the sme tme, the Z dsplcement goes through complete sne wve motons centered on Z m wth 0. m mpltude. hs IK trjectory, t the end of moton, s pctured long wth the smulted Delt rllel Robot, n the MALA grphcs below. XY Crculr rjectory wth Z sne wve

18 8 Commnded IK Crtesn ostons Clculted IK Jont Angles

19 Forwrd oston Knemtcs Exmples Snpshot Exmples Nomnl oston. Gven Θ , the clculted FK results re (the dmssble soluton below the bse, usng the equl-z-heghts spheres ntersecton lgorthm): m Generl oston. Gven Θ m, the clculted FK results re (the dmssble soluton below the bse, usng the non-equl-z-heghts spheres ntersecton lgorthm): m Generl Forwrd oston Snpshot Exmple Crculr Check Exmples All snpshot exmples were reversed to show tht the crculr check vldton works;.e.: When gven , the IK soluton clculted Θ nd when gven , the IK soluton clculted Θ Θ , the FK soluton clculted Θ , the FK soluton clculted When gven nd when gven

20 0 FK rjectory Exmple he IK soluton s more useful for Delt Robot control, to specfy where the tool should be n XYZ. hs FK trjectory exmple s just for demonstrton purposes, not yeldng ny useful robot moton. Smultneously the three revolute jont ngles re commnded s follows: () t mxsn() t () t mxsn() t () t sn() t mx where mx 45 nd t proceeds from 0 to n 00 steps. hs closed FK trjectory, t the end of moton, s pctured long wth the smulted Delt rllel Robot, n the MALA grphcs below FK rjectory

21 Commnded FK Jont Angles Clculted FK Crtesn ostons

22 rsmtc-input Delt Robot rsmtc-input Delt Robot Descrpton he rsmtc-input Delt Robot s fundmentlly smlr to the orgnl Revolute-Input Delt Robot. he mjor dfference s tht the three nputs now re drven by three lner-sldng prsmtc jonts nsted of three revolute jonts. hs desgn chnge smplfes the knemtcs equtons nd the IK nd FK equtons nd solutons sgnfcntly, becuse the three prsmtc nputs re lgned wth the {} frme Z xs, nd there re no snes nor cosnes requred s n the revolute-nput cse. As shown below, the -dof prsmtc-nput Delt Robot s composed of three dentcl UU legs n prllel between the top fxed bse nd the bottom movng end-effector pltform. he control vrbles re L,,,. In ths model postve chnge n L s downwrd, n the Z drecton. he three-dof Delt Robot s gn cpble of XYZ trnsltonl control of ts movng pltform wthn ts workspce. he jont vrbles re L L L L, nd the Crtesn vrbles re x y z. Delt Robot Knemtc Dgrm rsmtc Inputs hs robot s lso known s the Lner Delt Robot or the Lner-Rl Delt Robot. he constnt geometry (bse ponts, pltform vertces, etc.) presented erler for the revolute-nput Delt robot stll pply to the prsmtc-nput Delt Robot. Also, the Moblty (dof) clcultons for the prsmtc-nput cse re dentcl to tht presented for the revolute-nput cse, yeldng M =. he rsmtc-input Delt Robot fxed bse nd pltform geometrc detls re shown on the next pge.

23 rsmtc-input Delt Robot Fxed se Detls rsmtc-input Delt Robot Movng ltform Detls

24 he fxed-bse prsmtc jont ponts re constnt n the bse frme {} nd the pltformfxed U-jont connecton ponts re constnt n the bse frme {}: 4 R R cos 0 R sn 0 R 0 0 R R cos0 Rsn0 R 0 0 R cos90 0 Rsn90 R 0 0 s w w 0 s 0 0 u 0 he vertces of the fxed-bsed equlterl trngle re: s b w b w b 0 s 0 0 u 0 where: w 6 s u s w 6 s u s nme menng vlue (mm) s bse equlterl trngle sde 4 R bse rdus from orgn to jonts ( ) 4 s pltform equlterl trngle sde 7 L mn =,, mnmum prsmtc jonts lengths 67 L mx =,, mxmum prsmtc jonts lengths 479 l lower legs prllelogrm length 64 h lower legs prllelogrm wdth 44 w plnr dstnce from {0} to ner bse sde 5 u plnr dstnce from {0} to bse vertex 49 w plnr dstnce from {} to ner pltform sde 7 u plnr dstnce from {} to pltform vertex 7 o X nozzle X offset 0 o Y nozzle Y offset 0 H frme heght 686

25 he model vlues bove re for specfc commercl prsmtc-nput delt robot D prnter, the Delt Mker (deltmker.com). hough Delt Robot symmetry s ssumed, the followng methods my be dpted to the generl cse for the prsmtc-nput delt robot. Note tht ech ndvdul prsmtc length lmts re 67 L 479 mm; however, for ll three prsmtc lengths equl, L 54 mm s the mxmum extent to vod moton through the D prntng surfce. 5 rctcl rsmtc-input Delt Robots forums.reprp.org deltmker.com

26 6 rsmtc-input Delt Robot Knemtcs Anlyss From the knemtc dgrm bove, the followng three vector-loop closure equtons re wrtten for the Delt Robot: L l R,, he three pplcble constrnts stte tht the lower leg lengths must hve the correct, constnt length l (the vrtul length through the center of ech prllelogrm): l l L,, It wll be more convenent to squre both sdes of the constrnt equtons bove to vod the squre-root n the Euclden norms: nd L erler: l l l l l,, x y z Agn, the Crtesn vrbles re x y z were gven prevously. he vectors L L L. he constnt vector vlues for ponts L re dependent on the jont vrbles ; these formuls re much smpler thn those for the rottonl-nput cse presented 0 L 0,, L Substtutng ll bove vlues nto the vector-loop closure equtons yelds: x l y l yc l z L x b z L x b yc z L where: w u s b w cw w And the three constrnt equtons yeld the knemtcs equtons for the prsmtc-nput Delt Robot:

27 7 x y z L zl yl 0 x y z b c L xb yc zl l 0 x y z b c L xb yc zl l 0 he three bsolute vector knee ponts re found usng A L,,, : 0 A w A w A L w L w w L Inverse oston Knemtcs (IK) Soluton he -dof prsmtc-nput Delt Robot nverse poston knemtcs (IK) problem s stted: x y z, Gven the Crtesn poston of the movng pltform control pont (the orgn of {}), clculte the three requred ctuted prsmtc jont ngles L L L L. he IK soluton for the prsmtc-nput Delt Robot s much smpler thn tht for the revolute-nput Delt robot presented erler nd s esly found nlytclly. Referrng to the prsmtc-nput Delt Robot knemtc dgrm bove, the IK problem cn be solved ndependently for ech of the three UU legs. Geometrclly, ech leg IK soluton s the ntersecton between vertcl lne of unknown length L (pssng through bse pont ) nd known sphere (rdus l, centered on the movng pltform vertex ). hs soluton my be done geometrclly/trgonometrclly. However, we wll now ccomplsh ths IK soluton nlytclly, usng the three constrnt equtons ndependently (derved prevously). he three ndependent sclr IK equtons re qudrtc equtons of the form: L zl C 0,, where: C x y z yl C x y z b c xb yc l C x y z b c xb yc l So we smply hve three ndependent qudrtc equtons to solve for the prsmtc-length nputs L, for ech leg ndependently, where A =, = z, nd the C re gven bove. he IK soluton smplfes qute ncely:

28 8 L z z C,, wo L solutons result from the n the qudrtc formul. hese solutons cn be referred to s knee up nd knee down for ech leg. hs yelds two IK brnch solutons for ech leg of the prsmtc-nput Delt Robot, for totl of 8 possble solutons. Generlly the one overll soluton wth ll knees up wll be chosen. When z C, the soluton for L s mgnry. hs cse should never occur n theory snce the prsmtc jont cn extend s fr s needed to mntn rel soluton for ech leg. However, n prctce, there re of course prsmtc jont lmts. When z C, the two soluton brnches (knee up nd knee down) hve become the sme soluton. he IK nput xyz s for the movng pltform geometrc center. When the desred control pont s offset from the center (s n the cse of mny D prnters), n ntl trnsformton s requred pror to mplementng the IK soluton: NN where 0 0 OX 0 0 O Y N nd 0 0 O X 0 0 O Y N hs s very smple trnsformton snce the prsmtc-nput Delt Robot llows only trnsltonl moton, wth R NR I. o sve lot of computtons wth s nd 0s, smply subtrct O X nd O Y from the x nd y components, respectvely, of the gven (xyz) N to obtn the IK movng-pltformcenter nput xyz. N stnds for nozzle n D prnter. he z component s unchnged n ths trnsformton.

29 9 Forwrd oston Knemtcs (FK) Soluton he -dof prsmtc-nput Delt Robot forwrd poston knemtcs (FK) problem s stted: Gven the three ctuted jont ngles L L L L movng pltform control pont (the orgn of {}),, clculte the resultng Crtesn poston of the x y z. he FK soluton for prllel robots s generlly very dffcult. It requres the soluton of multple coupled nonlner lgebrc equtons, from the three constrnt equtons ppled to the vector loop-closure equtons (derved prevously). Multple vld solutons generlly result. hnks to the trnslton-only moton of the -dof Delt Robot, there s strghtforwrd L re gven, we clculte the three bsolute vector knee ponts usng A L,,,. Referrng to the prsmtc-nput Delt Robot FK dgrm below, snce we know tht the movng pltform orentton s constnt, lwys horzontl wth R I, we defne three vrtul sphere centers A A,,, : nlytcl soluton for whch the correct soluton set s esly chosen. Snce L L L v 0 A v w u A v w w A v w w L s w L s w L nd then the prsmtc-nput Delt Robot FK soluton s the ntersecton pont of three known spheres. Let sphere be referred s vector center pont {c} nd sclr rdus r, ({c}, r). herefore, the FK unknown pont s the ntersecton of the three known spheres: ( A v, l) ( A v, l) ( A v, l).

30 0 Delt Robot FK Dgrm rsmtc Inputs Appendx A presents n nlytcl soluton for the ntersecton pont of the three gven spheres, from Wllms et l. 4 hs soluton lso requres the solvng of coupled trnscendentl equtons. he ppendx presents the equtons nd nlytcl soluton methods, nd then dscusses mgnry solutons, sngulrtes, nd multple solutons tht cn plgue the lgorthm, but ll turn out to be no problem n ths desgn. In prtculr, wth ths exstng three-spheres-ntersecton lgorthm, f ll three gven sphere centers A v hve the sme Z heght ( common cse for the Delt Robot), there wll be n lgorthmc sngulrty preventng successful soluton (dvdng by zero). One wy to fx ths problem s to smple rotte coordntes so ll A v Z vlues re no longer the sme, tkng cre to reverse ths coordnte trnsformton fter the soluton s ccomplshed. However, we present nother soluton 4 R.L. Wllms II, J.S. Albus, nd R.V. ostelmn, 004, D Cble-sed Crtesn Metrology System, Journl of Robotc Systems, (5): 7-57.

31 (Appendx ) for the ntersecton of three spheres ssumng tht ll three sphere Z heghts re dentcl, to be used n plce of the prmry soluton when necessry. Another pplcble problem to be ddressed s tht the ntersecton of three spheres yelds two solutons n generl (only one soluton f the spheres meet tngentlly, nd zero solutons f the center dstnce s too gret for the gven sphere rd l n ths ltter cse the soluton s mgnry nd the nput dt s not consstent wth prsmtc-nput Delt Robot ssembly). he spheres-ntersecton lgorthm clcultes both soluton sets nd t s possble to utomtclly mke the computer choose the correct soluton by ensurng t s below the bse trngle rther thn bove t. he FK soluton xyz s for the movng pltform geometrc center. When the desred control pont s offset from the center (s n the cse of mny D prnters), further trnsformton s requred fter to mplementng the FK soluton: N N where N ws gven prevously wth the IK soluton. hs s very smple trnsformton snce the prsmtc-nput Delt Robot llows only trnsltonl moton, wth R NR I. o sve lot of computtons wth s nd 0s, smply dd O X nd O Y to the x nd y components, respectvely, of the FK movng-pltform-center soluton xyz, to obtn the desred FK soluton (xyz) N. he z component s unchnged n ths trnsformton.

32 Alternte FK Soluton hs three-spheres-ntersecton pproch to the FK for the prsmtc-nput Delt Robot yelds results dentcl to solvng the three knemtcs equtons for x y z gven L L L L. Snce the three constrnt equtons for the prsmtc-nput Delt Robot re much smpler thn those for the revolute-nput Delt Robot, we now present n lterntve FK nlytcl soluton. he three constrnt equtons re repeted below: x y z L zl yl 0 x y z b c L xb yc zl l 0 x y z b c L xb yc zl l 0 Subtrctng the second equton from the thrd equton yelds lner equton, expressng x s functon of z only: x f( z) dz e where: d L L b e L L 4b Further, subtrctng the frst equton from the thrd equton nd substtutng x f( z) from bove yelds nother lner equton, expressng y s functon of z only: y g( z) Dz E where: D LL bd c E be b c L L ( c ) Substtutng both x f( z) nd y g( z) nto the frst equton yelds sngle equton n one unknown z, qudrtc polynoml: Az z C 0 where: A d D ( dedel D) C e E L El And so the lternte nlytcl FK soluton s:

33 z, 4 A AC x f ( z ) dz e,,, y gz ( ) Dz E,,, here re two possble soluton sets ( x, y, z ) nd ( x, y, z ), due to the n the qudrtc formul. Generlly only one soluton wll be used, the one where xyz s below the top-mounted bse trngle. rsmtc-input Delt Robot Velocty Knemtcs Equtons he prsmtc-nput Delt Robot velocty knemtcs equtons come from the frst tme dervtve of the three poston constrnt equtons presented erler: xx( y) y( zl) z ( zl) L ( x bx ) ( ycy ) ( zl) z ( zl) L ( x bx ) ( ycy ) ( zl) z ( zl) L Wrtten n mtrx-vector form: AX = L x y zl x zl 0 0 L x b yc zl y 0 z L 0 L x b yc zl z 0 0 zl L

34 rsmtc-input Delt Robot oston Knemtcs Exmples For these exmples, the prsmtc-nput Delt Robot dmensons re from the tble gven erler for the Delt Mker D rnter, s = 0.4, R = 0.4, s = 0.7, l = 0.64, nd h = (m). Inverse oston Knemtcs Exmples Snpshot Exmples Nomnl oston. Gven results re (the preferred lower soluton): L m Generl oston. Gven knked out soluton): m, the clculted IK m, the clculted IK results re (the preferred L m Generl Inverse oston Snpshot Exmple

35 5 IK rjectory Exmple he movng pltform control pont {} trces n XY crcle of center m nd rdus 0. m. At the sme tme, the Z dsplcement goes through complete sne wve motons centered on Z m wth 0.05 m mpltude. hs IK trjectory, t the end of moton, s pctured long wth the smulted Delt rllel Robot, n the MALA grphcs below. XY Crculr rjectory wth Z sne wve

36 6 Commnded IK Crtesn ostons Clculted IK Jont Angles

37 Forwrd oston Knemtcs Exmples Snpshot Exmples Nomnl oston. Gven 7 L m, the clculted FK results re (the dmssble lower soluton, usng the equl-z-heghts spheres ntersecton lgorthm): m Generl oston. Gven L m, the clculted FK results re (the dmssble lower soluton, usng the non-equl-z-heghts spheres ntersecton lgorthm): m Generl Forwrd oston Snpshot Exmple Crculr Check Exmples All snpshot exmples were reversed to show tht the crculr check vldton works;.e.: When gven , the IK soluton clculted L nd when gven , the IK soluton clculted When gven L , the FK soluton clculted gven L , the FK soluton clculted L nd when

38 FK rjectory Exmple he IK soluton s more useful for Delt Robot control, to specfy where the D prnter nozzle should be n XYZ. hs FK trjectory exmple s just for demonstrton purposes, not yeldng ny useful robot moton. Smultneously the three prsmtc jont lengths re commnded s follows: Lsn( t) L L() t Lmn Lsn( t) L L() t Lmn Lsn( t) L L() t Lmn where L 0. m nd t proceeds from 0 to n 00 steps. hs closed FK trjectory, t the end of moton, s pctured long wth the smulted Delt rllel Robot, n the MALA grphcs below 8 FK rjectory

39 9 Commnded FK Jont Angles Clculted FK Crtesn ostons

40 40 Acknowledgements hs work ws ntted durng the lst week of the uthor s sbbtcl from Oho Unversty t the Unversty of uerto Rco (UR), Myguez, durng Fll Semester 04. he uthor grtefully cknowledges fnncl support from Rcky Vlentn, UR ME chr, nd the Russ College of Engneerng & echnology t Oho Unversty.

41 4 Appendces Appendx A. hree-spheres Intersecton Algorthm We now derve the equtons nd soluton for the ntersecton pont of three gven spheres. hs soluton s requred n the forwrd pose knemtcs soluton for mny cble-suspended robots nd other prllel robots. Let us ssume tht the three gven spheres re ( c,r ), ( c,r ), nd ( c,r ). ht s, center vectors c x y z, c x y z, c x y z, nd rd r, r, nd r re known (he three sphere center vectors must be expressed n the sme frme, {0} n ths ppendx; the nswer wll be n the sme coordnte frme). he equtons of the three spheres re: x x y y z z r x x y y z z r x x y y z z r (A.) Equtons (A.) re three coupled nonlner equtons n the three unknowns x, y, nd z. he soluton wll yeld the ntersecton pont x y z (A.) nd combne them n wys so tht we obtn x f y nd z f y. he soluton pproch s to expnd equtons ; we then substtute these functons nto one of the orgnl sphere equtons nd obtn one qudrtc equton n y only. hs cn be redly solved, yeldng two y solutons. hen we gn use x f y nd z f y to determne the remnng unknowns x nd z, one for ech y soluton. Let us now derve ths soluton. Frst, expnd equtons (A.) by squrng ll left sde terms. hen subtrct the thrd from the frst nd the thrd from the second equtons, yeldng (notce ths elmntes the squres of the unknowns): x y z b (A.) x y z b (A.) where: x x x x y y y y z z z z b b r r r r x x y y z z x x y y z z Solve for z n (A.) nd (A.): b z x y (A.4) b z x y (A.5)

42 Subtrct (A.4) from (A.5) to elmnte z nd obtn y x f : 4 y 4 y 5 x f (A.6) where: 4 5 b b Substtute (A.6) nto (A.5) to elmnte x nd obtn y z f : y 6 y 7 z f (A.7) where: b 5 Now substtute (A.6) nd (A.7) nto the frst equton n (A.) to elmnte x nd z nd obtn sngle qudrtc n y only: where: 4 b c 5 y by c 0 (A.8) 45 x y 6 7 z x z x y z r here re two solutons for y: b b 4c y (A.9) o complete the ntersecton of three spheres soluton, substtute both y vlues y + nd y - from (A.9) nto (A.6) nd (A.7): x z 4 y 5 (A.0) 6 y 7 (A.) In generl there re two solutons, one correspondng to the postve nd the second to the negtve n (A.9). Obvously, the + nd solutons cnnot be swtched: x y z x y z (A.)

43 Exmple Let us now present n exmple to demonstrte the solutons n the ntersecton of three spheres lgorthm. Gven three spheres (c,r): 0 0 0, 0 0, 5, 4 (A.) he ntersecton of three spheres lgorthm yelds the followng two vld solutons: x y z 0 x y z (A.4) hese two solutons my be verfed by D sketch. hs completes the ntersecton of three spheres lgorthm. In the next subsectons we present severl mportnt topcs relted to ths threespheres ntersecton lgorthm: mgnry solutons, sngulrtes, nd multple solutons. Imgnry Solutons he three spheres ntersecton lgorthm cn yeld mgnry solutons. hs occurs when the rdcnd b 4c n (A.9) s less thn zero; ths yelds mgnry solutons for y, whch physclly mens not ll three spheres ntersect. If ths occurs n the hrdwre, there s ether jont ngle sensng error or modelng error, snce the hrdwre should ssemble properly. A specl cse occurs when the rdcnd b 4c n (A.9) s equl to zero. In ths cse, both solutons hve degenerted to sngle soluton,.e. two spheres meet tngentlly n sngle pont, nd the thrd sphere lso psses through ths pont. Sngulrtes he three spheres ntersecton lgorthm nd hence the overll forwrd pose knemtcs soluton s subject to sngulrtes. hese re ll lgorthmc sngulrtes,.e. there s dvson by zero n the mthemtcs, but no problem exsts n the hrdwre (no loss or gn n degrees of freedom). hs subsecton derves nd nlyzes the lgorthmc sngulrtes for the three spheres ntersecton lgorthm presented bove. Dfferent possble three spheres ntersecton lgorthms exst, by combnng dfferent equtons strtng wth (A.) nd elmntng nd solvng for dfferent vrbles frst. Ech hs dfferent set of lgorthmc sngulrtes. We only nlyze the lgorthm presented bove. Inspectng the lgorthm, represented n equtons (A.) (A.), we see there re four sngulrty condtons, ll nvolvng dvson by zero. Sngulrty Condtons (A.5)

44 44 he frst two sngulrty condtons: z z 0 (A.6) z z 0 (A.7) re stsfed when the centers of spheres nd or spheres nd hve the sme z coordnte,.e. z z or z z. herefore, n the nomnl cse where ll four vrtul sphere centers centers hve the sme z heght, ths three-spheres ntersecton lgorthm s lwys sngulr. An lternte soluton s presented n Appendx to overcome ths problem. he thrd sngulrty condton, 0 (A.8) Smplfes to: x z x z x z x z (A.9) For ths condton to be stsfed, the centers of spheres,, nd must be collner n the XZ plne. In generl, sngulrty condton les long the edge of the useful workspce nd thus presents no problem n hrdwre mplementton f the system s properly desgned regrdng workspce lmttons. he fourth sngulrty condton, Is stsfed when: (A.0) 4 6 (A.) It s mpossble to stsfy ths condton s long s 4 nd 6 from (A.6) nd (A.7) re rel numbers, s s the cse n hrdwre mplementtons. hus, the fourth sngulrty condton s never problem. Multple Solutons In generl the three spheres ntersecton lgorthm yelds two dstnct, correct solutons ( n (A.9 A.)). Generlly only one of these s the correct vld soluton, determned by the dmssble Delt Robot ssembly confgurtons.

45 45 Appendx. Smplfed hree-spheres Intersecton Algorthm We now derve the equtons nd soluton for the ntersecton pont of three gven spheres, ssumng ll three spheres hve dentcl vertcl center heghts. Assume tht the three gven spheres re ( c,r ), ( c,r ), nd ( c,r ). ht s, center vectors c x y z, c x y z, c x y z, nd rd r, r, nd r re known. he three sphere center vectors must be expressed n the sme frme, {} here, nd the nswer wll be n the sme coordnte frme. he equtons of the three spheres to ntersect re (choosng the frst three spheres): n n n ( x x ) ( y y ) ( zz ) r (.) ( x x ) ( y y ) ( zz ) r (.) ( x x ) ( y y ) ( zz ) r (.) Snce ll Z sphere-center heghts re the sme, we hve z z z z n. he unknown threespheres ntersecton pont s x y z. Expndng (-) yelds: x xx x y yy y z z n z z n r (.4) x xx x y yy y z z n z z n r (.5) x xxx y yy y z z n zz n r (.6) Subtrctng (6) from (4) nd (6) from (5) yelds: ( x x ) x( y y ) yx y x y r r (.7) ( x x ) x( y y ) y x y x y r r (.8) All non-lner terms of the unknowns x, y cncelled out n the subtrctons bove. Also, ll z- relted terms cncelled out n the bove subtrctons snce ll sphere-center z heghts re dentcl. Equtons (7-8) re two lner equtons n the two unknowns x, y, of the followng form. bx c d e y f (.9) where: ( x x ) b ( y y ) c r r x y x y d ( x x ) e ( y y ) f r r x y x y he unque soluton for two of the unknowns x, y s:

46 46 ce bf x e bd f cd y e bd (.0) Returnng to () to solve for the remnng unknown z: Az z C 0 (.) where: A z n n ( ) ( ) C z r xx y y Knowng the unque vlues x, y, the two possble solutons for the unknown z re found from the qudrtc formul: z pm, 4C (.) For the Delt Robot, ALWAYS choose the z heght soluton tht s below the bse trngle,.e. negtve z, snce tht s the only physclly-dmssble soluton. hs smplfed three-spheres ntersecton lgorthm soluton for x, y, z fls n two cses: ) When the determnnt of the coeffcent mtrx n the x, y, lner soluton (.0) s zero. ebd ( x x )( y y ) ( y y )( x x ) 0 (.) hs s n lgorthmc sngulrty whose condton cn be smplfed s follows. (.) becomes: ( x x )( y y ) ( y y )( x x ) (.4) If (.4) s stsfed there wll be n lgorthmc sngulrty. Note tht the lgorthmc sngulrty condton (.4) s only functon of constnt terms. herefore, ths sngulrty cn be voded by desgn,.e. proper plcement of the robot bse loctons n the XY plne. For symmetrc Delt Robot, ths prtculr lgorthmc sngulrty s voded by desgn. ) When the rdcnd n (.) s negtve, the soluton for z wll be mgnry. he condton 4C 0 yelds: ( x x ) ( y y ) r (.5) When ths nequlty s stsfed, the soluton for z wll be mgnry, whch mens tht the robot wll not ssemble for tht confgurton. Note tht (.5) s n nequlty for crcle. hs sngulrty wll NEVER occur f vld nputs re gven for the FK problem,.e. the Delt Robot ssembles.

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

3D Cable-Based Cartesian Metrology System

3D Cable-Based Cartesian Metrology System D Cble-Bsed Crtesn Metrology System Robert L. Wllms II Oho Unversty Athens, Oho Jmes S. Albus nd Roger V. Bostelmn NIST Gthersburg, MD Journl of Robotc Systems (5): 7-57, 4 Keywords: metrology, cble-bsed

More information

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

7.2 Volume. A cross section is the shape we get when cutting straight through an object. 7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A

More information

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers

Jens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

GAUSS ELIMINATION. Consider the following system of algebraic linear equations

GAUSS ELIMINATION. Consider the following system of algebraic linear equations Numercl Anlyss for Engneers Germn Jordnn Unversty GAUSS ELIMINATION Consder the followng system of lgebrc lner equtons To solve the bove system usng clsscl methods, equton () s subtrcted from equton ()

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml

More information

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU

Math 497C Sep 17, Curves and Surfaces Fall 2004, PSU Mth 497C Sep 17, 004 1 Curves nd Surfces Fll 004, PSU Lecture Notes 3 1.8 The generl defnton of curvture; Fox-Mlnor s Theorem Let α: [, b] R n be curve nd P = {t 0,...,t n } be prtton of [, b], then the

More information

Review of linear algebra. Nuno Vasconcelos UCSD

Review of linear algebra. Nuno Vasconcelos UCSD Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)

More information

COMPLEX NUMBER & QUADRATIC EQUATION

COMPLEX NUMBER & QUADRATIC EQUATION MCQ COMPLEX NUMBER & QUADRATIC EQUATION Syllus : Comple numers s ordered prs of rels, Representton of comple numers n the form + nd ther representton n plne, Argnd dgrm, lger of comple numers, modulus

More information

Remember: Project Proposals are due April 11.

Remember: Project Proposals are due April 11. Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,

More information

Katholieke Universiteit Leuven Department of Computer Science

Katholieke Universiteit Leuven Department of Computer Science Updte Rules for Weghted Non-negtve FH*G Fctorzton Peter Peers Phlp Dutré Report CW 440, Aprl 006 Ktholeke Unverstet Leuven Deprtment of Computer Scence Celestjnenln 00A B-3001 Heverlee (Belgum) Updte Rules

More information

Mobility Determination of Displacement Set Fully Parallel Platforms.

Mobility Determination of Displacement Set Fully Parallel Platforms. 12th IFToMM World Congress, Besnçon, June 18-21, 2007 Moblty Determnton of Dsplcement Set Fully Prllel Pltforms. José M. Rco Λ, J. Jesús Cervntes y, Jun Roch z Gerrdo I. Pérez x Alendro Tdeo. FIMEE, Unversdd

More information

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions: Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members Onlne Appendx to Mndtng Behvorl Conformty n Socl Groups wth Conformst Members Peter Grzl Andrze Bnk (Correspondng uthor) Deprtment of Economcs, The Wllms School, Wshngton nd Lee Unversty, Lexngton, 4450

More information

Two Coefficients of the Dyson Product

Two Coefficients of the Dyson Product Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

Multiple view geometry

Multiple view geometry EECS 442 Computer vson Multple vew geometry Perspectve Structure from Moton - Perspectve structure from moton prolem - mgutes - lgerc methods - Fctorzton methods - Bundle djustment - Self-clrton Redng:

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

Applied Statistics Qualifier Examination

Applied Statistics Qualifier Examination Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng

More information

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.)

Announcements. Image Formation: Outline. The course. Image Formation and Cameras (cont.) nnouncements Imge Formton nd Cmers (cont.) ssgnment : Cmer & Lenses, gd Trnsformtons, nd Homogrph wll be posted lter tod. CSE 5 Lecture 5 CS5, Fll CS5, Fll CS5, Fll The course rt : The phscs of mgng rt

More information

Workspace Analysis of a Novel Parallel Robot Named 3-R2H2S with Three Freedoms

Workspace Analysis of a Novel Parallel Robot Named 3-R2H2S with Three Freedoms Reserch Journl of Appled Scences, Engneerng nd Technology 6(0: 3847-3851, 013 ISS: 040-7459; e-iss: 040-7467 Mxwell Scentfc Orgnzton, 013 Submtted: Jnury 17, 013 Accepted: Februry, 013 Publshed: ovember

More information

An Introduction to Support Vector Machines

An Introduction to Support Vector Machines An Introducton to Support Vector Mchnes Wht s good Decson Boundry? Consder two-clss, lnerly seprble clssfcton problem Clss How to fnd the lne (or hyperplne n n-dmensons, n>)? Any de? Clss Per Lug Mrtell

More information

? plate in A G in

? plate in A G in Proble (0 ponts): The plstc block shon s bonded to rgd support nd to vertcl plte to hch 0 kp lod P s ppled. Knong tht for the plstc used G = 50 ks, deterne the deflecton of the plte. Gven: G 50 ks, P 0

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

SUMMER KNOWHOW STUDY AND LEARNING CENTRE SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18

More information

Vectors and Tensors. R. Shankar Subramanian. R. Aris, Vectors, Tensors, and the Equations of Fluid Mechanics, Prentice Hall (1962).

Vectors and Tensors. R. Shankar Subramanian. R. Aris, Vectors, Tensors, and the Equations of Fluid Mechanics, Prentice Hall (1962). 005 Vectors nd Tensors R. Shnkr Subrmnn Good Sources R. rs, Vectors, Tensors, nd the Equtons of Flud Mechncs, Prentce Hll (96). nd ppendces n () R. B. Brd, W. E. Stewrt, nd E. N. Lghtfoot, Trnsport Phenomen,

More information

CENTROID (AĞIRLIK MERKEZİ )

CENTROID (AĞIRLIK MERKEZİ ) CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.

More information

2.12 Pull Back, Push Forward and Lie Time Derivatives

2.12 Pull Back, Push Forward and Lie Time Derivatives Secton 2.2 2.2 Pull Bck Push Forwrd nd e me Dertes hs secton s n the mn concerned wth the follown ssue: n oserer ttched to fxed sy Crtesn coordnte system wll see mterl moe nd deform oer tme nd wll osere

More information

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston

More information

Strong Gravity and the BKL Conjecture

Strong Gravity and the BKL Conjecture Introducton Strong Grvty nd the BKL Conecture Dvd Slon Penn Stte October 16, 2007 Dvd Slon Strong Grvty nd the BKL Conecture Introducton Outlne The BKL Conecture Ashtekr Vrbles Ksner Sngulrty 1 Introducton

More information

8. INVERSE Z-TRANSFORM

8. INVERSE Z-TRANSFORM 8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere

More information

PART 1: VECTOR & TENSOR ANALYSIS

PART 1: VECTOR & TENSOR ANALYSIS PART : VECTOR & TENSOR ANALYSIS wth LINEAR ALGEBRA Obectves Introduce the concepts, theores, nd opertonl mplementton of vectors, nd more generlly tensors, n dvnced engneerng nlyss. The emphss s on geometrc

More information

Haddow s Experiment:

Haddow s Experiment: schemtc drwng of Hddow's expermentl set-up movng pston non-contctng moton sensor bems of sprng steel poston vres to djust frequences blocks of sold steel shker Hddow s Experment: terr frm Theoretcl nd

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl

More information

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng

More information

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

Linear and Nonlinear Optimization

Linear and Nonlinear Optimization Lner nd Nonlner Optmzton Ynyu Ye Deprtment of Mngement Scence nd Engneerng Stnford Unversty Stnford, CA 9430, U.S.A. http://www.stnford.edu/~yyye http://www.stnford.edu/clss/msnde/ Ynyu Ye, Stnford, MS&E

More information

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors An Algorthm to Solve the Inverse Knematcs Problem of a Robotc Manpulator Based on Rotaton Vectors Mohamad Z. Al-az*, Mazn Z. Othman**, and Baker B. Al-Bahr* *AL-Nahran Unversty, Computer Eng. Dep., Baghdad,

More information

Partial Derivatives. Limits. For a single variable function f (x), the limit lim

Partial Derivatives. Limits. For a single variable function f (x), the limit lim Limits Prtil Derivtives For single vrible function f (x), the limit lim x f (x) exists only if the right-hnd side limit equls to the left-hnd side limit, i.e., lim f (x) = lim f (x). x x + For two vribles

More information

Torsion, Thermal Effects and Indeterminacy

Torsion, Thermal Effects and Indeterminacy ENDS Note Set 7 F007bn orson, herml Effects nd Indetermncy Deformton n orsonlly Loded Members Ax-symmetrc cross sectons subjected to xl moment or torque wll remn plne nd undstorted. At secton, nternl torque

More information

Computing a complete histogram of an image in Log(n) steps and minimum expected memory requirements using hypercubes

Computing a complete histogram of an image in Log(n) steps and minimum expected memory requirements using hypercubes Computng complete hstogrm of n mge n Log(n) steps nd mnmum expected memory requrements usng hypercubes TAREK M. SOBH School of Engneerng, Unversty of Brdgeport, Connectcut, USA. Abstrct Ths work frst revews

More information

Bridging the gap: GCSE AS Level

Bridging the gap: GCSE AS Level Bridging the gp: GCSE AS Level CONTENTS Chpter Removing rckets pge Chpter Liner equtions Chpter Simultneous equtions 8 Chpter Fctors 0 Chpter Chnge the suject of the formul Chpter 6 Solving qudrtic equtions

More information

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB

LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB Journl of Appled Mthemtcs nd Computtonl Mechncs 5, 4(4), 5-3 www.mcm.pcz.pl p-issn 99-9965 DOI:.75/jmcm.5.4. e-issn 353-588 LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION

More information

ragsdale (zdr82) HW6 ditmire (58335) 1 the direction of the current in the figure. Using the lower circuit in the figure, we get

ragsdale (zdr82) HW6 ditmire (58335) 1 the direction of the current in the figure. Using the lower circuit in the figure, we get rgsdle (zdr8) HW6 dtmre (58335) Ths prnt-out should hve 5 questons Multple-choce questons my contnue on the next column or pge fnd ll choces efore nswerng 00 (prt of ) 00 ponts The currents re flowng n

More information

Model Fitting and Robust Regression Methods

Model Fitting and Robust Regression Methods Dertment o Comuter Engneerng Unverst o Clorn t Snt Cruz Model Fttng nd Robust Regresson Methods CMPE 64: Imge Anlss nd Comuter Vson H o Fttng lnes nd ellses to mge dt Dertment o Comuter Engneerng Unverst

More information

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies

State space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response

More information

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.)

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.) MORE FUNCTION GRAPHING; OPTIMIZATION FRI, OCT 25, 203 (Lst edited October 28, 203 t :09pm.) Exercise. Let n be n rbitrry positive integer. Give n exmple of function with exctly n verticl symptotes. Give

More information

Symmetries and Conservation Laws in Classical Mechanics

Symmetries and Conservation Laws in Classical Mechanics Symmetres nd Conservton Lws n Clsscl Mechncs Wllm Andrew Astll September 30, 0 Abstrct Ths pper wll provde detled explorton nd explnton of symmetres n clsscl mechncs nd how these symmetres relte to conservton

More information

4.4 Areas, Integrals and Antiderivatives

4.4 Areas, Integrals and Antiderivatives . res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR

THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR REVUE D ANALYSE NUMÉRIQUE ET DE THÉORIE DE L APPROXIMATION Tome 32, N o 1, 2003, pp 11 20 THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR TEODORA CĂTINAŞ Abstrct We extend the Sheprd opertor by

More information

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,

More information

Singularity Surfaces and Maximal Singularity-Free Boxes in the Joint Space of Planar 3-RPR Parallel Manipulators

Singularity Surfaces and Maximal Singularity-Free Boxes in the Joint Space of Planar 3-RPR Parallel Manipulators Sngulrt Surfces nd Mml Sngulrt-Free Boes n the Jont Spce of Plnr 3-RPR Prllel Mnpultors Mzen ZEIN Phlppe WENGER Dmen CHABLAT IRCCN, Insttut de recherche en communctons et cbernéthque de Nntes 1, rue de

More information

A Tri-Valued Belief Network Model for Information Retrieval

A Tri-Valued Belief Network Model for Information Retrieval December 200 A Tr-Vlued Belef Networ Model for Informton Retrevl Fernndo Ds-Neves Computer Scence Dept. Vrgn Polytechnc Insttute nd Stte Unversty Blcsburg, VA 24060. IR models t Combnng Evdence Grphcl

More information

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245.

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245. Trgonometry Trgonometry Solutons Currulum Redy CMMG:, 4, 4 www.mthlets.om Trgonometry Solutons Bss Pge questons. Identfy f the followng trngles re rght ngled or not. Trngles,, d, e re rght ngled ndted

More information

Zbus 1.0 Introduction The Zbus is the inverse of the Ybus, i.e., (1) Since we know that

Zbus 1.0 Introduction The Zbus is the inverse of the Ybus, i.e., (1) Since we know that us. Introducton he us s the nverse of the us,.e., () Snce we now tht nd therefore then I V () V I () V I (4) So us reltes the nodl current njectons to the nodl voltges, s seen n (4). In developng the power

More information

Statistics 423 Midterm Examination Winter 2009

Statistics 423 Midterm Examination Winter 2009 Sttstcs 43 Mdterm Exmnton Wnter 009 Nme: e-ml: 1. Plese prnt your nme nd e-ml ddress n the bove spces.. Do not turn ths pge untl nstructed to do so. 3. Ths s closed book exmnton. You my hve your hnd clcultor

More information

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Dol Bgyoko (0 FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Introducton Expressons of the form P(x o + x + x + + n x n re clled polynomls The coeffcents o,, n re ndependent of x nd the exponents 0,,,

More information

13.4 Work done by Constant Forces

13.4 Work done by Constant Forces 13.4 Work done by Constnt Forces We will begin our discussion of the concept of work by nlyzing the motion of n object in one dimension cted on by constnt forces. Let s consider the following exmple: push

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

Physics for Scientists and Engineers I

Physics for Scientists and Engineers I Phscs for Scentsts nd Engneers I PHY 48, Secton 4 Dr. Betr Roldán Cuen Unverst of Centrl Flord, Phscs Deprtment, Orlndo, FL Chpter - Introducton I. Generl II. Interntonl Sstem of Unts III. Converson of

More information

SOLUTIONS FOR ADMISSIONS TEST IN MATHEMATICS, COMPUTER SCIENCE AND JOINT SCHOOLS WEDNESDAY 5 NOVEMBER 2014

SOLUTIONS FOR ADMISSIONS TEST IN MATHEMATICS, COMPUTER SCIENCE AND JOINT SCHOOLS WEDNESDAY 5 NOVEMBER 2014 SOLUTIONS FOR ADMISSIONS TEST IN MATHEMATICS, COMPUTER SCIENCE AND JOINT SCHOOLS WEDNESDAY 5 NOVEMBER 014 Mrk Scheme: Ech prt of Question 1 is worth four mrks which re wrded solely for the correct nswer.

More information

6.6 The Marquardt Algorithm

6.6 The Marquardt Algorithm 6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent

More information

Calculation of time complexity (3%)

Calculation of time complexity (3%) Problem 1. (30%) Calculaton of tme complexty (3%) Gven n ctes, usng exhaust search to see every result takes O(n!). Calculaton of tme needed to solve the problem (2%) 40 ctes:40! dfferent tours 40 add

More information

Iterative General Dynamic Model for Serial-Link Manipulators

Iterative General Dynamic Model for Serial-Link Manipulators EEL6667: Knematcs, Dynamcs and Control of Robot Manpulators 1. Introducton Iteratve General Dynamc Model for Seral-Lnk Manpulators In ths set of notes, we are gong to develop a method for computng a general

More information

ANALOG CIRCUIT SIMULATION BY STATE VARIABLE METHOD

ANALOG CIRCUIT SIMULATION BY STATE VARIABLE METHOD U.P.B. Sc. Bull., Seres C, Vol. 77, Iss., 25 ISSN 226-5 ANAOG CIRCUIT SIMUATION BY STATE VARIABE METHOD Rodc VOICUESCU, Mh IORDACHE 22 An nlog crcut smulton method, bsed on the stte euton pproch, s presented.

More information

Work and Energy (Work Done by a Varying Force)

Work and Energy (Work Done by a Varying Force) Lecture 1 Chpter 7 Physcs I 3.5.14 ork nd Energy (ork Done y Vryng Force) Course weste: http://fculty.uml.edu/andry_dnylov/techng/physcsi Lecture Cpture: http://echo36.uml.edu/dnylov13/physcs1fll.html

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 9

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 9 CS434/541: Pttern Recognton Prof. Olg Veksler Lecture 9 Announcements Fnl project proposl due Nov. 1 1-2 prgrph descrpton Lte Penlt: s 1 pont off for ech d lte Assgnment 3 due November 10 Dt for fnl project

More information

Many-Body Calculations of the Isotope Shift

Many-Body Calculations of the Isotope Shift Mny-Body Clcultons of the Isotope Shft W. R. Johnson Mrch 11, 1 1 Introducton Atomc energy levels re commonly evluted ssumng tht the nucler mss s nfnte. In ths report, we consder correctons to tomc levels

More information

Introduction to Numerical Integration Part II

Introduction to Numerical Integration Part II Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w

More information

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0) 1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this

More information

KINEMATIC AND DYNAMIC ANALYSIS OF MOBILE ROBOT

KINEMATIC AND DYNAMIC ANALYSIS OF MOBILE ROBOT KINEMATIC AND DYNAMIC ANALYSIS OF MOBILE ROBOT MAUNG THAN ZAW NATIONAL UNIVERSITY OF SINGAPORE 3 KINEMATIC AND DYNAMIC ANALYSIS OF MOBILE ROBOT MAUNG THAN ZAW (B.Eng (Electroncs), M.Sc (Mechtroncs)) A

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES

THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES 1. TRANSLATION Figure shows rigid body trnslting in three-dimensionl spce. Any two points in the body, such s A nd B, will move long prllel stright lines if

More information

13 Design of Revetments, Seawalls and Bulkheads Forces & Earth Pressures

13 Design of Revetments, Seawalls and Bulkheads Forces & Earth Pressures 13 Desgn of Revetments, Sewlls nd Bulkheds Forces & Erth ressures Ref: Shore rotecton Mnul, USACE, 1984 EM 1110--1614, Desgn of Revetments, Sewlls nd Bulkheds, USACE, 1995 Brekwters, Jettes, Bulkheds nd

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Things to Memorize: A Partial List. January 27, 2017

Things to Memorize: A Partial List. January 27, 2017 Things to Memorize: A Prtil List Jnury 27, 2017 Chpter 2 Vectors - Bsic Fcts A vector hs mgnitude (lso clled size/length/norm) nd direction. It does not hve fixed position, so the sme vector cn e moved

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

Statistics and Probability Letters

Statistics and Probability Letters Sttstcs nd Probblty Letters 79 (2009) 105 111 Contents lsts vlble t ScenceDrect Sttstcs nd Probblty Letters journl homepge: www.elsever.com/locte/stpro Lmtng behvour of movng verge processes under ϕ-mxng

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus:

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus: More on χ nd errors : uppose tht we re fttng for sngle -prmeter, mnmzng: If we epnd The vlue χ ( ( ( ; ( wth respect to. χ n Tlor seres n the vcnt of ts mnmum vlue χ ( mn χ χ χ χ + + + mn mnmzes χ, nd

More information

Chapter 1: Fundamentals

Chapter 1: Fundamentals Chpter 1: Fundmentls 1.1 Rel Numbers Types of Rel Numbers: Nturl Numbers: {1, 2, 3,...}; These re the counting numbers. Integers: {... 3, 2, 1, 0, 1, 2, 3,...}; These re ll the nturl numbers, their negtives,

More information

Chapter Runge-Kutta 2nd Order Method for Ordinary Differential Equations

Chapter Runge-Kutta 2nd Order Method for Ordinary Differential Equations Cter. Runge-Kutt nd Order Metod or Ordnr Derentl Eutons Ater redng ts cter ou sould be ble to:. understnd te Runge-Kutt nd order metod or ordnr derentl eutons nd ow to use t to solve roblems. Wt s te Runge-Kutt

More information

PHYS 2421 Fields and Waves

PHYS 2421 Fields and Waves PHYS 242 Felds nd Wves Instucto: Joge A. López Offce: PSCI 29 A, Phone: 747-7528 Textook: Unvesty Physcs e, Young nd Feedmn 23. Electc potentl enegy 23.2 Electc potentl 23.3 Clcultng electc potentl 23.4

More information

Lecture 36. Finite Element Methods

Lecture 36. Finite Element Methods CE 60: Numercl Methods Lecture 36 Fnte Element Methods Course Coordntor: Dr. Suresh A. Krth, Assocte Professor, Deprtment of Cvl Engneerng, IIT Guwht. In the lst clss, we dscussed on the ppromte methods

More information

Smart Motorways HADECS 3 and what it means for your drivers

Smart Motorways HADECS 3 and what it means for your drivers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers Vehcle Rentl Smrt Motorwys HADECS 3 nd wht t mens for your drvers You my hve seen some news rtcles bout the ntroducton of Hghwys Englnd

More information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information