Per-unitization and Equivalent Circuits

Size: px
Start display at page:

Download "Per-unitization and Equivalent Circuits"

Transcription

1 Pe-untzton n Eulent Ccuts 1. Nomlzton of oltge eutons We ese to nomlze the oltge eutons, tht s, we ese to expess them n pe-unt. The ntges of ong so e: The pe-unt system offes computtonl smplcty by elmntng unts n expessng system unttes s mensonless tos. t elmntes the nee fo usng bty constnts n smplfes some of the mthemtcl expessons so tht they my be expesse n tems of eulent ccuts. The numecl lues of cuents n oltges e elte to the te lues especte of mchne sze. mpences, when gen on the mchne bse, le on eltely now nge so tht eos cn be esly etecte. Thee e seel ffeent possble nomlzton schemes. Wht Aneson n ou (A&) he one (see Appenx C n text) s to cefully compe the mets of ll of these schemes. n ong so, they eelope some cte, guelnes, the most mpotnt of whch s tht the eutons must be nepenent of whethe they e n pu o KS fo both the oltge eutons s well s the powe expesson (powe nnce). Note tht mchne mnufctues, when expessng the mchne t n pe unt, my use ffeent system tht oes not stsfy the powe nnce popety - they use P s ognl tnsfomton (clle n A&, e. (4.), nste of ou P ). The choce me by A& stsfes the boe cte; n ton, the A& choce ensues tht the numecl lues of the pe-unt mpences e the sme s those poe by mnufctues usng the system of nomlzton. 1

2 n most unegute powe system nlyses couses, we len tht peuntzton eues selecton of two bse unttes out of the followng fou:,, Z, n S, n then the bse unttes fo the othe two e compute. The stuton s the sme hee, except tht we lso must el wth spee (o feuency). Ths necessttes tht we must lso select bse fo ethe feuency ( o f) o tme, t. n ton, we wll lso he nee to compute bse unttes ssocte wth flux lnge () n nuctnce ( o ). Ou ppoch wll be to obtn the bses fo the stto se n then the bses fo the oto se. One my note two excellent efeences on the subject of pe-untzng synchonous mchne moels: 1. A. nn, Pe-unt mpence of synchonous mchnes, AEE Tnsctons, 64, Aug., Hs, P. wenson, n J. Stephenson, Pe-unt systems wth specl efeence to electcl mchnes, Cmbge Unesty pess, Cmbge, Engln, 197. Othe efeences tht ess ths subject, beses A&, nclue those by - Sue n P - Conco - Py - Kunu n lso couse notes fom e ello. 1.1 Stto se pe-untzton: We select ou stto-se bses s: : the stto te lne-neutl oltge, ms. S : the stto te pe-phse powe, olt-mps : the geneto te spee, n electcl /sec (= e =77)

3 Then we my compute bses fo the followng 5 unttes: cuent: mpence: tme: t S X 1 Z S (Note we coul he use t but ths woul smply poe ffeent sclng n s theefoe bty). Note tht ou choce of t s the tme eue fo the oto to moe one electcl n. lux lnge: t (Ths comes fom the fct tht t ) t t = = X ω ω nuctnce: = λ = t X t ueston: How oes ou choce of stto bse unttes ffect the pe-unt lues of the - n -xs unttes? Note: lthough - n -xs unttes ssocte wth fcttous oto wnngs, we ew them to be stto unttes. To nswe ths ueston, let n be the ms mgntues of the -phse lne-neutl oltge n -phse lne cuent, espectely. Then the pe-unt phsos e u u u u Now let s nestgte the unttes.

4 4 To begn, note tht the expessons fo nstntneous oltges n cuents fo ech phse e: ) 1 sn( ) 1 sn( ) sn( c b ) 1 sn( ) 1 sn( ) sn( c b Use the P s tnsfomton on the boe to obtn: cos sn cos sn (Ths confms ou concluson t the en of the lst set of notes, mchets, tht, fo blnce contons, the unttes e constnts,.e., C.) Now, pe-untze by ng by n : cos sn cos sn u u u cos sn cos sn u u u Obsee bout the boe tht 1. The pe-unt n oltges e eul to the pe-unt -phse oltge scle by sn n cos, espectely.. The pe-unt n cuents e eul to the pe-unt lne cuent scle by sn n cos, espectely.

5 1. oto-se pe-untzton: ecll tht n system pe-untzton, we must select sngle powe bse fo the ente system, nepenent of the fct tht some sectons of the system e mgnetclly couple though tnsfomes,.e., we o NOT choose ffeent powe bses fo ffeent ses of tnsfome. The sme estcton pples hee, whee the oto ccut s mgnetclly couple to the stto ccut,.e., the powe bse selecte fo the stto se must lso be the powe bse use on the oto se. Ths s S. n ton, we e eue to select the sme tme (o feuency) bse fo both the stto se n the oto se. Ths s t (o ). On the oto se, we he 1 bse left to choose. o tnsfomes, we typclly choose the 1 emnng bse s the oltge bse (o cuent bse) ccong to the tuns to. Hee, howee, we o not now tuns to, n theefoe we e left wth poblem of wht, n how, to choose. (One text tets the poblem une the ssumpton tht tuns to s nown between stto n oto ccuts - see the text by Py, Powe System ynmcs, pp ) n mng ths choce, poblem esults fom the fct tht stto powe leels e typclly seel tmes the oto powe leels. A& ge n nteestng compson (see pg 95) of typcl stto-se pe-phse powe tng of 1 A n fel wnng tngs of 5, 1A (5w). Wht e ou choces of the one emnng oto-se bse untty n ths cse? Choose oltge bse=te oltge=5, but then the cuent bse s =1E6/5=4 mps, n pe-unt lues of fel cuents wll be ey smll. Choose cuent bse=te cuent=1a, but then oltge bse s =1E6/1=1 olts, n pe-unt lues of fel oltges wll be ey smll. 5

6 Anlogy to tnsfomes: Wth tnsfomes, we choose the bse oltge (o cuent) on se 1, n then we choose the bse oltge (o cuent) on se s tht oltge pouce by the tnsfome on se when the bse oltge on se 1 s pple. We ths becuse we wnte pe-unt ccut of the tnsfome whee the el tnsfome ws elmnte. Anothe wy to thn bout wht we o wth tnsfomes s tht we select cuent bses tht woul pouce the sme mutul flux between the two wnngs,.e., we choose 1 n such tht: 1 pouces 1 (the flux lnge fom cuent 1 n col 1 tht lns col ), pouces 1 (the flux lnge fom cuent n col tht lns col 1) n 1 = 1. Ths s bse on the fct tht 1 = 1 1 n 1 = 1, whee 1 = 1 = s the mutul nuctnce between the two tnsfome cols. f col 1 cetes 1, n of ths, only the mutul flux 1 lns wth col, then the ffeence s the lege flux gen by 1 = 1-1 (e. 1) n llustte n g. 1. ege flux, 1 utul flux, 1 1 g. 1: utul n ege flux Hee, ech of these thee fluxes e gen by 1 =l 1 1, 1 = 1 1, n 1 = 1 (e. ) whee l 1, 1, n, e the lege, self, n mutul nuctnces, espectely. Substtuton of () nto (1) esults n: l 1 1 =

7 n cncelng 1 ges: l 1 = 1-1 =l 1 + whch mples tht the self nuctnce s compse of the lege nuctnce plus the mutul nuctnce. Sml nlyss esults n =l +. c to synchonous mchnes: We cn pply the sme concept to the synchonous mchne s we pple to the tnsfome boe. Tht s, We select the bse cuents fo the fou oto-se wnngs, (, ) to pouce the sme mutul flux n the gp s pouce by the stto-se bse cuent flowng n the coesponng fcttous -xs (-xs) col. We wll begn by pplyng ths e to obtn the bse cuent fo the mn fel wnng. The eson ths s benefcl s tht t wll enble us to eelop eltely smple ccut to epesent ectxs pu unttes n nothe one to epesent utue xs pu unttes. The fom of ths cct wll be tee. (see Pe App C, top of p. 549) n pg. 4 of these notes. se-cuent fo mn fel wnng, ppoch 1: One cn sulze the boe concept fo the cse of the eltonshp between the -wnng n the -wnng, n g.. -wnng -wnng m g. : se cuents n n wnngs We see fom g. tht we select, the fel wnng bse cuent, s 7

8 8 tht cuent when flowng n the -wnng wll pouce mutul flux m eul to the sme mutul flux tht s pouce by cuent flowng n the -wnng. ut how o we compute? om ou peous set of notes (p. 8, mchets ), n lso e. 4. n text, we ee e. (4. ) om ths, we cn see tht (e. ) whee =(/). s ll of the flux pouce by the -wnng, but only pt of ths flux, the mutul flux, lns wth the -wnng. Cll ths flux fom the -wnng tht lns wth the -wnng m, gen by m = m, whee m s the mutul nuctnce ssocte wth ths flux (A& cll t mgnetzng nuctnce).

9 As wth the cse of the tnsfome, the ffeence between the totl flux fom the -wnng n the mutul flux s ttbute to the lege flux, so tht, l = - m (e. 4) Cncelng the cuent, we see tht l = - m =l + m (e. 5) When flows n the -wnng, so tht =, the mutul flux s gen by m = m (e. 6) oong bc t e (), we see tht the flux fom the -wnng tht lns the -xs wnng s just. Ou cte fo selectng sys tht when flows n the -wnng, the mutul flux lnng the -wnng shoul eul the mutul flux fom the - wnng lnng the -wnng when t ces. Thus, we wte tht m = m = (e. 7) An we see tht (e. 8) m n m e genelly poe n (o cn be obtne fom) mnufctue s t fo gen mchne 1. cn be compute s llustte n Exmple 4.1 (whch we eew below), usng the mgnetzton cue, m = -l, whee mnufctue s t sheets contn n l. Theefoe, once s selecte, my be compute. se cuent fo mn fel wnng, ppoch : One my lso eelop elton fo fom the pespecte of the flux lnng the fel wnng,.e., nste of usng e. () fom (4. ), use: (e. 9) Sml to e. (5), the self nuctnce s compse of the lege n the mutul,.e., 1 Note: n KS unts (.e., henes), m s not the sme s,.e., the ecpocl mutuls e not eul. 9

10 =l f + m (e. 1) nspectng e. (9), we see tht the flux fom the -wnng lnng wth the -wnng s, so tht when = n =, we he tht m = (e. 11) n we see tht (e. 1) m whee, s befoe, s obtne pe Exmple 4.1 below, m = -l, n, l e obtne fom mnufctue s t sheet. se cuent fo -wnng: We select the -wnng bse cuent, ccong to the followng cte: We select, the -wnng bse cuent, s tht cuent when flowng n the -wnng wll pouce mutul flux m eul to the sme mutul flux tht s pouce by cuent flowng n the - wnng. Sml nlyss s fo the -wnng esults n (e. 1) m, m We my lso utlze sml poceue between n wnngs to obtn m (e. 14) se cuent fo -wnng: We select -wnng bse cuent, ccong to the followng cte: We select, the -wnng bse cuent, s tht cuent when flowng n the -wnng wll pouce mutul flux m eul to the sme mutul flux tht s pouce by cuent flowng n the - wnng. 1

11 Sml nlyss s fo the -wnng esults n, (e. 15) m m se cuent fo -wnng: We select the -wnng bse cuent, ccong to the followng cte: We select, -wnng bse cuent, s tht cuent when flowng n the -wnng wll pouce mutul flux m eul to the sme mutul flux tht s pouce by cuent flowng n the -wnng. Sml nlyss s fo the -wnng esults n m, (e. 16) m We my lso utlze sml poceue between n wnngs to obtn (e. 17) m Summy: Et. (8) togethe wth ets. (1-17) poe the blty to eelop ny of the eutons gen s (4.54) n the text. These eutons e efee to s the funmentl constnts mong bse cuents n e gen by: m m m m m o exmple, ecllng (8) s m n (1) s, we m cn multply the left-hn-ses togethe n the ght-hn-ses togethe to m obtn: m m. m Now efne the followng fctos: 11

12 ,,, ecuse we he the sme powe bse on ll stto n oto ccuts, we obtn: S Then,,, Note tht these -fctos my be consee to be effecte tuns tos. We my lso ee expessons fo the esstnce n nuctnce bses. Note ou ese s to be ble to compute oto-se bses s functon of stto-se bses. The -fctos gen boe wll be ey hny hee. oto-se esstnce bses: ewse, oto-se nuctnce bses:,, ewse, t t,, 1

13 oto-stto mutuls: ou text, pg. 95 efes to HW poblem 4.18 whch sttes tht bse mutuls must be the geometc men of the bse self-nuctnces,.e., 1 1 Thus, we he tht the bse fo the fel wnng to stto wnng mutul tems s gen by (see e n text): Note tht t s not the sme s the bse self nuctnce gen boe. ewse, we get (see e n text, except hee we nclue ):, oto-oto mutuls: Thee e just of them (see e n text, except hee we nclue ): ewse,. Exmple 4.1, pg 97 of text Ths s goo exmple tht you shoul eew cefully. Hee s the fst pt of t (p. 98 contnues wth t)., 1

14 Why e some lues estmte fo cemc stuy? Note ths sttement; Wht s gp lne? Note the use of pe phse oltge. The only thng tht s pehps not too cle s the computton of. wll just eew tht pt of t hee. Computton of : A& me the sttement, om the no-lo mgnetzton cue, the lue of fel cuent coesponng to the te oltge on the -gp lne s 65 A. The open-ccut chctestc o mgnetzton cue plots Somethng popotonl to exctng (fel) cuent on hozontl xs Somethng popotonl to the flux on the etcl xs. une open-ccut contons (the -phse wnng s open). gue below llusttes. 14

15 φ λ A-gp lne ue to stuton of the on ( ecese n pemeblty o ncese n eluctnce) fo hgh =N H=/l g. The -gp lne s the s. elton tht esults f the on hs constnt pemeblty. The sol lne tht bens to the ght s the ctul chctestc tht occus, whch shows tht temnl oltge flls wy fom the -gp lne s the fel cuent s se beyon cetn pont. Ths fllng wy s cuse by stuton of the feomgnetc mtel, esultng fom the ecese n pemeblty une hgh flux contons. gue 4 llusttes mgnetzton cue fo el 1.8 synchonous mchne. The etcl xs s lne-to-lne oltge. 15

16 Ths synch gen s septely excte, n so ts fel cuent f (hee esgnte s oto mps ) s supple fom the mtue of septe C gen. The septe C gen hs fel cuent Cgen (on C gen stto) whch cetes fel flux ϕ. The cuent f, whch s the mtue cuent of the C gen n the fel cuent of the synch gen, nceses wth C gen mtue oltge E, n E =ωϕ, whee ϕ nceses wth Cgen. An so f n Cgen e both nctos of synch gen fel stength. Cgen E f el wnng + - The two mgnetzton cues to the left plot lne-to-lne open cct oltge of the synch gen gnst () Cgen n (b) f. g. 4 Wht s one n Ex. 4.1 (n wht s ctully one n nusty to obtn ), s tht the fel cuent s etemne coesponng to stey-stte te open ccut temnl oltge. Ths oltge s = -te /st(). o Ex. 4.1, ths s =15/st()=866 olts. Ths s the ms oltge, but A& ncte tht we nee the coesponng pe oltge: pe = (866)=1,47.1 olts. ut why o we nee the pe oltge? et s conse ths ueston. 16

17 om fst pge of peous notes ttle chne Eutons, o fom e. (4.11 ) n A&, we he b b c c ut = b = c = une open ccut contons. An mpe cuents = = une stey-stte contons. Theefoe ecll tht the g-wnng moels the -xs flux pouce by the eycuent effects n the oto ung the tnsent peo. ut we e now conseng only the stey-stte conton, =. Theefoe (*) Now ecll fom fst pge of peous notes ttle mchets, o fom e. (4.16 ) n A&, tht = cosθ, n substtuton nto (*) yels cos (**) ffeenttng (**) esults n t sn e t Now ecll the oltge euton fo the -phse: Substtutng (***) nto (#), we obtn n sn (***) (#) e sn ut une open ccut contons, =, n = (mplyng n =) n we he om (#*), we see tht pe e sn (#*) So we choose pont off the mgnetzton cue, fo exmple, A& choose =65A, pe =1,47.1olts (65A s the lue of fel cuent e n pe e 17

18 coesponng to the te oltge on the -gp lne, n 1,47.1/st()=866olts s the te S lne-to-neutl oltge (coesponng to 866st()=15). Then pe e An fom ths we cn compute 1, (65)(77) m l henes whee the enomnto s compse of t poe by the mnufctue. The est of Ex. 4.1 s just n pplcton of ou pe-untzton fomul. Thee s n nteestng pgph n Appenx C, pg. 55 of you text, to whch wnt to w you ttenton. t sys, Note tht ey element n etemnng the fcto, n hence ll the oto bse unttes, s the lue of (n H). Ths s obtne fom the gp lne of the mgnetzton cue poe by the mnufctue. Unfotuntely, no such t s gen fo ny of the motsseu ccuts. Thus, whle the pu lues of the ous motsseu elements cn be etemne, the coesponng KS t e not nown. poe some comments on cetn sentences n ths pgph: Note tht ey element n etemnng the fcto, n hence ll the oto bse unttes, efes to the fct tht we obtn n fom: Ths s obtne fom the gp lne of the mgnetzton cue poe by the mnufctue, s we he seen boe by usng pe e 18

19 We e ble to get n ths wy becuse we cn ectly contol the cuent, wth no othe ccuts enegze (s esult of the open-ccut, stey-stte contons), n ectly mesue the nuce oltge t the -phse temnls. Unfotuntely, no such t s gen fo ny of the motsseu ccuts. t s not possble to ectly contol the cuents,, n, snce the coesponng ccuts o not he souces. The only wy to enegze these ccuts s tnsent conton, but thee s no wy to poe tnsent conton tht wll lso not enegze othe ccuts, whch woul esult n the mesue temnl oltge beng nuce fom the mutul nuctnce between tself n the othe ccuts s well. Thus, whle the pu lues of the ous motsseu elements cn be etemne, the coesponng KS t e not nown. n exmple 4.1, the text puts n stes by some of the pmetes (,,,,, n ), nctng they wee estmte fo cemc stuy ). Ths s becuse mnufctue s tsheets o not lwys nclue the pmetes fo the motsseu (n g-wnng) ccuts, smply becuse they e h to mesue (bse on the comments of the peous bullet). Howee, t s possble to obtn the pe-unt lue (not the KS lue) of some of the motsseu ccut pmetes (specfclly, the mutul nuctnces), becuse, s we shll see n Secton. below, n pe-unt, ll ect-xs mutuls e eul n ll utue-xs mutuls e eul! n othe wos: -xs mutuls: - wnng mutul, - wnng mutul, - wnng mutul, (s clle X n some texts) Tht s, we wll show tht n pe-unt, -xs mutuls: - wnng mutul, - wnng mutul, - wnng mutul, Tht s, we wll show tht n pe-unt, u u u u u u 19

20 .4 Applyng the bses to oltge eutons: ecll ou oltge euton s wtten n KS unts: n c b n et s nomlze them usng ou chosen bses to obtn the eutons n peunt. The pe-unt eutons shoul ppe s boe when one, except tht eeythng must be n pe-unt. Step 1: eplce ll KS oltges on the left wth the pouct of the pe-unt lue n the bse lue (use fo the fst eutons n,,, fo the lst fou eutons), n eplce ll cuents on the ght wth the pouct of the pe-unt lue n the bse lue (use fo the fst eutons n,,, fo the lst fou eutons). Ths esults n elton sml to e. 4.6 n the text, s follows.

21 1 u u u u u u u n u u u u u u u c b n u u u u (e. 4.6 ) Step: o ech of the eutons n the boe, we nee to e though by the oltge bse. o those eutons contnng, we eplce t wth = u ( = e ). Then we o some lgeb on ech euton to expess the coeffcents of ech cuent n cuent ete s pe-untze self o mutul nuctnces. As n exmple, the secon euton s one fo you n the text; hee, wll o the lst euton, coesponng to the -wnng. u u u u ) ( Step : e though by to obtn:

22 u u u The fst tem hs enomnto of. The lst thee tems e not so obous. We ese them to he enomntos of,, n, espectely, whee, fom boe, we ecll, u,, whee, n. Step b: et s multply the enomnto of the lst thee tems by /. Ths esults n: u u u Step c: et s multply the enomnto of the lst two tems by /. Ths esults n: u u u u u Step : ecll the -fctos (pg 96 of text): Substtuton yels: u u u, n u. Step e: We e close now, s we nee =, =, n =( ), espectely, on the enomnto of the lst thee tems. ecll

23 tht = /( ), so we nee to e top n bottom on the enomntos of the lst thee tems by. ong so yels: u u u Step f: An substtutng n esults n: u u u u u Step g: ecllng tht =, =, n =( ), we my wte: u whch esults n u u u u u u u u u u u Step h: Howee, we stll he one poblem. ecll tht we wnt the eutons to be entcl n pu to the fom n KS unts. ut n the lst euton, we stll he, whch oes not ppe n ou KS euton. We cn te ce of t, howee, by ecllng tht =1/t, so tht:

24 1 1 1 u u u 1 1 t 1 1 t 1 1 t t u u t t u u t t u t t u t t u ; u ; u whee =t/t s the nomlze tme. Wth ths lst chnge, we cn wte, fnlly, tht u u u whch s the pe-untze fom of the lst euton n e. (4.6 ). Note tht t s exctly the sme fom s the ognl euton n KS unts. Sml wo cn be one fo the othe eutons (n you shoul ty to o one of the othes youself), esultng n eutons sml to e n you text: u u u u 4

25 5 (e ) Note tht n the boe euton, The u subscpt ws oppe; howee, ll pmetes e n pe-unt. We he oppe the zeo-seuence oltge euton snce we wll be nteeste n blnce contons fo stblty stues. (A system hng thee-phse fult, consee to be, usully, the most seee, s stll blnce system. Ths oes not men tht we cnnot nlyze unblnce fults usng stblty pogms. t s possble to nlyze the effects of unblnce fults on the poste seuence netwo epesente n stblty pogms see Kmb ol, pp. -1). Othewse, e. (4.74 ) s pecsely the sme s et. 4.9 n you text (see the sme euton s 4.9, except fo the wnng nclue, n the notes clle mchets we clle t thee, e. 4.9 ).

26 The eutons e enge to bette sply the couplng n ecouplng between the ous ccuts. Ths couplng cn be well llustte by fgue sml to g. 4. n you text, gen below s g. 4.. Notce tht the couplng between the n wnngs s cptue by X. We he clle ths mutul nuctnce n ou wo boe to emn consstent wth A&. These e physclly-elzble ccuts fo whch K n ech of the 6 ccuts esults n the 6 eutons of 4.74 boe. + n + n + - = X ot conenton:. f the efeence cuent ecton entes the otte temnl of col, the efeence polty of the oltge tht t nuces n the othe col s poste t ts otte temnl. b. f the efeence cuent ecton lees the otte temnl of col, the efeence polty of the oltge tht t nuces n the othe col s negte t ts otte temnl. = = g 4. 6

27 7 Now let s me some efntons: ; N ; Wth these efntons, we ewte et. (4.74 ) n compct notton: N ) ( (e. 4.75) We my sole e. (4.75) fo /t so tht t s n stte-spce fom: N 1 1 ) ( (e. 4.76)

28 . Pe-unt mutuls (See Secton 4.11) A useful obseton egng pe-unt lues of,, n : ecll ou efntons of the -xs -fctos: n tht we eelope (see es. 4.54, pg 11 of these notes): m m m (18) om the fst n fouth expesson n e (18), we he: m Thus, (19) ewse, fom the fst n ffth, n fom the fouth n sxth expessons n e (18), we he: m Thus, n m m om the efntons of the -fctos, n es (19) n (), we he: n m () (1) m An fom e n text (lso see p1 of these notes), we fn 8

29 9,, () whch we obtne by usng the fct tht bse mutuls must be the geometc men of the bse self-nuctnces (see pob 4.18). Now, ecll the elements n the pe-untze oltge eutons s gen by e (see pge 4 of these notes) n ptcul, conse the mutul tems n the lst mtx fo the ect xs. Ths s the uppe left-hn x bloc, n the blue box. These tems, n pu, e by efnton the to of the tem n KS to the ppopte bse. Theefoe: Stto-fel mutul: u. Substtutng fo fom e. () n then fom e. (1) esults n:

30 u u Stto--wnng mpe mutul: m m u. mu Substtutng fo fom e. () n then fom e. (1) esults n: u el--wnng mpe mutul: m u m mu Substtutng fo fom e. () n then n fom e. (1) (usng the n expesson fo n e. (4)) esults n: m mpotnt fct: n pe-unt, ll -xs mutuls e numeclly eul! We wll efne new tem fo them, A, s the pe-unt lue of ny -xs mutul nuctnce, so tht: A mu u u u Also note tht, snce the mutul s the ffeence between the self n the lege, ths mples u -l u = u -l u = u -l u = A The boe eltons e gen n es n 4.18 n you text. We cn go though sml pocess fo the -xs mutuls (fom 4.74, we see tht these e the tems n the lowe ght-hn bloc of the mtx,,, n ). wll lee ths fo you to o. The esult s: m mu

31 1 u u u mu A u -l u = u -l u = u -l u = A The boe eltons e gen by e n you text, except fo the ton of the -tem n the -tem. A n A e ey mpotnt fo wng the eulent ccuts. They e lso mpotnt n elng wth stuton becuse they poe fo the efnton of the pe-unt mutul flux (we wll see ths n ou eelopment of the flux-lnge stte-spce moel). 4. Eulent Ccuts (See Secton 4.11) et s etun to the oltge eutons tht we h befoe we fole n the spee oltge tems. They wee: n n c b Assume ll of the boe s n pe-unt (but we he oppe the u- subscpt).

32 Thee s some ntge to e-wtng these eutons n tems of A n A. o exmple, conse the -xs euton. t s: ecll tht = m +l m = -l et s mofy the -xs oltge euton by ng n subtctng l ( /t) : l l, whch cn be wtten s: l l ] ) [( The ntge to ths s tht, n pe-unt, we ecll tht -l = = A. Theefoe, A l ] [ et s epet ths fo the -xs euton, whch s, fom the mtx euton t the begnnng of ths secton: et s mofy the -wnng oltge euton by ng n subtctng l ( /t): l l whch cn be wtten s: l l ) ( The ntge to ths s tht, n pu, we he -l = = A. Theefoe ) ( A l

33 epetng ths poceue fo the,, n eutons, n then summzng, we obtn: -xs eltons: l [ ] l A [ ] [ ] A l A -xs eltons: l ( ) A l A ( ) l ( ) A We ese to w ccuts tht e chcteze by these eutons. Note: The -xs eltons e couple though the A tems. Ths tem, fo ech euton, my be epesente by sngle cente bnch. The othe tems, fo ech euton, my be epesente s sngle bnches whch fee the cente bnch. Ths esults n the ccut of g 4.5 n you text. Sml esonng esults n the ccut of g. 4.6 n you text. We ew these ccuts below.

34 l [ ] A l A[ ] l [ ] A l l l A ect-xs eulent ccut: The boe s the sme s g. 4.5 n you text l ( ) A l A ( ) l ( ) A l l l A utue-xs eulent ccut: The boe s the sme s g. 4.6 n you text, except we he nclue the -ccut 4

35 The blty to w these ccuts s ect esult of the A n A eltons tht occu only n pe-unt. Theefoe, t s mpotnt to be n the pe-unt system when utlzng these ccuts. An the eul mutuls effect cme s esult of the fct tht we chose ou bse cuents ccong to the followng cte (see p. 7 of these notes): We select the bse cuents fo the fou oto-se wnngs, (, ) to pouce the sme mutul flux n the gp s pouce by the stto-se bse cuent flowng n the coesponng fcttous -xs (-xs) col. See Appenx C of you text, t the top of p. 549, fo tculton of ths fct. These eulent ccuts e useful fo: emembeng the oltge eltons. nng physcl unestnng of eltons between unttes. eng the ltetue, whee you wll see them often. 5

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

Uniform Circular Motion

Uniform Circular Motion Unfom Ccul Moton Unfom ccul Moton An object mong t constnt sped n ccle The ntude of the eloct emns constnt The decton of the eloct chnges contnuousl!!!! Snce cceleton s te of chnge of eloct:!! Δ Δt The

More information

Absolutely no collaboration allowed in any form

Absolutely no collaboration allowed in any form Toy Fnl Exm poste toy, ue n one week Tke home, open notes exm Absolutely no collboton llowe n ny fom Instuctos wll not nswe ny uestons elte to exm solutons o soluton ppoches Questons fo clfcton shoul be

More information

Rigid Body Dynamics. CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Winter 2018

Rigid Body Dynamics. CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Winter 2018 Rg Bo Dnmcs CSE169: Compute Anmton nstucto: Steve Roteneg UCSD, Wnte 2018 Coss Pouct k j Popetes of the Coss Pouct Coss Pouct c c c 0 0 0 c Coss Pouct c c c c c c 0 0 0 0 0 0 Coss Pouct 0 0 0 ˆ ˆ 0 0 0

More information

Previously. Extensions to backstepping controller designs. Tracking using backstepping Suppose we consider the general system

Previously. Extensions to backstepping controller designs. Tracking using backstepping Suppose we consider the general system 436-459 Advnced contol nd utomtion Extensions to bckstepping contolle designs Tcking Obseves (nonline dmping) Peviously Lst lectue we looked t designing nonline contolles using the bckstepping technique

More information

The Shape of the Pair Distribution Function.

The Shape of the Pair Distribution Function. The Shpe of the P Dstbuton Functon. Vlentn Levshov nd.f. Thope Deptment of Phscs & stonom nd Cente fo Fundmentl tels Resech chgn Stte Unvest Sgnfcnt pogess n hgh-esoluton dffcton epements on powde smples

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

Week 8. Topic 2 Properties of Logarithms

Week 8. Topic 2 Properties of Logarithms Week 8 Topic 2 Popeties of Logithms 1 Week 8 Topic 2 Popeties of Logithms Intoduction Since the esult of ithm is n eponent, we hve mny popeties of ithms tht e elted to the popeties of eponents. They e

More information

Lecture 5 Single factor design and analysis

Lecture 5 Single factor design and analysis Lectue 5 Sngle fcto desgn nd nlss Completel ndomzed desgn (CRD Completel ndomzed desgn In the desgn of expements, completel ndomzed desgns e fo studng the effects of one pm fcto wthout the need to tke

More information

Chapter 7. Kleene s Theorem. 7.1 Kleene s Theorem. The following theorem is the most important and fundamental result in the theory of FA s:

Chapter 7. Kleene s Theorem. 7.1 Kleene s Theorem. The following theorem is the most important and fundamental result in the theory of FA s: Chpte 7 Kleene s Theoem 7.1 Kleene s Theoem The following theoem is the most impotnt nd fundmentl esult in the theoy of FA s: Theoem 6 Any lnguge tht cn e defined y eithe egul expession, o finite utomt,

More information

This immediately suggests an inverse-square law for a "piece" of current along the line.

This immediately suggests an inverse-square law for a piece of current along the line. Electomgnetic Theoy (EMT) Pof Rui, UNC Asheville, doctophys on YouTube Chpte T Notes The iot-svt Lw T nvese-sque Lw fo Mgnetism Compe the mgnitude of the electic field t distnce wy fom n infinite line

More information

9.4 The response of equilibrium to temperature (continued)

9.4 The response of equilibrium to temperature (continued) 9.4 The esponse of equilibium to tempetue (continued) In the lst lectue, we studied how the chemicl equilibium esponds to the vition of pessue nd tempetue. At the end, we deived the vn t off eqution: d

More information

COMP 465: Data Mining More on PageRank

COMP 465: Data Mining More on PageRank COMP 465: Dt Mnng Moe on PgeRnk Sldes Adpted Fo: www.ds.og (Mnng Mssve Dtsets) Powe Iteton: Set = 1/ 1: = 2: = Goto 1 Exple: d 1/3 1/3 5/12 9/24 6/15 = 1/3 3/6 1/3 11/24 6/15 1/3 1/6 3/12 1/6 3/15 Iteton

More information

Section 35 SHM and Circular Motion

Section 35 SHM and Circular Motion Section 35 SHM nd Cicul Motion Phsics 204A Clss Notes Wht do objects do? nd Wh do the do it? Objects sometimes oscillte in simple hmonic motion. In the lst section we looed t mss ibting t the end of sping.

More information

AP Physics C: Electricity and Magnetism

AP Physics C: Electricity and Magnetism 08 AP Physcs C: Electcty n Mgnetsm Fee-Response Questons 08 The College Bo. College Bo, Avnce Plcement Pogm, AP, AP Centl, n the con logo e egstee temks of the College Bo. Vst the College Bo on the Web:

More information

Chapter I Vector Analysis

Chapter I Vector Analysis . Chpte I Vecto nlss . Vecto lgeb j It s well-nown tht n vecto cn be wtten s Vectos obe the followng lgebc ules: scl s ) ( j v v cos ) ( e Commuttv ) ( ssoctve C C ) ( ) ( v j ) ( ) ( ) ( ) ( (v) he lw

More information

Newton-Raphson Based Computation of i d in the Field Weakening Region of IPM Motor Incorporating the Stator Resistance to Improve the Performance

Newton-Raphson Based Computation of i d in the Field Weakening Region of IPM Motor Incorporating the Stator Resistance to Improve the Performance Pge 1 o 6 Newton-Rphson Bse Computton o n the Fel Wekenng Regon o IPM Moto Incopotng the Stto Resstnce to Impove the Peomnce Shh Pevn 1, Z. S 1, n M. Ns Un, Seno Membe IEEE 1. Insttute o Mthemtcl Scences

More information

2 dependence in the electrostatic force means that it is also

2 dependence in the electrostatic force means that it is also lectc Potental negy an lectc Potental A scala el, nvolvng magntues only, s oten ease to wo wth when compae to a vecto el. Fo electc els not havng to begn wth vecto ssues woul be nce. To aange ths a scala

More information

DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING FLUID MECHANICS III Solutions to Problem Sheet 3

DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING FLUID MECHANICS III Solutions to Problem Sheet 3 DEPATMENT OF CIVIL AND ENVIONMENTAL ENGINEEING FLID MECHANICS III Solutions to Poblem Sheet 3 1. An tmospheic vote is moelle s combintion of viscous coe otting s soli boy with ngul velocity Ω n n iottionl

More information

Representation of Saturation in Stability Studies

Representation of Saturation in Stability Studies Inteestng summay: https://www.nap.eu/ea/8477/chapte/3 Repesentaton of atuaton n tabty tues Kunu wtes (pg ) that A goous teatment of synchonous machne pefomance ncung satuaton effects s a fute execse. Any

More information

III. Electromechanical Energy Conversion

III. Electromechanical Energy Conversion . Electoancal Enegy Coneson Schematc epesentaton o an toancal enegy coneson ece coppe losses coe losses (el losses) ancal losses Deental enegy nput om tcal souce: W V t Rt e t t W net ancal enegy output

More information

Phys 331: Ch 7,.2 More practice with Unconstrained Lagrange s Equations 1

Phys 331: Ch 7,.2 More practice with Unconstrained Lagrange s Equations 1 Phs 33: Ch 7 Moe ctce wth Unconstne gnge s Eutons We /3 hus / F / Mon /5 We /7 76-8 Genelze Vbles & Clsscl Hltonn (Recoen 79 f ou e h Phs 33) 8- -Bo Centl Foces Relte Coontes Reew E (Ch 5-7) HW7c (7 53

More information

10 Statistical Distributions Solutions

10 Statistical Distributions Solutions Communictions Engineeing MSc - Peliminy Reding 1 Sttisticl Distiutions Solutions 1) Pove tht the vince of unifom distiution with minimum vlue nd mximum vlue ( is ) 1. The vince is the men of the sques

More information

Class Summary. be functions and f( D) , we define the composition of f with g, denoted g f by

Class Summary. be functions and f( D) , we define the composition of f with g, denoted g f by Clss Summy.5 Eponentil Functions.6 Invese Functions nd Logithms A function f is ule tht ssigns to ech element D ectly one element, clled f( ), in. Fo emple : function not function Given functions f, g:

More information

6. Introduction to Transistor Amplifiers: Concepts and Small-Signal Model

6. Introduction to Transistor Amplifiers: Concepts and Small-Signal Model 6. ntoucton to anssto mples: oncepts an Small-Sgnal Moel Lectue notes: Sec. 5 Sea & Smth 6 th E: Sec. 5.4, 5.6 & 6.3-6.4 Sea & Smth 5 th E: Sec. 4.4, 4.6 & 5.3-5.4 EE 65, Wnte203, F. Najmaba Founaton o

More information

Radial geodesics in Schwarzschild spacetime

Radial geodesics in Schwarzschild spacetime Rdil geodesics in Schwzschild spcetime Spheiclly symmetic solutions to the Einstein eqution tke the fom ds dt d dθ sin θdϕ whee is constnt. We lso hve the connection components, which now tke the fom using

More information

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof ME6 Dnms, Spng HW Slutn Ke - Pve, gemetll.e. usng wngs sethes n nltll.e. usng equtns n nequltes, tht V then V. Nte: qunttes n l tpee e vets n n egul tpee e sls. Slutn: Let, Then V V V We wnt t pve tht:

More information

RELATIVE KINEMATICS. q 2 R 12. u 1 O 2 S 2 S 1. r 1 O 1. Figure 1

RELATIVE KINEMATICS. q 2 R 12. u 1 O 2 S 2 S 1. r 1 O 1. Figure 1 RELAIVE KINEMAICS he equtions of motion fo point P will be nlyzed in two diffeent efeence systems. One efeence system is inetil, fixed to the gound, the second system is moving in the physicl spce nd the

More information

Algebra Based Physics. Gravitational Force. PSI Honors universal gravitation presentation Update Fall 2016.notebookNovember 10, 2016

Algebra Based Physics. Gravitational Force. PSI Honors universal gravitation presentation Update Fall 2016.notebookNovember 10, 2016 Newton's Lw of Univesl Gvittion Gvittionl Foce lick on the topic to go to tht section Gvittionl Field lgeb sed Physics Newton's Lw of Univesl Gvittion Sufce Gvity Gvittionl Field in Spce Keple's Thid Lw

More information

Homework 3 MAE 118C Problems 2, 5, 7, 10, 14, 15, 18, 23, 30, 31 from Chapter 5, Lamarsh & Baratta. The flux for a point source is:

Homework 3 MAE 118C Problems 2, 5, 7, 10, 14, 15, 18, 23, 30, 31 from Chapter 5, Lamarsh & Baratta. The flux for a point source is: . Homewok 3 MAE 8C Poblems, 5, 7, 0, 4, 5, 8, 3, 30, 3 fom Chpte 5, msh & Btt Point souces emit nuetons/sec t points,,, n 3 fin the flux cuent hlf wy between one sie of the tingle (blck ot). The flux fo

More information

General Physics II. number of field lines/area. for whole surface: for continuous surface is a whole surface

General Physics II. number of field lines/area. for whole surface: for continuous surface is a whole surface Genel Physics II Chpte 3: Guss w We now wnt to quickly discuss one of the moe useful tools fo clculting the electic field, nmely Guss lw. In ode to undestnd Guss s lw, it seems we need to know the concept

More information

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines Epl equons fo elel petes of syel ouple osp lnes I.M. Bsee Eletons eseh Instute El-h steet, Dokk, o, Egypt Abstt: Epl equons e eve fo the self n utul nutne n ptne fo two syel ouple osp lnes. he obne ptne

More information

Chapter Linear Regression

Chapter Linear Regression Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use

More information

Part V: Velocity and Acceleration Analysis of Mechanisms

Part V: Velocity and Acceleration Analysis of Mechanisms Pat V: Velocty an Acceleaton Analyss of Mechansms Ths secton wll evew the most common an cuently pactce methos fo completng the knematcs analyss of mechansms; escbng moton though velocty an acceleaton.

More information

Lecture 10. Solution of Nonlinear Equations - II

Lecture 10. Solution of Nonlinear Equations - II Fied point Poblems Lectue Solution o Nonline Equtions - II Given unction g : R R, vlue such tht gis clled ied point o the unction g, since is unchnged when g is pplied to it. Whees with nonline eqution

More information

IMA Preprint Series # 2202

IMA Preprint Series # 2202 FRIENDY EQUIIBRIUM INTS IN EXTENSIVE GMES WITH CMETE INFRMTIN By Ezo Mch IM epnt Sees # My 8 INSTITUTE FR MTHEMTICS ND ITS ICTINS UNIVERSITY F MINNEST nd Hll 7 Chuch Steet S.E. Mnnepols Mnnesot 5555 6

More information

3.1 Magnetic Fields. Oersted and Ampere

3.1 Magnetic Fields. Oersted and Ampere 3.1 Mgnetic Fields Oested nd Ampee The definition of mgnetic induction, B Fields of smll loop (dipole) Mgnetic fields in mtte: ) feomgnetism ) mgnetiztion, (M ) c) mgnetic susceptiility, m d) mgnetic field,

More information

U>, and is negative. Electric Potential Energy

U>, and is negative. Electric Potential Energy Electic Potentil Enegy Think of gvittionl potentil enegy. When the lock is moved veticlly up ginst gvity, the gvittionl foce does negtive wok (you do positive wok), nd the potentil enegy (U) inceses. When

More information

EECE 260 Electrical Circuits Prof. Mark Fowler

EECE 260 Electrical Circuits Prof. Mark Fowler EECE 60 Electicl Cicuits Pof. Mk Fowle Complex Numbe Review /6 Complex Numbes Complex numbes ise s oots of polynomils. Definition of imginy # nd some esulting popeties: ( ( )( ) )( ) Recll tht the solution

More information

School of Electrical and Computer Engineering, Cornell University. ECE 303: Electromagnetic Fields and Waves. Fall 2007

School of Electrical and Computer Engineering, Cornell University. ECE 303: Electromagnetic Fields and Waves. Fall 2007 School of Electicl nd Compute Engineeing, Conell Univesity ECE 303: Electomgnetic Fields nd Wves Fll 007 Homewok 3 Due on Sep. 14, 007 by 5:00 PM Reding Assignments: i) Review the lectue notes. ii) Relevnt

More information

Rotations.

Rotations. oons j.lbb@phscs.o.c.uk To s summ Fmes of efeence Invnce une nsfomons oon of wve funcon: -funcons Eule s ngles Emple: e e - - Angul momenum s oon geneo Genec nslons n Noehe s heoem Fmes of efeence Conse

More information

THEORY OF EQUATIONS OBJECTIVE PROBLEMS. If the eqution x 6x 0 0 ) - ) 4) -. If the sum of two oots of the eqution k is -48 ) 6 ) 48 4) 4. If the poduct of two oots of 4 ) -4 ) 4) - 4. If one oot of is

More information

Optimization. x = 22 corresponds to local maximum by second derivative test

Optimization. x = 22 corresponds to local maximum by second derivative test Optimiztion Lectue 17 discussed the exteme vlues of functions. This lectue will pply the lesson fom Lectue 17 to wod poblems. In this section, it is impotnt to emembe we e in Clculus I nd e deling one-vible

More information

Data Structures. Element Uniqueness Problem. Hash Tables. Example. Hash Tables. Dana Shapira. 19 x 1. ) h(x 4. ) h(x 2. ) h(x 3. h(x 1. x 4. x 2.

Data Structures. Element Uniqueness Problem. Hash Tables. Example. Hash Tables. Dana Shapira. 19 x 1. ) h(x 4. ) h(x 2. ) h(x 3. h(x 1. x 4. x 2. Element Uniqueness Poblem Dt Stuctues Let x,..., xn < m Detemine whethe thee exist i j such tht x i =x j Sot Algoithm Bucket Sot Dn Shpi Hsh Tbles fo (i=;i

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

Chapter 5: Your Program Asks for Advice.

Chapter 5: Your Program Asks for Advice. Chte 5: You Pogm Asks fo Advce. Pge 63 Chte 5: You Pogm Asks fo Advce. Ths chte ntoduces new tye of ves (stng ves) nd how to get text nd numec esonses fom the use. Anothe Tye of Ve The Stng Ve: In Chte

More information

ITI Introduction to Computing II

ITI Introduction to Computing II ITI 1121. Intoduction to Computing II Mcel Tucotte School of Electicl Engineeing nd Compute Science Abstct dt type: Stck Stck-bsed lgoithms Vesion of Febuy 2, 2013 Abstct These lectue notes e ment to be

More information

CHAPTER 18: ELECTRIC CHARGE AND ELECTRIC FIELD

CHAPTER 18: ELECTRIC CHARGE AND ELECTRIC FIELD ollege Physics Student s Mnul hpte 8 HAPTR 8: LTRI HARG AD LTRI ILD 8. STATI LTRIITY AD HARG: OSRVATIO O HARG. ommon sttic electicity involves chges nging fom nnocoulombs to micocoulombs. () How mny electons

More information

Math 426: Probability Final Exam Practice

Math 426: Probability Final Exam Practice Mth 46: Probbility Finl Exm Prctice. Computtionl problems 4. Let T k (n) denote the number of prtitions of the set {,..., n} into k nonempty subsets, where k n. Argue tht T k (n) kt k (n ) + T k (n ) by

More information

SI Appendix Model Flow Chart of Dog-Human Rabies Transmission

SI Appendix Model Flow Chart of Dog-Human Rabies Transmission Appenx Moel Flow Cat of Dog-Huan abes Tanssson Aea epenent enstes of te og an uan populatons wee assue an ntal alues calculate by usng a suface fo te stuy aea of Djaéna of 700 k 2. Te ntal nube of expose

More information

MUTUAL INDUCTANCE OF FINITE LENGTH TWISTED-WIRE PAIR

MUTUAL INDUCTANCE OF FINITE LENGTH TWISTED-WIRE PAIR PONAN UNIVE RSIT OF TE CHNOLOG ACADE MIC JOURNALS No 69 Electcl Engneeng 0 Kstof BUDNIK* Wojcec MACHCŃSKI* MUTUAL INDUCTANCE OF FINITE LENGTH TWISTED-WIRE PAIR Twstng of bfl le s commonl use n vous fels

More information

Physics 1502: Lecture 2 Today s Agenda

Physics 1502: Lecture 2 Today s Agenda 1 Lectue 1 Phsics 1502: Lectue 2 Tod s Agend Announcements: Lectues posted on: www.phs.uconn.edu/~cote/ HW ssignments, solutions etc. Homewok #1: On Mstephsics this Fid Homewoks posted on Msteingphsics

More information

Electric Potential. and Equipotentials

Electric Potential. and Equipotentials Electic Potentil nd Euipotentils U Electicl Potentil Review: W wok done y foce in going fom to long pth. l d E dl F W dl F θ Δ l d E W U U U Δ Δ l d E W U U U U potentil enegy electic potentil Potentil

More information

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration

Go over vector and vector algebra Displacement and position in 2-D Average and instantaneous velocity in 2-D Average and instantaneous acceleration Mh Csquee Go oe eco nd eco lgeb Dsplcemen nd poson n -D Aege nd nsnneous eloc n -D Aege nd nsnneous cceleon n -D Poecle moon Unfom ccle moon Rele eloc* The componens e he legs of he gh ngle whose hpoenuse

More information

Density Functional Theory I

Density Functional Theory I Densty Functonal Theoy I cholas M. Hason Depatment of Chemsty Impeal College Lonon & Computatonal Mateals Scence Daesbuy Laboatoy ncholas.hason@c.ac.uk Densty Functonal Theoy I The Many Electon Schönge

More information

19.1 Electrical Potential Energy. Special Case 1. v B

19.1 Electrical Potential Energy. Special Case 1. v B 9. lectcl Potentl neg Specl Ce We elee tet chge between the plte o cpcto. Dung ome tme t moe om to B How e the ntl nd nl peed nd B elted? pp Sole th poblem b ung the concept o electcl potentl eneg B 9.

More information

π,π is the angle FROM a! TO b

π,π is the angle FROM a! TO b Mth 151: 1.2 The Dot Poduct We hve scled vectos (o, multiplied vectos y el nume clled scl) nd dded vectos (in ectngul component fom). Cn we multiply vectos togethe? The nswe is YES! In fct, thee e two

More information

Physics 11b Lecture #11

Physics 11b Lecture #11 Physics 11b Lectue #11 Mgnetic Fields Souces of the Mgnetic Field S&J Chpte 9, 3 Wht We Did Lst Time Mgnetic fields e simil to electic fields Only diffeence: no single mgnetic pole Loentz foce Moving chge

More information

ELECTRO - MAGNETIC INDUCTION

ELECTRO - MAGNETIC INDUCTION NTRODUCTON LCTRO - MAGNTC NDUCTON Whenee mgnetic flu linked with cicuit chnges, n e.m.f. is induced in the cicuit. f the cicuit is closed, cuent is lso induced in it. The e.m.f. nd cuent poduced lsts s

More information

Review of Mathematical Concepts

Review of Mathematical Concepts ENEE 322: Signls nd Systems view of Mthemticl Concepts This hndout contins ief eview of mthemticl concepts which e vitlly impotnt to ENEE 322: Signls nd Systems. Since this mteil is coveed in vious couses

More information

Chapter 13 - Universal Gravitation

Chapter 13 - Universal Gravitation Chapte 3 - Unesal Gataton In Chapte 5 we studed Newton s thee laws of moton. In addton to these laws, Newton fomulated the law of unesal gataton. Ths law states that two masses ae attacted by a foce gen

More information

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

Answers to test yourself questions

Answers to test yourself questions Answes to test youself questions opic Descibing fields Gm Gm Gm Gm he net field t is: g ( d / ) ( 4d / ) d d Gm Gm Gm Gm Gm Gm b he net potentil t is: V d / 4d / d 4d d d V e 4 7 9 49 J kg 7 7 Gm d b E

More information

A Study on Root Properties of Super Hyperbolic GKM algebra

A Study on Root Properties of Super Hyperbolic GKM algebra Stuy on Root Popetes o Supe Hypebol GKM lgeb G.Uth n M.Pyn Deptment o Mthemts Phypp s College Chenn Tmlnu In. bstt: In ths ppe the Supe hypebol genelze K-Mooy lgebs o nente type s ene n the mly s lso elte.

More information

(1) It increases the break down potential of the surrounding medium so that more potential can be applied and hence more charge can be stored.

(1) It increases the break down potential of the surrounding medium so that more potential can be applied and hence more charge can be stored. Cpcito Cpcito: Cpcito ( o conense ) is evice fo stoing chge. It essentilly consists of two conucting sufces such s two pltes o two spheicl shell o two cylines etc. kept exctly pllel to ech othe septe y

More information

Mark Scheme (Results) January 2008

Mark Scheme (Results) January 2008 Mk Scheme (Results) Jnuy 00 GCE GCE Mthemtics (6679/0) Edecel Limited. Registeed in Englnd nd Wles No. 4496750 Registeed Office: One90 High Holbon, London WCV 7BH Jnuy 00 6679 Mechnics M Mk Scheme Question

More information

E-Companion: Mathematical Proofs

E-Companion: Mathematical Proofs E-omnon: Mthemtcl Poo Poo o emm : Pt DS Sytem y denton o t ey to vey tht t ncee n wth d ncee n We dene } ] : [ { M whee / We let the ttegy et o ech etle n DS e ]} [ ] [ : { M w whee M lge otve nume oth

More information

STD: XI MATHEMATICS Total Marks: 90. I Choose the correct answer: ( 20 x 1 = 20 ) a) x = 1 b) x =2 c) x = 3 d) x = 0

STD: XI MATHEMATICS Total Marks: 90. I Choose the correct answer: ( 20 x 1 = 20 ) a) x = 1 b) x =2 c) x = 3 d) x = 0 STD: XI MATHEMATICS Totl Mks: 90 Time: ½ Hs I Choose the coect nswe: ( 0 = 0 ). The solution of is ) = b) = c) = d) = 0. Given tht the vlue of thid ode deteminnt is then the vlue of the deteminnt fomed

More information

4 7x =250; 5 3x =500; Read section 3.3, 3.4 Announcements: Bell Ringer: Use your calculator to solve

4 7x =250; 5 3x =500; Read section 3.3, 3.4 Announcements: Bell Ringer: Use your calculator to solve Dte: 3/14/13 Objective: SWBAT pply properties of exponentil functions nd will pply properties of rithms. Bell Ringer: Use your clcultor to solve 4 7x =250; 5 3x =500; HW Requests: Properties of Log Equtions

More information

Electricity & Magnetism Lecture 6: Electric Potential

Electricity & Magnetism Lecture 6: Electric Potential Electicity & Mgnetism Lectue 6: Electic Potentil Tody s Concept: Electic Potenl (Defined in tems of Pth Integl of Electic Field) Electicity & Mgnesm Lectue 6, Slide Stuff you sked bout:! Explin moe why

More information

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences Geneatng Functons, Weghted and Non-Weghted Sums fo Powes of Second-Ode Recuence Sequences Pantelmon Stăncă Aubun Unvesty Montgomey, Depatment of Mathematcs Montgomey, AL 3614-403, USA e-mal: stanca@studel.aum.edu

More information

The Area of a Triangle

The Area of a Triangle The e of Tingle tkhlid June 1, 015 1 Intodution In this tile we will e disussing the vious methods used fo detemining the e of tingle. Let [X] denote the e of X. Using se nd Height To stt off, the simplest

More information

Topics for Review for Final Exam in Calculus 16A

Topics for Review for Final Exam in Calculus 16A Topics fo Review fo Finl Em in Clculus 16A Instucto: Zvezdelin Stnkov Contents 1. Definitions 1. Theoems nd Poblem Solving Techniques 1 3. Eecises to Review 5 4. Chet Sheet 5 1. Definitions Undestnd the

More information

Chapter 28 Sources of Magnetic Field

Chapter 28 Sources of Magnetic Field Chpte 8 Souces of Mgnetic Field - Mgnetic Field of Moving Chge - Mgnetic Field of Cuent Element - Mgnetic Field of Stight Cuent-Cying Conducto - Foce Between Pllel Conductos - Mgnetic Field of Cicul Cuent

More information

Energy Dissipation Gravitational Potential Energy Power

Energy Dissipation Gravitational Potential Energy Power Lectue 4 Chpte 8 Physics I 0.8.03 negy Dissiption Gvittionl Potentil negy Powe Couse wesite: http://fculty.uml.edu/andiy_dnylov/teching/physicsi Lectue Cptue: http://echo360.uml.edu/dnylov03/physicsfll.html

More information

Math 4318 : Real Analysis II Mid-Term Exam 1 14 February 2013

Math 4318 : Real Analysis II Mid-Term Exam 1 14 February 2013 Mth 4318 : Rel Anlysis II Mid-Tem Exm 1 14 Febuy 2013 Nme: Definitions: Tue/Flse: Poofs: 1. 2. 3. 4. 5. 6. Totl: Definitions nd Sttements of Theoems 1. (2 points) Fo function f(x) defined on (, b) nd fo

More information

5 - Determinants. r r. r r. r r. r s r = + det det det

5 - Determinants. r r. r r. r r. r s r = + det det det 5 - Detemts Assote wth y sque mtx A thee s ume lle the etemt of A eote A o et A. Oe wy to efe the etemt, ths futo fom the set of ll mtes to the set of el umes, s y the followg thee popetes. All mtes elow

More information

FI 2201 Electromagnetism

FI 2201 Electromagnetism FI 1 Electomgnetism Alexnde A. Isknd, Ph.D. Physics of Mgnetism nd Photonics Resech Goup Electosttics ELECTRIC PTENTIALS 1 Recll tht we e inteested to clculte the electic field of some chge distiution.

More information

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle 1 PHYS 705: Classcal Mechancs Devaton of Lagange Equatons fom D Alembet s Pncple 2 D Alembet s Pncple Followng a smla agument fo the vtual dsplacement to be consstent wth constants,.e, (no vtual wok fo

More information

Chapter Fifiteen. Surfaces Revisited

Chapter Fifiteen. Surfaces Revisited Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)

More information

Read section 3.3, 3.4 Announcements:

Read section 3.3, 3.4 Announcements: Dte: 3/1/13 Objective: SWBAT pply properties of exponentil functions nd will pply properties of rithms. Bell Ringer: 1. f x = 3x 6, find the inverse, f 1 x., Using your grphing clcultor, Grph 1. f x,f

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

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

UNIT10 PLANE OF REGRESSION

UNIT10 PLANE OF REGRESSION UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /

More information

Chapter 25 Electric Potential

Chapter 25 Electric Potential Chpte 5 lectic Potentil consevtive foces -> potentil enegy - Wht is consevtive foce? lectic potentil = U / : the potentil enegy U pe unit chge is function of the position in spce Gol:. estblish the eltionship

More information

Ch 26 - Capacitance! What s Next! Review! Lab this week!

Ch 26 - Capacitance! What s Next! Review! Lab this week! Ch 26 - Cpcitnce! Wht s Next! Cpcitnce" One week unit tht hs oth theoeticl n pcticl pplictions! Cuent & Resistnce" Moving chges, finlly!! Diect Cuent Cicuits! Pcticl pplictions of ll the stuff tht we ve

More information

The analysis of dynamic response of rock mass around tunnel under dynamic unloading. Xian Li1, a

The analysis of dynamic response of rock mass around tunnel under dynamic unloading. Xian Li1, a 4th Intentonl Confeence on Sustnble Enegy nd Envonmentl Engneeng (ICSEEE 5) The nlyss of dynmc esponse of ock mss ound tunnel unde dynmc unlodng Xn L, Fculty of Cvl Engneeng nd Mechncs, Kunmng Unvesty

More information

( ) D x ( s) if r s (3) ( ) (6) ( r) = d dr D x

( ) D x ( s) if r s (3) ( ) (6) ( r) = d dr D x SIO 22B, Rudnick dpted fom Dvis III. Single vile sttistics The next few lectues e intended s eview of fundmentl sttistics. The gol is to hve us ll speking the sme lnguge s we move to moe dvnced topics.

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

Physics 2A Chapter 11 - Universal Gravitation Fall 2017

Physics 2A Chapter 11 - Universal Gravitation Fall 2017 Physcs A Chapte - Unvesal Gavtaton Fall 07 hese notes ae ve pages. A quck summay: he text boxes n the notes contan the esults that wll compse the toolbox o Chapte. hee ae thee sectons: the law o gavtaton,

More information

Lecture 2e Orthogonal Complement (pages )

Lecture 2e Orthogonal Complement (pages ) Lecture 2e Orthogonl Complement (pges -) We hve now seen tht n orthonorml sis is nice wy to descrie suspce, ut knowing tht we wnt n orthonorml sis doesn t mke one fll into our lp. In theory, the process

More information

Physics 604 Problem Set 1 Due Sept 16, 2010

Physics 604 Problem Set 1 Due Sept 16, 2010 Physics 64 Polem et 1 Due ept 16 1 1) ) Inside good conducto the electic field is eo (electons in the conducto ecuse they e fee to move move in wy to cncel ny electic field impessed on the conducto inside

More information

Neural Network Introduction. Hung-yi Lee

Neural Network Introduction. Hung-yi Lee Neu Neto Intoducton Hung- ee Reve: Supevsed enng Mode Hpothess Functon Set f, f : : (e) Tnng: Pc the est Functon f * Best Functon f * Testng: f Tnng Dt : functon nput : functon output, ˆ,, ˆ, Neu Neto

More information

PHYSICS 211 MIDTERM I 21 April 2004

PHYSICS 211 MIDTERM I 21 April 2004 PHYSICS MIDERM I April 004 Exm is closed book, closed notes. Use only your formul sheet. Write ll work nd nswers in exm booklets. he bcks of pges will not be grded unless you so request on the front of

More information

(a) Counter-Clockwise (b) Clockwise ()N (c) No rotation (d) Not enough information

(a) Counter-Clockwise (b) Clockwise ()N (c) No rotation (d) Not enough information m m m00 kg dult, m0 kg bby. he seesw stts fom est. Which diection will it ottes? ( Counte-Clockwise (b Clockwise ( (c o ottion ti (d ot enough infomtion Effect of Constnt et oque.3 A constnt non-zeo toque

More information

Language Processors F29LP2, Lecture 5

Language Processors F29LP2, Lecture 5 Lnguge Pocessos F29LP2, Lectue 5 Jmie Gy Feuy 2, 2014 1 / 1 Nondeteministic Finite Automt (NFA) NFA genelise deteministic finite utomt (DFA). They llow sevel (0, 1, o moe thn 1) outgoing tnsitions with

More information

The Number of Rows which Equal Certain Row

The Number of Rows which Equal Certain Row Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X

More information

«A first lesson on Mathematical Induction»

«A first lesson on Mathematical Induction» Bcgou ifotio: «A fist lesso o Mtheticl Iuctio» Mtheticl iuctio is topic i H level Mthetics It is useful i Mtheticl copetitios t ll levels It hs bee coo sight tht stuets c out the poof b theticl iuctio,

More information

A Heuristic Algorithm for the Scheduling Problem of Parallel Machines with Mold Constraints

A Heuristic Algorithm for the Scheduling Problem of Parallel Machines with Mold Constraints A Heustc Algothm fo the Schedulng Poblem of Pllel Mchnes wth Mold Constnts TZUNG-PEI HONG 1, PEI-CHEN SUN 2, nd SHIN-DAI LI 2 1 Deptment of Compute Scence nd Infomton Engneeng Ntonl Unvesty of Kohsung

More information

8 Baire Category Theorem and Uniform Boundedness

8 Baire Category Theorem and Uniform Boundedness 8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal

More information