A Novel Speed Controller Based on Lagrange s Interpolation for Closed-loop Control of a CSI-fed Induction Motor Drive
|
|
- Samantha Allen
- 5 years ago
- Views:
Transcription
1 A Novel Speed Cotroller Based o Lagrage s terpolato for Closed-loop Cotrol of a CS-fed ducto Motor Drve S. M. Trpath A. K. Srvastava A. K. Padey 3 Abstr Ths work ams to vestgate the feasblty of a ovel speed cotroller based o Lagrage s terpolato (L for better performace of a self-commutated curret source verter-fed ducto motor drve. The L speed cotroller s based upo the look-up table prepared from a seres of smulated patters of referece p speed vs. speed error of the classcal P speed cotroller. The performace of the drve employg ths ovel L speed cotroller s evaluated aalytcally for a -hp ducto motor ad s compared to that wth classcal P speed cotroller usg MATLAB smulato. Keywords Closed-loop cotrol, curret source verter, ducto motor drve, Lagrage s terpolato (L, speed cotroller. 6. NTRODUCTON ducto motors hgh performace varable speed drve applcatos have a seres of advatages. For such kd of applcato, the varable speed drve requres a good power processg system ad a good cotroller. A good power processg system s charerzed by ts smplcty, ruggedess, ad lower cost. The curret source verter (CS has all these features. CS-fed ducto motor drve, the curret source at the frot ed makes the system aturally capable of power regeerato []-[3]. Proportoal plus tegral (P cotrollers, whch are covetoally employed for CS-fed ducto motor drves; suffer from some lmtatos as the desg of these cotrollers depeds o ex mathematcal model wth accurate parameters [4]. A model referece adaptve cotroller (MRAC was reported to mprove the behavor of CS-fed ducto motor drve. However, wde rage of speed cotrol, the desg of MRAC cotroller becomes rather complcated [4]. The desg of tellget cotrollers based o artfcal tellgece (A does ot eed the ex mathematcal model of the system. Therefore, artfcal eural etwork (ANN ad fuzzy logc cotrol (FLC demad specal atteto for speed cotrol of hgh performace ducto motor drves [5]-[6]. The ma desg problem wth FLC les the determato of cosstet ad complete rule set ad shape of the membershp fuctos. The paper frst receved 9 Feb ad revsed form 6 July. Dgtal Ref: A974 Departmet of Electrcal Egg., Kamla Nehru sttute of Techology, Sultapur (U.P., da, E-mal: ma_excel@yahoo.co. Departmet of Electrcal & Electrocs Egeerg, Kamla Nehru sttute of Physcal & Socal Sceces, Sultapur (U.P., da, E-mal: aakt.srvastava3@gmal.com 3 Departmet of Electrcal Egeerg, M. M. M. Egeerg College, Gorakhpur (U.P., da, E-mal: akp34@gmal.com O the other had, ANN aloe s suffcet f the trag data are ot eough to take care of all the operatg modes [6]. the preset paper, the closed-loop scheme of a selfcommutated curret source verter-fed ducto motor drve employg a ovel Lagrage s terpolato (L based speed cotroller s vestgated for better performace.. LAGRANGE S NTERPOLATON (L BASED SPEED CONTROLLER The covetoal CS-fed ducto motor drve system essetally cossts of a three-phase AC source, a PWM rectfer, a DC lk smootheg reor, a curretcotrolled verter, a three-phase squrrel cage ducto motor, a three-phase capor bak, ad two P cotrollers oe the outer speed feedback loop ad the other the er curret feedback loop. the preset work, the outer P speed cotroller of the covetoal CS-fed ducto motor drve system [7]-[8] has bee replaced by a ovel speed cotroller based o the Lagrage s terpolato (L techque as show Fgure. The closed-form mathematcal model of the CS-fed ducto motor drve system has bee cosdered the same as developed [8] excludg the speed cotroller outer feedback loop. The cotrol law for the L based speed cotroller outer feedback loop s developed ths secto. The L based speed cotroller compares the referece speed ad the ual rotor speed ad processes the speed error to obta the referece p speed (. The fuctoal relatoshp betwee referece p speed ad the speed error ref ca be expressed as: ( r ( ; Polyomal terpolato s based o the well kow f that ay th order polyomal s uquely determed by ( pots wth dstct argumet values. Complat wth a famous theorem due to Weerstrass [9], the sglevalued fucto ca be approxmated by a polyomal P passg through the ( pots [, ( ] ;,,, wth very small error,.e. P ( A A A A ( where A s are costats.
2 Asa Power Electrocs Joural, Vol. 6, No., Oct Fg. : Varable speed self-commutated curret source verter-fed ducto motor drve wth L speed cotroller O puttg, P ( ;,,, (, ( A, A, A ad elmatg, A the followg expresso s obtaed: ( ( ( ( ( ( ( ( ( ( ( ( Expadg terms of the elemets of the frst colum, the requred cotrol law for Lagrage s terpolato based speed cotroller s obtaed as follows: j ( (4 j j j Numerous patters for referece p speed vs. speed error wth covetoal P speed cotroller, keepg parameters such as k ad k to optmal values for a gve ps s loadg codto, are obtaed through a MATLAB program. A few of these patters are selected to costtute a look-up table, whch of course s the result of a few repeated trals. These look-up data sets are cosdered as ( pots vz. [, ( ] ;,,, the cotrol law (4 for Lagrage s terpolato based speed cotroller. Usg (4 the value of referece p speed ca be determed wheever speed error s. Ths referece p speed ( s requred to estmate the referece stator ve curret (, referece stator reve curret ( re of the ducto motor ad the (3 swtchg frequecy of the verter ( e usg the followg equatos: k costat (5 re k costat (6 e r (7 Here, k ad k are the opes of the stator ve curret vs. p speed ad stator reve curret vs. p speed charerstcs respectvely. These charerstcs are obtaed expermetally [7]. The referece DC lk curret s determed usg the equatos: ref re c'. k (8 c ' re c (9 c k e c ( rated ( e ( rated k ( (. SMULATON RESULTS AND DSCUSSONS Smulatos are fually focused o whether or ot the performace of the drve wth L-P (L speed ad P curret cotrollers s better tha that wth P-P (P speed ad P curret cotrollers. For the comparso terms of the percetage overshoot, settlg tme ad steady-state error, MATLAB smulatos of the covetoal CS drve employg P-P cotrollers ad the proposed CS drve employg L-P cotrollers are performed for dfferet step varatos referece speed each after a terval of secods as show Fg.. For a clear judgmet, the resposes of the drve are cosdered separately for each alterato referece speed. 7
3 Fg. : Respose of the drve for step chages referece speed each after a terval of secods Fg.3: Respose of the drve for step chages referece speed from rad/s to 98.9 rad/s Fg.4: Respose of the drve for step chages referece speed from 98.9 rad/s to 75 rad/s Fg. 5: Respose of the drve for step chages referece speed from 75 rad/s to 5 rad/s 8
4 Asa Power Electrocs Joural, Vol. 6, No., Oct Fg. 6: Respose of the drve for step chages referece speed from 5 rad/s to 98.9 rad/s Fg. 7: Respose of the drve for step chages referece speed from 98.9 rad/s to 5 rad/s Fg.8: Respose of the drve for step chages referece speed from 5 rad/s to 75 rad/s Fgs: 3-8 show the speed ad DC lk curret resposes of the drve separately for step chages referece speed from rad/s to 98.9 rad/s (start-up, 98.9 rad/s to 75 rad/s (decelerato, 75 rad/s to 5 rad/s (decelerato, 5 rad/s to 98.9 rad/s (accelerato, 98.9 rad/s to 5 rad/s (decelerato, ad 5 rad/s to 75 rad/s (accelerato respectvely. The steady-state DC lk curret, percetage overshoot, drve settlg tme ad steady-state error correspodg to dfferet alteratos referece speed stated aforesad, are summarzed Table-. t has bee foud that the steadystate value of the DC lk curret s creased / decreased wth crease / decrease motor speed. The percetage overshoot ad settlg tme of the drve wth L based speed cotroller s less tha that wth the covetoal P speed cotroller. t s also observed that the steady-state error speed respose of the drve wth L based speed cotroller s more tha that wth covetoal P speed cotroller. f, ths s due to the error assocated wth the approxmato of the fucto by meas of a polyomal P. However, the percetage steady-state error s wth the prescrbed lmt of %. Ths way the speed ad curret respose curves obtaed through MATLAB smulato ad fs Table show the success of proposed L based speed cotroller. 9
5 Sr. Step-chage referece speed (rad/s Table : Performace of the drve for each alterato referece speed Steady-state DC lk curret (A Speed overshoot (% Drve settlg tme (s Steady-state speed error (% From To L - P P - P L P P - P L P P - P L - P P - P V. CONCLUSONS A ovel speed cotroller based o Lagrage s terpolato has bee troduced for CS-fed ducto motor drve ad the cotrol law for L speed cotroller s establshed. The drve s smulated for both P ad L speed cotrollers for dfferet speed varatos the referece speed. The results for both cotrollers uder each varato referece speed are compared ad aalyzed. t s observed that the chages the DC lk currets, accordace wth ay dsturbaces the referece speed, are mmedate wth L-P cotrollers whe compared wth P-P cotrollers. Though, t s also see that the steady state error the speed respose of the drve s more wth L speed cotroller tha that wth covetoal P speed cotroller, yet t s wth prescrbed lmt ad s, therefore, acceptable. Moreover, the CS fed ducto motor drve system usg a L speed cotroller has reduced speed overshoot ad settlg tme compared to the system wth a P speed cotroller. Ths way, the smulato results have proved the feasblty ad better performace of the proposed speed cotroller based o Lagrage s terpolato for closed-loop cotrol of a selfcommutated CS-fed ducto motor drve. APPENDX Name plate ratgs of ducto motor hp, three-phase, 4 V, 5 Hz, 4-pole, 45 rpm, star ducto motor parameters R s = 3.5 R r =.78 L s =.65 H L r =.65 H L m =.5 H J =.89 kg-m Parameters of DC lk ad capor bak R f =.5, L f =.4 H, C = 5 µf DC Geerator specfcato hp, V, 4 A, 5 rpm, shut coected REFERENCES [] P. Agarwal ad V. K. Verma, Performace Evaluato of Curret Source verter-fed ducto Motor Drve, Jourals of sttuto of Egeers, vol.7, pp. 9-7, February 99. [] P.N. Ejet, P.D. Zogas ad J.F. Ldsay, Programmed PWM Techque to Elmate Harmocs: A Crtcal Evaluato, EEE Trasos o dustry Applcatos, vol. 6, o., pp. 3-35, March/Aprl 99. [3] Y. Xao, B. Wu, S. Rzzo ad R. Sotude, A Novel Power For Cotrol Scheme for Hgh Power GTO Curret Source Coverter, Coferece Record EEE-AS, pp , 996. [4] C. M. Law, C.T. Pa ad Y.C. Che, "Desg ad mplemetato of a Adaptve Cotroller for Curret-fed ducto Motor", EEE Tras. o d. Electrocs, vol. 35, o.3, pp , 988. [5] Rajesh Kumar, R.A. Gupta, S.V. Bhagale ad Hmashu Gothwal, ANN Based Cotrol ad Estmato of Drect Torque Cotrolled ducto Motor Drve, Asa Power Electrocs Joural, vol., o. 3, pp. 5-, Dec. 8. [6] Rajesh Kumar, R. A. Gupta ad Rajesh S. Surjuse, Adaptve Neuro-Fuzzy Speed Cotroller for Vector Cotrolled ducto Motor Drve, Asa Power Electrocs Joural, vol. 3, o., pp. 8-4, Sept 9. [7] Pramod Agarwal, A.K. Padey ad V.K. Verma, Performace vestgato of Modfed Self-commutated CS-fed ducto Motor Drve, Asa Power Electrocs Joural, vol. 3, o., pp. -9, Sept 9. [8] S.M. Trpath ad A.K. Padey, Dyamc Performace Aalyss of Self-commutatg PWM CS-fed ducto Motor Drve uder MATLAB Evromet, Asa Power Electrocs Joural, vol. 5, o., pp. 9-4, August. [9] S.S. Sastry, troductory Methods of Numercal Aalyss, Pretce-Hall of da, New Delh, 3 rd Edto, Chapter 3, May. BOGRAPHES Saurabh Ma Trpath s presetly workg as Assstat Professor of Electrcal Egeerg at Kamla Nehru sttute of Techology, Sultapur, (U.P., da. He obtaed hs B.Tech. degree Electrcal & Electrocs Egeerg 6 ad dd hs M.Tech. Electrcal Egeerg 9 from U.P. Techcal Uversty, Luckow. He has authored several books o Moder Cotrol System ad Basc System Aalyss. Hs areas of curret terest clude electrcal maches, cotrol systems, power electrocs ad electrc drves. Akt Kumar Srvastava s wth the departmet of Electrcal & Electrocs Egeerg at Kamla Nehru sttute of Physcal & Socal Sceces, Sultapur, (U.P. da. He receved hs B.Tech. degree Electrcal Egeerg 8 from V.B.S. Purvachal Uversty, Jaupur, (U.P., da. He dd hs M.Tech. Power Electrocs ad Drves from Kamla Nehru sttute of Techology, Sultapur, (U.P., da. Hs terests are the areas of power electrocs ad electrc drves. Ashok Kumar Padey receved hs Ph.D. degree Electrcal Egeerg from da sttute of Techology, Roorkee 3. He dd hs M.Tech. Power Electrocs, Electrcal Maches ad Drves from da sttute of Techology, Delh 995. Curretly, he s workg as a Assocate Professor wth the Departmet of Electrcal Egeerg at M.M.M. Egeerg College, Gorakhpur, (U.P., da. Hs areas of terest clude power electrocs, electrcal maches, ad drve.
Analysis of Lagrange Interpolation Formula
P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal
More informationEstimation of Stress- Strength Reliability model using finite mixture of exponential distributions
Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur
More informationFunctions of Random Variables
Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,
More informationSolving Constrained Flow-Shop Scheduling. Problems with Three Machines
It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632
More informationCubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem
Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs
More informationA Method for Damping Estimation Based On Least Square Fit
Amerca Joural of Egeerg Research (AJER) 5 Amerca Joural of Egeerg Research (AJER) e-issn: 3-847 p-issn : 3-936 Volume-4, Issue-7, pp-5-9 www.ajer.org Research Paper Ope Access A Method for Dampg Estmato
More informationBeam Warming Second-Order Upwind Method
Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet
More informationIntroduction to local (nonparametric) density estimation. methods
Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest
More informationApplication of Calibration Approach for Regression Coefficient Estimation under Two-stage Sampling Design
Authors: Pradp Basak, Kaustav Adtya, Hukum Chadra ad U.C. Sud Applcato of Calbrato Approach for Regresso Coeffcet Estmato uder Two-stage Samplg Desg Pradp Basak, Kaustav Adtya, Hukum Chadra ad U.C. Sud
More informationA Collocation Method for Solving Abel s Integral Equations of First and Second Kinds
A Collocato Method for Solvg Abel s Itegral Equatos of Frst ad Secod Kds Abbas Saadatmad a ad Mehd Dehgha b a Departmet of Mathematcs, Uversty of Kasha, Kasha, Ira b Departmet of Appled Mathematcs, Faculty
More informationA New Family of Transformations for Lifetime Data
Proceedgs of the World Cogress o Egeerg 4 Vol I, WCE 4, July - 4, 4, Lodo, U.K. A New Famly of Trasformatos for Lfetme Data Lakhaa Watthaacheewakul Abstract A famly of trasformatos s the oe of several
More informationBERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler
Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,
More informationJournal of Mathematical Analysis and Applications
J. Math. Aal. Appl. 365 200) 358 362 Cotets lsts avalable at SceceDrect Joural of Mathematcal Aalyss ad Applcatos www.elsever.com/locate/maa Asymptotc behavor of termedate pots the dfferetal mea value
More informationBayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information
Malaysa Joural of Mathematcal Sceces (): 97- (9) Bayes Estmator for Expoetal Dstrbuto wth Exteso of Jeffery Pror Iformato Hadeel Salm Al-Kutub ad Noor Akma Ibrahm Isttute for Mathematcal Research, Uverst
More informationApplication of Legendre Bernstein basis transformations to degree elevation and degree reduction
Computer Aded Geometrc Desg 9 79 78 www.elsever.com/locate/cagd Applcato of Legedre Berste bass trasformatos to degree elevato ad degree reducto Byug-Gook Lee a Yubeom Park b Jaechl Yoo c a Dvso of Iteret
More informationSimulation Output Analysis
Smulato Output Aalyss Summary Examples Parameter Estmato Sample Mea ad Varace Pot ad Iterval Estmato ermatg ad o-ermatg Smulato Mea Square Errors Example: Sgle Server Queueg System x(t) S 4 S 4 S 3 S 5
More informationComparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates
Joural of Moder Appled Statstcal Methods Volume Issue Artcle 8 --03 Comparso of Parameters of Logormal Dstrbuto Based O the Classcal ad Posteror Estmates Raja Sulta Uversty of Kashmr, Sragar, Ida, hamzasulta8@yahoo.com
More informationChapter 8: Statistical Analysis of Simulated Data
Marquette Uversty MSCS600 Chapter 8: Statstcal Aalyss of Smulated Data Dael B. Rowe, Ph.D. Departmet of Mathematcs, Statstcs, ad Computer Scece Copyrght 08 by Marquette Uversty MSCS600 Ageda 8. The Sample
More informationComparison of Dual to Ratio-Cum-Product Estimators of Population Mean
Research Joural of Mathematcal ad Statstcal Sceces ISS 30 6047 Vol. 1(), 5-1, ovember (013) Res. J. Mathematcal ad Statstcal Sc. Comparso of Dual to Rato-Cum-Product Estmators of Populato Mea Abstract
More informationBayes Interval Estimation for binomial proportion and difference of two binomial proportions with Simulation Study
IJIEST Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue 5, July 04. Bayes Iterval Estmato for bomal proporto ad dfferece of two bomal proportos wth Smulato Study Masoud Gaj, Solmaz hlmad
More informationto the estimation of total sensitivity indices
Applcato of the cotrol o varate ate techque to the estmato of total sestvty dces S KUCHERENKO B DELPUECH Imperal College Lodo (UK) skuchereko@mperalacuk B IOOSS Electrcté de Frace (Frace) S TARANTOLA Jot
More information{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:
Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed
More informationA New Measure of Probabilistic Entropy. and its Properties
Appled Mathematcal Sceces, Vol. 4, 200, o. 28, 387-394 A New Measure of Probablstc Etropy ad ts Propertes Rajeesh Kumar Departmet of Mathematcs Kurukshetra Uversty Kurukshetra, Ida rajeesh_kuk@redffmal.com
More informationPGE 310: Formulation and Solution in Geosystems Engineering. Dr. Balhoff. Interpolation
PGE 30: Formulato ad Soluto Geosystems Egeerg Dr. Balhoff Iterpolato Numercal Methods wth MATLAB, Recktewald, Chapter 0 ad Numercal Methods for Egeers, Chapra ad Caale, 5 th Ed., Part Fve, Chapter 8 ad
More informationbest estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best
Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg
More informationBlock-Based Compact Thermal Modeling of Semiconductor Integrated Circuits
Block-Based Compact hermal Modelg of Semcoductor Itegrated Crcuts Master s hess Defese Caddate: Jg Ba Commttee Members: Dr. Mg-Cheg Cheg Dr. Daqg Hou Dr. Robert Schllg July 27, 2009 Outle Itroducto Backgroud
More informationAn Indian Journal FULL PAPER ABSTRACT KEYWORDS. Trade Science Inc. Research on scheme evaluation method of automation mechatronic systems
[ype text] [ype text] [ype text] ISSN : 0974-7435 Volume 0 Issue 6 Boechology 204 Ida Joural FULL PPER BIJ, 0(6, 204 [927-9275] Research o scheme evaluato method of automato mechatroc systems BSRC Che
More informationA tighter lower bound on the circuit size of the hardest Boolean functions
Electroc Colloquum o Computatoal Complexty, Report No. 86 2011) A tghter lower boud o the crcut sze of the hardest Boolea fuctos Masak Yamamoto Abstract I [IPL2005], Fradse ad Mlterse mproved bouds o the
More informationAnalyzing Fuzzy System Reliability Using Vague Set Theory
Iteratoal Joural of Appled Scece ad Egeerg 2003., : 82-88 Aalyzg Fuzzy System Relablty sg Vague Set Theory Shy-Mg Che Departmet of Computer Scece ad Iformato Egeerg, Natoal Tawa versty of Scece ad Techology,
More informationArithmetic Mean and Geometric Mean
Acta Mathematca Ntresa Vol, No, p 43 48 ISSN 453-6083 Arthmetc Mea ad Geometrc Mea Mare Varga a * Peter Mchalča b a Departmet of Mathematcs, Faculty of Natural Sceces, Costate the Phlosopher Uversty Ntra,
More informationL5 Polynomial / Spline Curves
L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a
More informationA Robust Total Least Mean Square Algorithm For Nonlinear Adaptive Filter
A Robust otal east Mea Square Algorthm For Nolear Adaptve Flter Ruxua We School of Electroc ad Iformato Egeerg X'a Jaotog Uversty X'a 70049, P.R. Cha rxwe@chare.com Chogzhao Ha, azhe u School of Electroc
More information5 Short Proofs of Simplified Stirling s Approximation
5 Short Proofs of Smplfed Strlg s Approxmato Ofr Gorodetsky, drtymaths.wordpress.com Jue, 20 0 Itroducto Strlg s approxmato s the followg (somewhat surprsg) approxmato of the factoral,, usg elemetary fuctos:
More informationMultiple Linear Regression Analysis
LINEA EGESSION ANALYSIS MODULE III Lecture - 4 Multple Lear egresso Aalyss Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur Cofdece terval estmato The cofdece tervals multple
More informationAnalysis of Variance with Weibull Data
Aalyss of Varace wth Webull Data Lahaa Watthaacheewaul Abstract I statstcal data aalyss by aalyss of varace, the usual basc assumptos are that the model s addtve ad the errors are radomly, depedetly, ad
More informationComparing Different Estimators of three Parameters for Transmuted Weibull Distribution
Global Joural of Pure ad Appled Mathematcs. ISSN 0973-768 Volume 3, Number 9 (207), pp. 55-528 Research Ida Publcatos http://www.rpublcato.com Comparg Dfferet Estmators of three Parameters for Trasmuted
More informationResearch Article A New Derivation and Recursive Algorithm Based on Wronskian Matrix for Vandermonde Inverse Matrix
Mathematcal Problems Egeerg Volume 05 Artcle ID 94757 7 pages http://ddoorg/055/05/94757 Research Artcle A New Dervato ad Recursve Algorthm Based o Wroska Matr for Vadermode Iverse Matr Qu Zhou Xja Zhag
More informationANALYSIS ON THE NATURE OF THE BASIC EQUATIONS IN SYNERGETIC INTER-REPRESENTATION NETWORK
Far East Joural of Appled Mathematcs Volume, Number, 2008, Pages Ths paper s avalable ole at http://www.pphm.com 2008 Pushpa Publshg House ANALYSIS ON THE NATURE OF THE ASI EQUATIONS IN SYNERGETI INTER-REPRESENTATION
More informationLecture 8: Linear Regression
Lecture 8: Lear egresso May 4, GENOME 56, Sprg Goals Develop basc cocepts of lear regresso from a probablstc framework Estmatg parameters ad hypothess testg wth lear models Lear regresso Su I Lee, CSE
More informationConfidence Intervals for Double Exponential Distribution: A Simulation Approach
World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Physcal ad Mathematcal Sceces Vol:6, No:, 0 Cofdece Itervals for Double Expoetal Dstrbuto: A Smulato Approach M. Alrasheed * Iteratoal Scece
More informationEVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM
EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal
More informationESS Line Fitting
ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here
More informationd dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin
Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace
More informationThe Mathematical Appendix
The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.
More informationMultiple Choice Test. Chapter Adequacy of Models for Regression
Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to
More informationRELIABILITY OF THE IEC (1995) STANDARD FOR DETERMINING BREAKDOWN VOLTAGE OF ELECTROINSULATING OILS
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Seres A, OF THE ROMANIAN ACADEMY Volume 8, Number 3/2007, pp. 000 000 RELIABILITY OF THE IEC 6056 (995) STANDARD FOR DETERMINING BREAKDOWN VOLTAGE
More informationA Study of the Reproducibility of Measurements with HUR Leg Extension/Curl Research Line
HUR Techcal Report 000--9 verso.05 / Frak Borg (borgbros@ett.f) A Study of the Reproducblty of Measuremets wth HUR Leg Eteso/Curl Research Le A mportat property of measuremets s that the results should
More informationA Combination of Adaptive and Line Intercept Sampling Applicable in Agricultural and Environmental Studies
ISSN 1684-8403 Joural of Statstcs Volume 15, 008, pp. 44-53 Abstract A Combato of Adaptve ad Le Itercept Samplg Applcable Agrcultural ad Evrometal Studes Azmer Kha 1 A adaptve procedure s descrbed for
More informationADAPTIVE CLUSTER SAMPLING USING AUXILIARY VARIABLE
Joural o Mathematcs ad tatstcs 9 (3): 49-55, 03 I: 549-3644 03 cece Publcatos do:0.3844/jmssp.03.49.55 Publshed Ole 9 (3) 03 (http://www.thescpub.com/jmss.toc) ADAPTIVE CLUTER AMPLIG UIG AUXILIARY VARIABLE
More informationSome Notes on the Probability Space of Statistical Surveys
Metodološk zvezk, Vol. 7, No., 200, 7-2 ome Notes o the Probablty pace of tatstcal urveys George Petrakos Abstract Ths paper troduces a formal presetato of samplg process usg prcples ad cocepts from Probablty
More information13. Parametric and Non-Parametric Uncertainties, Radial Basis Functions and Neural Network Approximations
Lecture 7 3. Parametrc ad No-Parametrc Ucertates, Radal Bass Fuctos ad Neural Network Approxmatos he parameter estmato algorthms descrbed prevous sectos were based o the assumpto that the system ucertates
More informationLecture 2 - What are component and system reliability and how it can be improved?
Lecture 2 - What are compoet ad system relablty ad how t ca be mproved? Relablty s a measure of the qualty of the product over the log ru. The cocept of relablty s a exteded tme perod over whch the expected
More informationOverview of the weighting constants and the points where we evaluate the function for The Gaussian quadrature Project two
Overvew of the weghtg costats ad the pots where we evaluate the fucto for The Gaussa quadrature Project two By Ashraf Marzouk ChE 505 Fall 005 Departmet of Mechacal Egeerg Uversty of Teessee Koxvlle, TN
More informationX ε ) = 0, or equivalently, lim
Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece
More informationChapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II
CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh
More informationDynamic Analysis of Axially Beam on Visco - Elastic Foundation with Elastic Supports under Moving Load
Dyamc Aalyss of Axally Beam o Vsco - Elastc Foudato wth Elastc Supports uder Movg oad Saeed Mohammadzadeh, Seyed Al Mosayeb * Abstract: For dyamc aalyses of ralway track structures, the algorthm of soluto
More informationChapter 5. Curve fitting
Chapter 5 Curve ttg Assgmet please use ecell Gve the data elow use least squares regresso to t a a straght le a power equato c a saturato-growthrate equato ad d a paraola. Fd the r value ad justy whch
More informationFourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION
Malasa Joural of Mathematcal Sceces (): 95-05 (00) Fourth Order Four-Stage Dagoall Implct Ruge-Kutta Method for Lear Ordar Dfferetal Equatos Nur Izzat Che Jawas, Fudzah Ismal, Mohamed Sulema, 3 Azm Jaafar
More informationCarbonyl Groups. University of Chemical Technology, Beijing , PR China;
Electroc Supplemetary Materal (ESI) for Physcal Chemstry Chemcal Physcs Ths joural s The Ower Socetes 0 Supportg Iformato A Theoretcal Study of Structure-Solublty Correlatos of Carbo Doxde Polymers Cotag
More informationUnimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods
Malaysa Umodalty Joural Tests of Mathematcal for Global Optmzato Sceces (): of 05 Sgle - 5 Varable (007) Fuctos Usg Statstcal Methods Umodalty Tests for Global Optmzato of Sgle Varable Fuctos Usg Statstcal
More informationOn the convergence of derivatives of Bernstein approximation
O the covergece of dervatves of Berste approxmato Mchael S. Floater Abstract: By dfferetatg a remader formula of Stacu, we derve both a error boud ad a asymptotc formula for the dervatves of Berste approxmato.
More informationAnalysis of a Repairable (n-1)-out-of-n: G System with Failure and Repair Times Arbitrarily Distributed
Amerca Joural of Mathematcs ad Statstcs. ; (: -8 DOI:.593/j.ajms.. Aalyss of a Reparable (--out-of-: G System wth Falure ad Repar Tmes Arbtrarly Dstrbuted M. Gherda, M. Boushaba, Departmet of Mathematcs,
More informationVOL. 3, NO. 11, November 2013 ISSN ARPN Journal of Science and Technology All rights reserved.
VOL., NO., November 0 ISSN 5-77 ARPN Joural of Scece ad Techology 0-0. All rghts reserved. http://www.ejouralofscece.org Usg Square-Root Iverted Gamma Dstrbuto as Pror to Draw Iferece o the Raylegh Dstrbuto
More informationNP!= P. By Liu Ran. Table of Contents. The P vs. NP problem is a major unsolved problem in computer
NP!= P By Lu Ra Table of Cotets. Itroduce 2. Strategy 3. Prelmary theorem 4. Proof 5. Expla 6. Cocluso. Itroduce The P vs. NP problem s a major usolved problem computer scece. Iformally, t asks whether
More informationNP!= P. By Liu Ran. Table of Contents. The P versus NP problem is a major unsolved problem in computer
NP!= P By Lu Ra Table of Cotets. Itroduce 2. Prelmary theorem 3. Proof 4. Expla 5. Cocluso. Itroduce The P versus NP problem s a major usolved problem computer scece. Iformally, t asks whether a computer
More informationEvaluation of uncertainty in measurements
Evaluato of ucertaty measuremets Laboratory of Physcs I Faculty of Physcs Warsaw Uversty of Techology Warszawa, 05 Itroducto The am of the measuremet s to determe the measured value. Thus, the measuremet
More informationGeneralization of the Dissimilarity Measure of Fuzzy Sets
Iteratoal Mathematcal Forum 2 2007 o. 68 3395-3400 Geeralzato of the Dssmlarty Measure of Fuzzy Sets Faramarz Faghh Boformatcs Laboratory Naobotechology Research Ceter vesa Research Isttute CECR Tehra
More informationBias Correction in Estimation of the Population Correlation Coefficient
Kasetsart J. (Nat. Sc.) 47 : 453-459 (3) Bas Correcto Estmato of the opulato Correlato Coeffcet Juthaphor Ssomboothog ABSTRACT A estmator of the populato correlato coeffcet of two varables for a bvarate
More informationModified Method of Computing Generator Participation Factors by Electricity Tracing with Consideration of Load Flow Changes
WSEAS TRANSACTIONS o OWER SYSTEMS Mauscrpt receved Aug., 007; revsed Oct. 0, 007 Modfed Method of Computg Geerator artcpato Factors by Electrcty Tracg wth Cosderato of Load Flow Chages N.D.GHAWGHAWE Departmet
More information2C09 Design for seismic and climate changes
2C09 Desg for sesmc ad clmate chages Lecture 08: Sesmc aalyss of elastc MDOF systems Aurel Strata, Poltehca Uversty of Tmsoara 06/04/2017 Europea Erasmus Mudus Master Course Sustaable Costructos uder atural
More informationF. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties
進佳數學團隊 Dr. Herbert Lam 林康榮博士 HKAL Pure Mathematcs F. Ieualtes. Basc propertes Theorem Let a, b, c be real umbers. () If a b ad b c, the a c. () If a b ad c 0, the ac bc, but f a b ad c 0, the ac bc. Theorem
More informationUniform asymptotical stability of almost periodic solution of a discrete multispecies Lotka-Volterra competition system
Iteratoal Joural of Egeerg ad Advaced Research Techology (IJEART) ISSN: 2454-9290, Volume-2, Issue-1, Jauary 2016 Uform asymptotcal stablty of almost perodc soluto of a dscrete multspeces Lotka-Volterra
More information1 Edge Magic Labeling for Special Class of Graphs
S.Srram et. al. / Iteratoal Joural of Moder Sceces ad Egeerg Techology (IJMSET) ISSN 349-3755; Avalable at https://www.jmset.com Volume, Issue 0, 05, pp.60-67 Edge Magc Labelg for Specal Class of Graphs
More informationNumerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract
Numercal Smulatos of the Complex Moded Korteweg-de Vres Equato Thab R. Taha Computer Scece Departmet The Uversty of Georga Athes, GA 002 USA Tel 0-542-2911 e-mal thab@cs.uga.edu Abstract I ths paper mplemetatos
More informationRanking Bank Branches with Interval Data By IAHP and TOPSIS
Rag Ba Braches wth terval Data By HP ad TPSS Tayebeh Rezaetazaa Departmet of Mathematcs, slamc zad Uversty, Badar bbas Brach, Badar bbas, ra Mahaz Barhordarahmad Departmet of Mathematcs, slamc zad Uversty,
More informationECONOMETRIC THEORY. MODULE VIII Lecture - 26 Heteroskedasticity
ECONOMETRIC THEORY MODULE VIII Lecture - 6 Heteroskedastcty Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur . Breusch Paga test Ths test ca be appled whe the replcated data
More informationMultivariate Transformation of Variables and Maximum Likelihood Estimation
Marquette Uversty Multvarate Trasformato of Varables ad Maxmum Lkelhood Estmato Dael B. Rowe, Ph.D. Assocate Professor Departmet of Mathematcs, Statstcs, ad Computer Scece Copyrght 03 by Marquette Uversty
More informationOn Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros
It. Joural of Math. Aalyss, Vol. 7, 2013, o. 20, 983-988 HIKARI Ltd, www.m-hkar.com O Modfed Iterval Symmetrc Sgle-Step Procedure ISS2-5D for the Smultaeous Icluso of Polyomal Zeros 1 Nora Jamalud, 1 Masor
More informationPTAS for Bin-Packing
CS 663: Patter Matchg Algorthms Scrbe: Che Jag /9/00. Itroducto PTAS for B-Packg The B-Packg problem s NP-hard. If we use approxmato algorthms, the B-Packg problem could be solved polyomal tme. For example,
More informationOn the Interval Zoro Symmetric Single Step. Procedure IZSS1-5D for the Simultaneous. Bounding of Real Polynomial Zeros
It. Joural of Math. Aalyss, Vol. 7, 2013, o. 59, 2947-2951 HIKARI Ltd, www.m-hkar.com http://dx.do.org/10.12988/ma.2013.310259 O the Iterval Zoro Symmetrc Sgle Step Procedure IZSS1-5D for the Smultaeous
More informationABOUT ONE APPROACH TO APPROXIMATION OF CONTINUOUS FUNCTION BY THREE-LAYERED NEURAL NETWORK
ABOUT ONE APPROACH TO APPROXIMATION OF CONTINUOUS FUNCTION BY THREE-LAYERED NEURAL NETWORK Ram Rzayev Cyberetc Isttute of the Natoal Scece Academy of Azerbaa Republc ramrza@yahoo.com Aygu Alasgarova Khazar
More informationCHAPTER VI Statistical Analysis of Experimental Data
Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca
More informationSummary of the lecture in Biostatistics
Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the
More informationNumerical Solution of Linear Second Order Ordinary Differential Equations with Mixed Boundary Conditions by Galerkin Method
Mathematcs ad Computer Scece 7; (5: 66-78 http://www.scecepublshggroup.com//mcs do:.648/.mcs.75. Numercal Soluto of Lear Secod Order Ordary Dfferetal Equatos wth Mxed Boudary Codtos by Galer Method Aalu
More informationBAYESIAN INFERENCES FOR TWO PARAMETER WEIBULL DISTRIBUTION
Iteratoal Joural of Mathematcs ad Statstcs Studes Vol.4, No.3, pp.5-39, Jue 06 Publshed by Europea Cetre for Research Trag ad Developmet UK (www.eajourals.org BAYESIAN INFERENCES FOR TWO PARAMETER WEIBULL
More informationECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013
ECE 595, Secto 0 Numercal Smulatos Lecture 9: FEM for Electroc Trasport Prof. Peter Bermel February, 03 Outle Recap from Wedesday Physcs-based devce modelg Electroc trasport theory FEM electroc trasport
More informationChapter 5 Properties of a Random Sample
Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample
More informationEECE 301 Signals & Systems
EECE 01 Sgals & Systems Prof. Mark Fowler Note Set #9 Computg D-T Covoluto Readg Assgmet: Secto. of Kame ad Heck 1/ Course Flow Dagram The arrows here show coceptual flow betwee deas. Note the parallel
More informationAssignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class)
Assgmet 5/MATH 7/Wter 00 Due: Frday, February 9 class (!) (aswers wll be posted rght after class) As usual, there are peces of text, before the questos [], [], themselves. Recall: For the quadratc form
More informationMEASURES OF DISPERSION
MEASURES OF DISPERSION Measure of Cetral Tedecy: Measures of Cetral Tedecy ad Dsperso ) Mathematcal Average: a) Arthmetc mea (A.M.) b) Geometrc mea (G.M.) c) Harmoc mea (H.M.) ) Averages of Posto: a) Meda
More informationBounds for the Connective Eccentric Index
It. J. Cotemp. Math. Sceces, Vol. 7, 0, o. 44, 6-66 Bouds for the Coectve Eccetrc Idex Nlaja De Departmet of Basc Scece, Humates ad Socal Scece (Mathematcs Calcutta Isttute of Egeerg ad Maagemet Kolkata,
More informationLecture 07: Poles and Zeros
Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto
More informationMu Sequences/Series Solutions National Convention 2014
Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed
More informationBayesian Inferences for Two Parameter Weibull Distribution Kipkoech W. Cheruiyot 1, Abel Ouko 2, Emily Kirimi 3
IOSR Joural of Mathematcs IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume, Issue Ver. II Ja - Feb. 05, PP 4- www.osrjourals.org Bayesa Ifereces for Two Parameter Webull Dstrbuto Kpkoech W. Cheruyot, Abel
More informationNewton s Power Flow algorithm
Power Egeerg - Egll Beedt Hresso ewto s Power Flow algorthm Power Egeerg - Egll Beedt Hresso The ewto s Method of Power Flow 2 Calculatos. For the referece bus #, we set : V = p.u. ad δ = 0 For all other
More informationCH E 374 Computational Methods in Engineering Fall 2007
CH E 7 Computatoal Methods Egeerg Fall 007 Sample Soluto 5. The data o the varato of the rato of stagato pressure to statc pressure (r ) wth Mach umber ( M ) for the flow through a duct are as follows:
More informationSTA302/1001-Fall 2008 Midterm Test October 21, 2008
STA3/-Fall 8 Mdterm Test October, 8 Last Name: Frst Name: Studet Number: Erolled (Crcle oe) STA3 STA INSTRUCTIONS Tme allowed: hour 45 mutes Ads allowed: A o-programmable calculator A table of values from
More information1 0, x? x x. 1 Root finding. 1.1 Introduction. Solve[x^2-1 0,x] {{x -1},{x 1}} Plot[x^2-1,{x,-2,2}] 3
Adrew Powuk - http://www.powuk.com- Math 49 (Numercal Aalyss) Root fdg. Itroducto f ( ),?,? Solve[^-,] {{-},{}} Plot[^-,{,-,}] Cubc equato https://e.wkpeda.org/wk/cubc_fucto Quartc equato https://e.wkpeda.org/wk/quartc_fucto
More informationChapter 11 Systematic Sampling
Chapter stematc amplg The sstematc samplg techue s operatoall more coveet tha the smple radom samplg. It also esures at the same tme that each ut has eual probablt of cluso the sample. I ths method of
More informationNon-uniform Turán-type problems
Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at
More information