LaPlace Transforms in Design and Analysis of Circuits Part 3: Basic Parallel Circuit Analysis

Size: px
Start display at page:

Download "LaPlace Transforms in Design and Analysis of Circuits Part 3: Basic Parallel Circuit Analysis"

Transcription

1 LaPlace Tranfrm n Degn and Analy f Crcut Part : Bac Parallel Crcut Analy Cure N: E-7 Credt: PDH Thma G. Bertenhaw, Ed.D., P.E. Cntnung Educatn and Develpment, Inc. 9 Greyrdge Farm Curt Stny Pnt, NY 98 P: (877-8 F: ( nf@cedengneerng.cm

2 LaPlace Tranfrm n Degn and Analy f Crcut Part by Tm Bertenhaw Bac Crcut Analy - Parallel Crcut Smple Tw Lp In Part, LaPlace technque were ued t lve fr the put n mple ere reactve crcut. Th part wll examne the technque ued n apprachng the lutn t tw and three lp parallel crcut wth reactve cmpnent. Parallel crcut that cntan a number f lp beynd three wll nt be exampled, a any number f lp can be reduced t tw r three by the ue f Thevnan' r Nrtn' therem, r by merely extendng the prcedure develped here (althugh the math huekeepng get ntene. Cnder the fllwng tw lp ytem: Z Z n Z Z Wrtng the crcut equatn fr each lp; reveal that there are tw equatn n tw unknwn that charactere the crcut. n ( ( There are everal technque avalable fr lvng ytem f lnear equatn that have the ame number f equatn a unknwn, and f the, we wll ue Cramer' Rule thrugh th ectn (If yu want a quck refreher n the ue f Cramer' Rule fr lvng ytem f lnear equatn, ee Appendx A. Suppe we have the fllwng value fr thrugh

3 f.f Crcut Wrtng the equatn fr the tw lp; ( n dt dt dt Quetn: Hw wa the factr dt develped? Snce the defnng equatn fr capactr behavr v c cdt. C c dv C dt c, t fllw that We can prbably reduce the labr (and anguh f the abve tw crcut equatn are cnverted t ther LaPlace tranfrm. Lkng at the tranfrmed crcut; / / the crcut equatn are re-wrtten a; ( ( ( ( n (

4 Re-wrtng thee equatn a matrce; ( n ( ( Frt, fnd the determnant. Det. (.7. The tak t fnd (put taken acr rghtmt capactr. a a functn f the drver, and n th cae let ( ( Hwever, frt we'll fnd the mpule repne t gan an dea f the frm f the tranent repne f the crcut. Becaue ( the nly current nvlved n fndng ( we need nt lve fr (, except t atfy curty. Slvng fr ( ; Det. (.7. and the put vltage repne t a current mpule ( n turn then (.7..t.7t ( e e ( t.7 Ex Indcatng that the tranent repne, fr all practcal purpe, er at (recall that n prevu mdule e wa defned t be ab er. t 9 ecnd

5 Eq. Ampltude Tme n Sec. Suppe that a drver f n(.t appled a n (t. (Often parameter are chen, n th cae the frequency, t exaggerate me apect f the repne fr llutratn purpe. Then ( equal Det... Snce ( (, then (.... (.7. (.7.(. (.7.( (f yu need a refreher n Partal Fractn Expann, partcularly wth repect t fndng factr n cmplex denmnatr, refer t LaPlace Tranfrm n Degn and Analy f Crcut Part and fnally ( t.e.7e.n(.t. t.7t Ex.

6 Eq..8.. Ampltude Tme n ec. Agan, pleae nte that the put cntan tw dtnct cmpnent: the tranent repne and the teady tate repne. The tranent repne the tme lmted cntrbutn f the "natve" r mpule repne (ampltude mdfed by the nature f the drver. The teady tate repne ha the charactertc f the drver and cntnue untl the drve remved. All repne wll cntan thee tw cmpnent. The RLC Anther, and very gnfcant, crcut the analg f the ere RLC netwrk; a expected t a parallel RLC netwrk; ften knwn a a "parallel tank" crcut. It prperte are uch that t preent a very hgh mpedance at the renant frequency renderng the crcut very ueful n flterng and frequency determnatn applcatn. Lke ther clac crcut th ne can al be mplemented ung actve cmpnent. Hwever t an undertandng f the repne that ught at th tme and nt the technque nvlved n mmckng reactve cmpnent wth actve cmpnent. The degn technque wll be develped n ubequent mdule wthn th ere. I t I I /C R L by npectn, Crcut t

7 C c L R Snce c, we can take advantage f that and wrte the crcut equatn a C L R r L R LC CR t t LC L R R L LC Suppe the fllwng crcut ext, and that we wh t knw t mpule repne. (See Appendx C fr a mple but relatvely effectve current drver I t I I /.. Puttng me fleh t the tranfer functn ( (. ( ( ( ( ( 99.87(.7 ( t t t ( t e c(99.87t.7e n(99.87t e n(99.87t 87 Ex

8 Ex. 8 Ampltude (lt Tme n multple f. The tank exhbt a charactertc "rngng" that deterrate ver tme n accrdance wth the ytem tme cntant. Tak: dentfy the tw cmpnent that determne the tme cntant; what the theretcal reult f a hm retr? Quetn: hm' pble under nrmal ambent cndtn? It wrth ntng the magntude f the put n repne t δ (t. Parallel tank generate cnderable vltage at r very near ther renant frequency and, a a degner, ne mut alway bear n mnd the cnequence t the remanng crcutry. It a quetn f the phyc f an nductr: Aume a ttal crcut current A n( ωt where the magntude f renance, jx L jx C AZ n a functn f ttal crcut mpedance Zttal d L L ; why L large? dt, and we al knw that Suppe th crcut drven by t n(t, then t Z t. At ( ( ((. ( ( 99.87( (( 8 ( ( t e n(99.87t n(t 8 t Eq. It wuld prbably be prudent t reduce the ttal current nput t. ntead f a drvng ampltude f. 7

9 Eq. Ampltude Tme n mec. d Bear n mnd, frm abve, that L L L ( jωl, meanng that the magntude f L dt drectly prprtnal t the magntude f bth L & ω. The gr effect that cnderable vltage can be bult acr an nductr, whch may preent a haard t the remanng crcutry. Of cure there are technque t cntrl and/r lmt the magntude, but that dcun fr a later tme. A an ade, and a a general cmment: whle cnderable effrt mantaned t mntr the crrectne f all the calculatn, ft tme what can g wrng wll g wrng. Therefre, f yu dcver an errr, pleae d nt hetate t cntact the cmpany and/r the authr. Cnder the fllwng crcut Three Lp Crcut Z Z Z n Z Z Z Crcut 8

10 Wrtng the lp equatn ( n ( ( Wrtng the ytem equatn n matrx ntatn ( ( ( n Wrtng the determnant ung the ether the example r the defntn cntaned n Appendx A ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( (. Det Det Slvng fr thrugh ( ( ( ( (.. Det Det n n n. Det n ( ( (.. Det Det n n. Det n 9

11 ( (.. Det Det n n. Det n Three by three matrce get mey when there are reactve cmpnent n the crcut, and even meer at greater dmenn. But a lng a the fundamental f the matrx lutn prce are undertd, t recmmended that yu rert t the ue f a cmputer r calculatr fr lutn t ytem greater than X. Naturally, the ade are nt eental, merely cnvenent. Fr practce, cnder the fllwng crcut n / / The determnant matrx cllectng term and factrng (curtey f truty HP9 - I cannt be ure, but I wuld gue the nternal rne ue the Newtn-Raphn (r varant theref methd f fndng the rt.

12 Det. 7 (.98 (.9 (. Aume that taken acr the nductr, n that cae L ( ( Det. n ( ( and n (.98 (.9(. n n (.98 (.9( (..98 (.9(..8 n (.9*.98. ( The mpule repne f ( t.t.9t.9e n(.98t..e Eq.

13 Eq. Ampltude Tme n ncrement f. Suppe the crcut drven at a frequency near renance n - then.8 (.98 ( (.9(..9. * ( ( t.t.9t.8n( t.e n(.98t 9..9e Eq.

14 Eq. Ampltude Tme n.ec A ery Gd Tank Crcut r The Strange Cae f a Puled Drver Suppe we wh t buld a hgh qualty tank crcut fr frequency determnng purpe, and further uppe that frequency megahert (.8 megarad/. We knw that ± j the renant frequency (n rad/ when R (an mpble cndtn n LC practcal realty, but frequently ued fr pedaggcal r rugh etmatn purpe and that the frequency f cllatn (n rad/ ( R appendce D & E. ± j when R (ee LC L Further uppe we buld the crcut a a parallel tank wth n phycal retr n the crcut. We wll mdel t a f the DC retvty f the nductr and cmpnent lead mall; n the rder f hm. Sme degn cnderatn wll urface. In addtn the drve wll be a repettu pule (the analy f the repne wll requre me thught t recncle the math t realty. A drve f the nature decrbed abve pee a pectrum f frequence, hwever fr llutratve purpe we wll gnre the harmnc cntent at preent. The develpment f the pectrum a ubject fr Furer analy; we wll hld that effrt n abeyance fr the purpe f th mdule. Jut bear n mnd that the actual put wll cntan a range f frequence the majrty f whch wll be attenuated by the flterng prperte f the tank. Chng the lumped value f. hm f lead retance and. hm f DC nductr retance, and further lettng C pf; then L. mh, verfy that th cmbnatn

15 yeld an ω 8 rad/ and that X L X C. Quetn: what happen t the renant frequency f the capactr and the nductr value vary by ± % n prductn? De th cndtn preent an envelpe f frequence? Hw culd th be rectfed t meet a pec f ω 8 ± %? The abve crcut ha tw lp current whch we wll call t C L C & L ; and nce t.. t.x X.( 78.9 ( 79.9X ( 78.9 t ( ( X ( 9. ( 9. (.8X (.8X (.8X ( 9. (.8X Fndng the mpule repne 9.t ( t X e n(.8x t Obvuly a magntude f vlt unupprtable n a mall gnal crcut. Lke a 9 tranmtter there wuld be "arc and park". There nthng wrng wth the math; the mprbable reult a functn f a practcal mpblty. δ (t an ntellectual cntruct utable fr ntructnal purpe. A practcal apprxmatn f δ (t a fnte ampltude pule f a few nan ecnd duratn, that al pee me fnte re and fall tme. Whle the mpule repne hwn abve yeld a "peek under the tent" t de nt yeld an undtrted mrrr f ampltude realty.

16 The tranfer functn, a already develped t LC( L R R L LC C( R L R L LC re-arrangng C R L LC t ( If we gnre the re and fall tme, and mdel k ( u( t u( t, where a f a k few nan ecnd duratn and the ampltude, we get much cler t a practcal reult. We get even cler f the re and fall tme are ncluded. The entre expren fr uch a drver mght be R L t a t {( tu( t tu( t β tu( t χ tu( } k t ε Where β < χ < ε and χ β a, all n the rder f a few nan ecnd. The cntant mdfe the lpe f t. k k t -k t a There are trade-ff n ether cenar n the frm f an unwanted frequency pectrum. and al perhap n the frm f mre flterng by addng an addtnal tank r tank. Addng addtnal tank nt necearly underable, a that narrw the bandwdth and prvde ncreaed electvty (anther tpc fr a later dcun, but nt n th

17 mdule. A alway n realty we deal n trade-ff and lk fr the bet cmprme. One f the trade-ff that even thugh the abve mdel mght mre accurately reflect the actual drvng pule, t' mathematcal mplementatn fal t reflect the realty f the put. Fr the ake f mdelng and llutratn and mplcty the fllwng an example wrked fr a drver cntng f a tep f nec duratn... R. R e C L C L R R ( ( L LC L LC 8 When tranent repne the ue we huld wrk nly wth the frt expren t the rght f the equal gn a the ecnd wll be a mrrr mage, albet wth a gn change and a tme ffet. That' the rub, t erve t cancel the put qute pbly befre the crcut ha had tme t ettle. The rean fr that that the math mdel fal t fllw realty n th cae. Eentally we are treatng a δ (t a a fnte ampltude pule wth fnte duratn t lmt the predcted put ampltude t the neghbrhd f realty. The abve mdel predct an put tp cncdent wth a drver tp, a the drver mdeled a a tep. S, knwng that the tank wll cntnue t cllate untl exhauted by the tme cntant rule f (tranent repne, treat the drver a a mathematcal mpule and gnre the drver duratn WHEN t much hrter than tme cntant. Of cure f the duratn f the drver greater than tme cntant then mdel t a we dd abve. When the drver a tme f extence much maller than tme cntant the LaPlace tranfrm methd de nt handle that a well a ther methd. Why bther wth mdelng the drver a a hrt duratn tep at all? The phyc f a tank are uch that when current flw ntated, t create a back and frth tranfer f charge between the nductr and the capactr, much lke the wng f a pendulum. Intally bth the nductr and capactr are uncharged. When current flw ntated, the nductr ret the change, but the capactr charge. Eventually the rate f change f charge n the capactr dmnhe a the nductr begn t charge. When the drver ceae, the nductr ret the change and cntnue t charge at the expene f the capactr. Eventually the capactr dcharged and current flw mmentarly ceae. The nductr' magnetc feld cllape at that pnt, rechargng the capactr n the ppte plarty. The prce cntnue, back and frth tranfer f charge (cllatn untl r le exhaut the crcut (expreed a a tme cntant. The drver duratn determne the amunt f charge avalable t create current flw, a dt ; f C cure the lmt n the ntegral are the duratn f the drvng tep. In th cae C c C. The um ttal f all f th dcun that f yu che t apprxmate an actual mall duratn drver a an ampltude lmted δ (t, yur put predctn wll be much cler t the actual cae.

18 Anther, and n many way mre atfyng, way f lkng at tank current t vuale the varu flw cndtn ung Krchhff' current law. The nly aumptn we need make that when current nt flwng frm the drver (bear n mnd that we are mdelng wth a current drver, lttle r n current can flw nt the drver;.e., t behave a an pen. Cae : Intal current flw; reactve cmpnent nt yet charged. Cae : Current flwng frm bth the drver and the nductr. Cae : Current flwng frm bth the drver and the capactr. Cae : Drver ff; capactr dchargng nt the nductr. 7

19 Cae : Drver ff; nductr dchargng n t the capactr. A the abve are the nly pble cae f current flw, t farly eay t vuale what gng n wth the drver ether n r ff. The majrty f the tme Cae & predmnate a the drver generally n nly fr a mall duty cycle. can al be re-wrtten a C( R L. R L LC 8 ( e wth value... A ( 9. (.8X ( 9. (.8x.... * (.8X ( 9. (.8X ( 9. (.8x A Bell wuld ay "FAPP" (Fr All Practcal Purpe ( t e 9.t n(.8x t Our math predct a magntude f ; that becaue the nput wa mdeled by manpulatng unt tep. But the nput a n wde pule that de nt have the tme avalable t cmpletely charge the crcut (f the crcut cmpletely dcharge n tme cntant. t wll charge n tme cntant; recall that C dt C. A Furer tranfrm apprach wuld be a better apprach n generatng a mdel f the repne; but Furer tranfrm yeld a frequency pectrum and heren we cncerned wth the tme repne. B Jhn S. Bell, 98-99, Phyct extrardnare 8

20 Al an ntantaneu plarty reveral at 8 ecnd expected frm the mdel becaue we have aumed an deal drver wth ntantaneu re and fall tme. d d Intantaneu "anythng" are generally nt pble. Snce L L and fr an dt dt ntantaneu change (a dcntnuty,.e., the drver ha tw dfferent multaneu value the mdel fal. That mut be kept n mnd t make the fnal reult meanngful. That anther rean why we fall back n FAPP. FAPP ften an engneer' bet frend. A lttle bt f drvng current yeld an ftme magnfcent put, metme mre than the crcut ntended fr and addtnal crcutry requred t keep thng ane. Neverthele, even a drver that a tmed and equenced unt tep de nt yeld an undtrted pcture f realty, but t much cler than the mpule repne. A lk at the tme cntant ndcate that the put ha decayed t.7% f max at ab m. Suppe t dered that the crcut never be allwed t decay belw 9% f max. What the nterval needed between drvng mpule? S the crcut puled every.7m. e 9.τ.9 9.τ ln e ln.9 τ.7m In the cae abve, the drver n fr n and cycle tme.7m; the duty cycle ab.%. That a pretty decent tank. 9. In the abve example, remember the tme cntant actually, a the unt n 9. R MUST be t. 9. repreent L, therefre the tme cntant L - de th R expren have unt f t? Ye, t de. Nt develped n th dcun the bandwdth f the tank and pectrum f the put. Bth tpc are f crtcal nteret t the analyt and t the degner. Nether can be gnred n practce. They have been tactly gnred n th dcun a the ntentn here t fcu n the tme repne. Dcun and develpment f tank bandwdth and ablty t dcrmnate agant unwanted frequence wll be delayed untl a later mdule. Neverthele, t truly the frequency cntent f the drvng functn that caue ympathetc cllatn n the crcut. That apect ha been ttally gnred n th 9

21 dcun a t nt needed n the develpment f a mple tme repne. But a we hall ee n ubequent mdule frequency a majr player, ften the 8 pund Grlla, n crcut tablty/ntablty cnderatn.

22 Tranfrm f (t F ( K t Ke σ K n( ω t K c( ω t σ Ke t n( ωt Ke t K K σ Kω ω K ω Kω ( σ ω σ c( ωt K ( σ ( σ ω ( 7 δ (t 7a* Kδ (t K 8 Ku( t a Ke a 9 f '( t F ( f ( f ( t dt F ( af ( t bg( t af ( bg( t at te ( Table a * K preerved fr practcal crcut rean, nt fr theretcal rean a K apprxmately equal t It very mprtant t undertand that t be able tranfrm any F ( t an f (t, F ( mut be reduced t ne f the frm far develped. If t nt n ne f thee frm t cannt be perated n untl t. Study the rght hand de frm, they dentfy the left hand de.

23 Appendx A Cramer' Rule Refreher Th appendx nt ntended a a tutral, but rather a a refreher fr the that want a remnder f hw the prce prceed. Suppe there a ytem f equatn repreentng a mple tw lp crcut cntanng tw unknwn and tw equatn, uch a a b a b n In the abve cae & are the unknwn and everythng ele knwn. Then ung the ntatn f Algebra we can re-wrte thee equatn a a a n b b In rder t lve fr the tw unknwn, frt the determnant (Det. fund by multplyng the element f left t rght dagnal, and then ubtractng the multplcatn f element n the rght t left dagnal. Det. ab ba Next, t fnd, the rghtmt clumn cntanng & cntanng a & a. n ubttuted fr the clumn n b b Then fnd the determnant f that new matrx. n b b Next dvde by the Det., the reult the value f. S b b n a b b a

24 The term b er, and ncluded nly fr cmpletene a the drver n the ecnd lp nt alway er. Fnally lve fr by ubttutng & fr the clumn cntanng b & b. n a a n and dvde by Det. a a a b n b a Pleae bear n mnd that the ecnd lp may have a drver and therefre the left hand de f the decrbng equatn wll nt be er. Al, there n cntrant n the matrx element t be real, n fact n actual crcutry they are mre than ften cmplex. Al becaue the rule f LaPlace Tranfrm par allw addtn, the whle et f equatn may be wrtten n the '' dman. Optnal: Fr a hrt dcun f why th technque wrk, ee appendx B. An example; Z Z n Z Z Frm the abve, n ( ( The determnant ( ( r Det.

25 Then ( n Det. and Det. ( n Aume: n,, Then Det. 7 and and Suppe, then. 8 Fr a three lp crcut, there wll be three equatn and three unknwn. Z Z Z n Z Z Z The prcedure fr any matrx greater than a x a n the abve example, extended and mdfed lghtly. In the cae f the three lp crcut there a three clumn and three rw; ( ( ( ( ( ( n The determnant matrx wll be

26 ( ( ( At th pnt a mdfcatn ccur. There are three clumn, and therefre there mut be three term fr bth the left and rght hand dagnal. A frequent crutch that wrk t merely cpy clumn & t the rght f the matrx; that yeld three cmplete dagnal n each drectn. T extend the rule, an nxn matrx requre n dagnal n each drectn. ( ( ( ( ( the determnant then ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( A an example, uppe that three equatn n three unknwn are. The matrce are The determnant 7 ( ( ( ( (( ((( ( (( ( ( ( (( (

27 The mnu gn n tw. merely mean that t flwng n a drectn ppte t the ther Fr matrce greater than three rw by three clumn (x, the labr ge up gnfcantly, and the ue f a calculatr uch a an HP9 r a cmputer prgram mlar t MATLAB very helpful. Hwever fr the that enjy the labr the fllwng rule are ffered: The determnant the algebrac um f all the pble prduct where: a. each prduct ha factr f ne element, and nly ne, frm each rw and clumn b. a plu gn agned t each prduct f the number f clumn nvern even, nvern beng defned a even. A mnu gn agned t a prduct that ha an dd number f clumn nvern. An nvern, by llutratn, that f the natural rder f cuntng and a prduct frmed frm clumn then t cntan tw nvern; t change t, the mut mve tw place t the rght. ha x nvern a the mve three place, the mve tw place and the mve ne t create. Thee rule are mply the prcedure ued fr a x extended t an nxn. There are ther, equally vald technque frm ur lde-rule day, uch a Gauan Elmnatn, Matrx Invern and the ue f Mnr, but all n all nce yu undertand the fundatn f the prce the ue f a gd calculatr ncredbly labr and errr avng. Of cure t the undertandng f thee technque that frm the fundatn fr the prgrammng n the calculatr' ROM lbrary.

28 Suppe Ax By P Cx Dy Q Appendx B Fundatn then By P Ax and y P Ax B then P Ax Cx D Q and becme CBx DP ADx BQ B whch, n turn becme x( CB AD BQ DP r x PD AD BQ BC Ung Cramer' rule the matrce fr the tw ntal equatn are x P Q A C B D B D PD BQ AD BC Fr the wth nfnte tamna th prcedure can be extended t any number f equatn that pe the ame number n unknwn. But the authr, beng a member f Layhd Incrprated, ue mechancal mean nce the thery etablhed. 7

29 Appendx C Cmmn Bae Amplfer Cnder the fllwng crcut R e c C E e be cb R lad B n cc Th crcut cnt f an NPN trantr, frward baed emtter t bae ( and revere baed cllectr t bae (. Typcally n the rder f apprxmately.7 vlt, the current thrugh R e, be be be I e n.7 R e The phyc f the trantr are uch that the current thrugh the cllectr and hence thrugh R alway I (true wthn the manufacturer peratng lad charactertc range fr the partcular trantr type. Therefre adjutng I e, whch n turn cntrl the lad current. In hrt e n adjut I. 99 c I e Obvuly th make the current thrugh the lad utterly dependent n dependent upn the value chen fr R e & n. I e, whch n turn The abve a very prmtve vern f a cmmn bae amplfer, and degn cnderatn f cuplng, mpedance, bandwdth, emtter retance, etc., have been utterly gnred a t fcu n the current generatr effect at the cllectr. The mt cmmn pnt f cnfun that f the cllectr current 99% f the emtter current, what ha happened t hm' law n the cllectr t bae lp. Nthng actually. Krchhff' vltage equatn fr that lp 8

30 I R cc e lad cb A the trantr actve, and cntraned by t' phyc, the vltage law. cb adjut t accmmdate 9

31 Appendx D Renance defned t ccur when X X. Fr a ere crcut the ttal mpedance L C R t jx L jx C It clear at renance the mpedance at mnmum and depend nly upn R t. In a parallel crcut the abve um the denmnatr f the expren f ttal mpedance. Agan t clear that t a mnmum at renance. A mnmum denmnatr create a maxmum mpedance. A a rule f thumb at renance: a a ere crcut apprache a hrt, and b a parallel crcut apprache an pen. Snce X L jπfl, and X C j π fc, at renance πf L πf C nce π f ω we can re-wrte a fllw ω LC an fnally ω LC

32 Appendx E A quadratc ha nly tw pble et f rt; a. bth real (may be equal r unequal r b. a cmplex par. Cnder the quadratc th rt are R L LC R ± L R L LC whch lead t R R ± L L LC when the dcrmnant, the rt are real, and when the dcrmnant < the rt are cmplex and may be re-wrtten cnvenently a R ± L j LC R L

Let s start from a first-order low pass filter we already discussed.

Let s start from a first-order low pass filter we already discussed. EEE0 Netrk Analy II Dr. harle Km Nte09: Actve Flter ---Part. gher-order Actve Flter The rt-rder lter d nt harply dvde the pa band and the tp band. One apprach t btan a harper trantn beteen the pa band

More information

Introduction to Electronic circuits.

Introduction to Electronic circuits. Intrductn t Electrnc crcuts. Passve and Actve crcut elements. Capactrs, esstrs and Inductrs n AC crcuts. Vltage and current dvders. Vltage and current surces. Amplfers, and ther transfer characterstc.

More information

CHAPTER 11. Solutions for Exercises. (b) An inverting amplifier has negative gain. Thus L

CHAPTER 11. Solutions for Exercises. (b) An inverting amplifier has negative gain. Thus L CHPTE Slutn fr Exerce E. (a nnnertng amplfer ha pte gan. Thu ( t ( t 50 ( t 5.0 n(000πt (b n nertng amplfer ha negate gan. Thu ( t ( t 50 ( t 5.0 n(000πt E. V V 75 500 + 5+ 75 c 75 V 000 75 500 V + + 500

More information

Part III Lectures Field-Effect Transistors (FETs) and Circuits

Part III Lectures Field-Effect Transistors (FETs) and Circuits Part III Lecture 5-8 Feld-Effect Trantr (FET) and Crcut Unverty f Technlgy Feld-Effect Trantr (FET) Electrcal and Electrnc Engneerng epartment Lecture Ffteen - Page f 8 ecnd Year, Electrnc I, 2009-200

More information

Energy & Work

Energy & Work rk Dne by a Cntant Frce 6.-6.4 Energy & rk F N m jule () J rk Dne by a Cntant Frce Example Pullng a Sutcae-n-heel Fnd the wrk dne the rce 45.0-N, the angle 50.0 degree, and the dplacement 75.0 m. 3 ( F

More information

, where. This is a highpass filter. The frequency response is the same as that for P.P.14.1 RC. Thus, the sketches of H and φ are shown below.

, where. This is a highpass filter. The frequency response is the same as that for P.P.14.1 RC. Thus, the sketches of H and φ are shown below. hapter 4, Slutn. H ( H(, where H π H ( φ H ( tan - ( Th a hghpa lter. The requency repne the ame a that r P.P.4. except that. Thu, the ketche H and φ are hwn belw. H.77 / φ 9 45 / hapter 4, Slutn. H(,

More information

PHYSICS 536 Experiment 12: Applications of the Golden Rules for Negative Feedback

PHYSICS 536 Experiment 12: Applications of the Golden Rules for Negative Feedback PHYSICS 536 Experment : Applcatns f the Glden Rules fr Negatve Feedback The purpse f ths experment s t llustrate the glden rules f negatve feedback fr a varety f crcuts. These cncepts permt yu t create

More information

Name Student ID. A student uses a voltmeter to measure the electric potential difference across the three boxes.

Name Student ID. A student uses a voltmeter to measure the electric potential difference across the three boxes. Name Student ID II. [25 pt] Thi quetin cnit f tw unrelated part. Part 1. In the circuit belw, bulb 1-5 are identical, and the batterie are identical and ideal. Bxe,, and cntain unknwn arrangement f linear

More information

Wp/Lmin. Wn/Lmin 2.5V

Wp/Lmin. Wn/Lmin 2.5V UNIVERITY OF CALIFORNIA Cllege f Engneerng Department f Electrcal Engneerng and Cmputer cences Andre Vladmrescu Hmewrk #7 EEC Due Frday, Aprl 8 th, pm @ 0 Cry Prblem #.5V Wp/Lmn 0.0V Wp/Lmn n ut Wn/Lmn.5V

More information

55:041 Electronic Circuits

55:041 Electronic Circuits 55:04 Electrnc Crcuts Feedback & Stablty Sectns f Chapter 2. Kruger Feedback & Stablty Cnfguratn f Feedback mplfer S S S S fb Negate feedback S S S fb S S S S S β s the feedback transfer functn Implct

More information

Faculty of Engineering

Faculty of Engineering Faculty f Engneerng DEPARTMENT f ELECTRICAL AND ELECTRONIC ENGINEERING EEE 223 Crcut Thery I Instructrs: M. K. Uygurğlu E. Erdl Fnal EXAMINATION June 20, 2003 Duratn : 120 mnutes Number f Prblems: 6 Gd

More information

Small signal analysis

Small signal analysis Small gnal analy. ntroducton Let u conder the crcut hown n Fg., where the nonlnear retor decrbed by the equaton g v havng graphcal repreentaton hown n Fg.. ( G (t G v(t v Fg. Fg. a D current ource wherea

More information

Feedback Principle :-

Feedback Principle :- Feedback Prncple : Feedback amplfer s that n whch a part f the utput f the basc amplfer s returned back t the nput termnal and mxed up wth the nternal nput sgnal. The sub netwrks f feedback amplfer are:

More information

EE 215A Fundamentals of Electrical Engineering Lecture Notes Operational Amplifiers (Op Amps) 8/6/01 Reviewed 10/04

EE 215A Fundamentals of Electrical Engineering Lecture Notes Operational Amplifiers (Op Amps) 8/6/01 Reviewed 10/04 EE 5 Fundamental Electrcal Engneerng Lecture Nte Operatnal mpler (Op mp) 8/6/ eewed /4 ch Chrte Oerew: The peratnal ampler, r p amp r hrt, a undamental buldng blck n crcut degn. Stued nde a chp are a bunch

More information

EE 204 Lecture 25 More Examples on Power Factor and the Reactive Power

EE 204 Lecture 25 More Examples on Power Factor and the Reactive Power EE 204 Lecture 25 Mre Examples n Pwer Factr and the Reactve Pwer The pwer factr has been defned n the prevus lecture wth an example n pwer factr calculatn. We present tw mre examples n ths lecture. Example

More information

Section 3: Detailed Solutions of Word Problems Unit 1: Solving Word Problems by Modeling with Formulas

Section 3: Detailed Solutions of Word Problems Unit 1: Solving Word Problems by Modeling with Formulas Sectn : Detaled Slutns f Wrd Prblems Unt : Slvng Wrd Prblems by Mdelng wth Frmulas Example : The factry nvce fr a mnvan shws that the dealer pad $,5 fr the vehcle. If the stcker prce f the van s $5,, hw

More information

IGEE 401 Power Electronic Systems. Solution to Midterm Examination Fall 2004

IGEE 401 Power Electronic Systems. Solution to Midterm Examination Fall 2004 Jós, G GEE 401 wer Electrnc Systems Slutn t Mdterm Examnatn Fall 2004 Specal nstructns: - Duratn: 75 mnutes. - Materal allwed: a crb sheet (duble sded 8.5 x 11), calculatr. - Attempt all questns. Make

More information

Chapter 9 Compressible Flow 667

Chapter 9 Compressible Flow 667 Chapter 9 Cmpreible Flw 667 9.57 Air flw frm a tank thrugh a nzzle int the tandard atmphere, a in Fig. P9.57. A nrmal hck tand in the exit f the nzzle, a hwn. Etimate (a) the tank preure; and (b) the ma

More information

Problem 1. Refracting Surface (Modified from Pedrotti 2-2)

Problem 1. Refracting Surface (Modified from Pedrotti 2-2) .70 Optc Hmewrk # February 8, 04 Prblem. Reractng Surace (Me rm Pertt -) Part (a) Fermat prncple requre that every ray that emanate rm the bject an pae thrugh the mage pnt mut be chrnu (.e., have equal

More information

Chapter 7. Systems 7.1 INTRODUCTION 7.2 MATHEMATICAL MODELING OF LIQUID LEVEL SYSTEMS. Steady State Flow. A. Bazoune

Chapter 7. Systems 7.1 INTRODUCTION 7.2 MATHEMATICAL MODELING OF LIQUID LEVEL SYSTEMS. Steady State Flow. A. Bazoune Chapter 7 Flud Systems and Thermal Systems 7.1 INTODUCTION A. Bazune A flud system uses ne r mre fluds t acheve ts purpse. Dampers and shck absrbers are eamples f flud systems because they depend n the

More information

ELG4139: Op Amp-based Active Filters

ELG4139: Op Amp-based Active Filters ELG439: Op Amp-baed Actve Flter Advantage: educed ze and weght, and therere paratc. Increaed relablty and mprved perrmance. Smpler degn than r pave lter and can realze a wder range unctn a well a prvdng

More information

Electrical Circuits II (ECE233b)

Electrical Circuits II (ECE233b) Electrcal Crcut II (ECE33b) Applcaton of Laplace Tranform to Crcut Analy Anet Dounav The Unverty of Wetern Ontaro Faculty of Engneerng Scence Crcut Element Retance Tme Doman (t) v(t) R v(t) = R(t) Frequency

More information

CIRCUIT ANALYSIS II Chapter 1 Sinusoidal Alternating Waveforms and Phasor Concept. Sinusoidal Alternating Waveforms and

CIRCUIT ANALYSIS II Chapter 1 Sinusoidal Alternating Waveforms and Phasor Concept. Sinusoidal Alternating Waveforms and U ANAYSS hapter Snusdal Alternatng Wavefrs and Phasr ncept Snusdal Alternatng Wavefrs and Phasr ncept ONNS. Snusdal Alternatng Wavefrs.. General Frat fr the Snusdal ltage & urrent.. Average alue..3 ffectve

More information

Circuits Op-Amp. Interaction of Circuit Elements. Quick Check How does closing the switch affect V o and I o?

Circuits Op-Amp. Interaction of Circuit Elements. Quick Check How does closing the switch affect V o and I o? Crcuts Op-Amp ENGG1015 1 st Semester, 01 Interactn f Crcut Elements Crcut desgn s cmplcated by nteractns amng the elements. Addng an element changes vltages & currents thrughut crcut. Example: clsng a

More information

Design of Analog Integrated Circuits

Design of Analog Integrated Circuits Desgn f Analg Integrated Crcuts I. Amplfers Desgn f Analg Integrated Crcuts Fall 2012, Dr. Guxng Wang 1 Oerew Basc MOS amplfer structures Cmmn-Surce Amplfer Surce Fllwer Cmmn-Gate Amplfer Desgn f Analg

More information

CHAPTER 3 ANALYSIS OF KY BOOST CONVERTER

CHAPTER 3 ANALYSIS OF KY BOOST CONVERTER 70 CHAPTER 3 ANALYSIS OF KY BOOST CONERTER 3.1 Intrductn The KY Bst Cnverter s a recent nventn made by K.I.Hwu et. al., (2007), (2009a), (2009b), (2009c), (2010) n the nn-slated DC DC cnverter segment,

More information

CTN 2/23/16. EE 247B/ME 218: Introduction to MEMS Design Lecture 11m2: Mechanics of Materials. Copyright 2016 Regents of the University of California

CTN 2/23/16. EE 247B/ME 218: Introduction to MEMS Design Lecture 11m2: Mechanics of Materials. Copyright 2016 Regents of the University of California Vlume Change fr a Unaxal Stress Istrpc lastcty n 3D Istrpc = same n all drectns The cmplete stress-stran relatns fr an strpc elastc Stresses actng n a dfferental vlume element sld n 3D: (.e., a generalzed

More information

Chapter 3, Solution 1C.

Chapter 3, Solution 1C. COSMOS: Cmplete Onlne Slutns Manual Organzatn System Chapter 3, Slutn C. (a If the lateral surfaces f the rd are nsulated, the heat transfer surface area f the cylndrcal rd s the bttm r the tp surface

More information

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax .7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical

More information

CHAPTER 3: FEEDBACK. Dr. Wan Mahani Hafizah binti Wan Mahmud

CHAPTER 3: FEEDBACK. Dr. Wan Mahani Hafizah binti Wan Mahmud CHPTER 3: FEEDBCK Dr. Wan Mahan Hafzah bnt Wan Mahmud Feedback ntrductn Types f Feedback dvantages, Characterstcs and effect f Negatve Feedback mplfers Crcuts wth negatve feedback Pstve feedback and Oscllatr

More information

ME2142/ME2142E Feedback Control Systems. Modelling of Physical Systems The Transfer Function

ME2142/ME2142E Feedback Control Systems. Modelling of Physical Systems The Transfer Function Mdellng Physcal Systems The Transer Functn Derental Equatns U Plant Y In the plant shwn, the nput u aects the respnse the utput y. In general, the dynamcs ths respnse can be descrbed by a derental equatn

More information

V. Electrostatics Lecture 27a: Diffuse charge at electrodes

V. Electrostatics Lecture 27a: Diffuse charge at electrodes V. Electrstatcs Lecture 27a: Dffuse charge at electrdes Ntes by MIT tudent We have talked abut the electrc duble structures and crrespndng mdels descrbng the n and ptental dstrbutn n the duble layer. Nw

More information

University of Southern California School Of Engineering Department Of Electrical Engineering

University of Southern California School Of Engineering Department Of Electrical Engineering Unverty f Suthern afrna Sch Of Enneern Deartent Of Eectrca Enneern EE 48: ewrk nent # fa, Due 9/7/ ha Fure : The redrawn cnfuratn f "F P." t b t a Gven the fure, ne can wrte the fwn equatn: λ t t { λ }

More information

A New Method for Solving Integer Linear. Programming Problems with Fuzzy Variables

A New Method for Solving Integer Linear. Programming Problems with Fuzzy Variables Appled Mathematcal Scences, Vl. 4, 00, n. 0, 997-004 A New Methd fr Slvng Integer Lnear Prgrammng Prblems wth Fuzzy Varables P. Pandan and M. Jayalakshm Department f Mathematcs, Schl f Advanced Scences,

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler -T Sytem: Ung Bode Plot EEE 30 Sgnal & Sytem Pro. Mark Fowler Note Set #37 /3 Bode Plot Idea an Help Vualze What rcut Do Lowpa Flter Break Pont = / H ( ) j /3 Hghpa Flter c = / L Bandpa Flter n nn ( a)

More information

4DVAR, according to the name, is a four-dimensional variational method.

4DVAR, according to the name, is a four-dimensional variational method. 4D-Varatnal Data Assmlatn (4D-Var) 4DVAR, accrdng t the name, s a fur-dmensnal varatnal methd. 4D-Var s actually a smple generalzatn f 3D-Var fr bservatns that are dstrbuted n tme. he equatns are the same,

More information

A Note on the Linear Programming Sensitivity. Analysis of Specification Constraints. in Blending Problems

A Note on the Linear Programming Sensitivity. Analysis of Specification Constraints. in Blending Problems Aled Mathematcal Scences, Vl. 2, 2008, n. 5, 241-248 A Nte n the Lnear Prgrammng Senstvty Analyss f Secfcatn Cnstrants n Blendng Prblems Umt Anc Callway Schl f Busness and Accuntancy Wae Frest Unversty,

More information

ECE-320: Linear Control Systems Homework 1. 1) For the following transfer functions, determine both the impulse response and the unit step response.

ECE-320: Linear Control Systems Homework 1. 1) For the following transfer functions, determine both the impulse response and the unit step response. Due: Mnday Marh 4, 6 at the beginning f la ECE-: Linear Cntrl Sytem Hmewrk ) Fr the fllwing tranfer funtin, determine bth the imule rene and the unit te rene. Srambled Anwer: H ( ) H ( ) ( )( ) ( )( )

More information

Conservation of Energy

Conservation of Energy Cnservatn f Energy Equpment DataStud, ruler 2 meters lng, 6 n ruler, heavy duty bench clamp at crner f lab bench, 90 cm rd clamped vertcally t bench clamp, 2 duble clamps, 40 cm rd clamped hrzntally t

More information

Thermodynamics of Materials

Thermodynamics of Materials Thermdynamcs f Materals 14th Lecture 007. 4. 8 (Mnday) FUGACITY dg = Vd SdT dg = Vd at cnstant T Fr an deal gas dg = (RT/)d = RT dln Ths s true fr deal gases nly, but t wuld be nce t have a smlar frm fr

More information

_J _J J J J J J J J _. 7 particles in the blue state; 3 particles in the red state: 720 configurations _J J J _J J J J J J J J _

_J _J J J J J J J J _. 7 particles in the blue state; 3 particles in the red state: 720 configurations _J J J _J J J J J J J J _ Dsrder and Suppse I have 10 partcles that can be n ne f tw states ether the blue state r the red state. Hw many dfferent ways can we arrange thse partcles amng the states? All partcles n the blue state:

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

Chapter 6 : Gibbs Free Energy

Chapter 6 : Gibbs Free Energy Wnter 01 Chem 54: ntrductry hermdynamcs Chapter 6 : Gbbs Free Energy... 64 Defntn f G, A... 64 Mawell Relatns... 65 Gbbs Free Energy G(,) (ure substances)... 67 Gbbs Free Energy fr Mtures... 68 ΔG f deal

More information

EE 221 Practice Problems for the Final Exam

EE 221 Practice Problems for the Final Exam EE 1 Practce Prblems fr the Fnal Exam 1. The netwrk functn f a crcut s 1.5 H. ω 1+ j 500 Ths table recrds frequency respnse data fr ths crcut. Fll n the blanks n the table:. The netwrk functn f a crcut

More information

element k Using FEM to Solve Truss Problems

element k Using FEM to Solve Truss Problems sng EM t Slve Truss Prblems A truss s an engneerng structure cmpsed straght members, a certan materal, that are tpcall pn-ned at ther ends. Such members are als called tw-rce members snce the can nl transmt

More information

FYSE400 ANALOG ELECTRONICS

FYSE400 ANALOG ELECTRONICS YS400 NLOG LCONCS LCU 12 eedback plfer 1 uptn 1. he bac aplfer unlateral. 2. he gan OL f the bac aplfer deterned wthut feedback. 3. he calculated gan OL laded gan : ladng f the feedback netwrk, urce and

More information

Shell Stiffness for Diffe ent Modes

Shell Stiffness for Diffe ent Modes Engneerng Mem N 28 February 0 979 SUGGESTONS FOR THE DEFORMABLE SUBREFLECTOR Sebastan vn Herner Observatns wth the present expermental versn (Engneerng Dv nternal Reprt 09 July 978) have shwn that a defrmable

More information

LaPlace Transforms in Design and Analysis of Circuits Part 2: Basic Series Circuit Analysis

LaPlace Transforms in Design and Analysis of Circuits Part 2: Basic Series Circuit Analysis LaPlace Tranfrm in Deign and Analyi f Circuit Part : Baic Serie Circuit Analyi Cure N: E- Credit: PDH Thma G. Bertenhaw, Ed.D., P.E. Cntinuing Educatin and Develpment, Inc. 9 Greyridge Farm Curt Stny Pint,

More information

Chapter 8. Root Locus Techniques

Chapter 8. Root Locus Techniques Chapter 8 Rt Lcu Technique Intrductin Sytem perfrmance and tability dt determined dby cled-lp l ple Typical cled-lp feedback cntrl ytem G Open-lp TF KG H Zer -, - Ple 0, -, -4 K 4 Lcatin f ple eaily fund

More information

6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS

6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS 6. ELUTRIATION OF PARTICLES FROM FLUIDIZED BEDS Elutratn s the prcess n whch fne partcles are carred ut f a fludzed bed due t the flud flw rate passng thrugh the bed. Typcally, fne partcles are elutrated

More information

Lecture 13 - Boost DC-DC Converters. Step-Up or Boost converters deliver DC power from a lower voltage DC level (V d ) to a higher load voltage V o.

Lecture 13 - Boost DC-DC Converters. Step-Up or Boost converters deliver DC power from a lower voltage DC level (V d ) to a higher load voltage V o. ecture 13 - Bt C-C Cnverter Pwer Electrnic Step-Up r Bt cnverter eliver C pwer frm a lwer vltage C level ( ) t a higher la vltage. i i i + v i c T C (a) + R (a) v 0 0 i 0 R1 t n t ff + t T i n T t ff =

More information

Conservation of Momentum

Conservation of Momentum Cnervatin f Mmentum PES 1150 Prelab Quetin Name: Lab Statin: 003 ** Diclaimer: Thi re-lab i nt t be cied, in whle r in art, unle a rer reference i made a t the urce. (It i trngly recmmended that yu ue

More information

Section 10 Regression with Stochastic Regressors

Section 10 Regression with Stochastic Regressors Sectn 10 Regressn wth Stchastc Regressrs Meanng f randm regressrs Untl nw, we have assumed (aganst all reasn) that the values f x have been cntrlled by the expermenter. Ecnmsts almst never actually cntrl

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

Regression with Stochastic Regressors

Regression with Stochastic Regressors Sectn 9 Regressn wth Stchastc Regressrs Meanng f randm regressrs Untl nw, we have assumed (aganst all reasn) that the values f x have been cntrlled by the expermenter. Ecnmsts almst never actually cntrl

More information

Lecture 12. Heat Exchangers. Heat Exchangers Chee 318 1

Lecture 12. Heat Exchangers. Heat Exchangers Chee 318 1 Lecture 2 Heat Exchangers Heat Exchangers Chee 38 Heat Exchangers A heat exchanger s used t exchange heat between tw fluds f dfferent temperatures whch are separated by a sld wall. Heat exchangers are

More information

Circuit Theorems. Introduction

Circuit Theorems. Introduction //5 Crcut eorem ntroducton nearty Property uperpoton ource Tranformaton eenn eorem orton eorem Maxmum Power Tranfer ummary ntroducton To deelop analy technque applcable to lnear crcut. To mplfy crcut analy

More information

SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES

SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES SIMULATION OF THREE PHASE THREE LEG TRANSFORMER BEHAVIOR UNDER DIFFERENT VOLTAGE SAG TYPES Mhammadreza Dlatan Alreza Jallan Department f Electrcal Engneerng, Iran Unversty f scence & Technlgy (IUST) e-mal:

More information

NONISOTHERMAL OPERATION OF IDEAL REACTORS Plug Flow Reactor. F j. T mo Assumptions:

NONISOTHERMAL OPERATION OF IDEAL REACTORS Plug Flow Reactor. F j. T mo Assumptions: NONISOTHERMAL OPERATION OF IDEAL REACTORS Plug Flw Reactr T T T T F j, Q F j T m,q m T m T m T m Aumptin: 1. Hmgeneu Sytem 2. Single Reactin 3. Steady State Tw type f prblem: 1. Given deired prductin rate,

More information

Averaged Modeling of Non-ideal Boost Converter Operating in DCM

Averaged Modeling of Non-ideal Boost Converter Operating in DCM Internatnal Jurnal f Cmputer and lectrcal ngneerng l.3 N. February 793-863 Averaged Mdelng f Nn-deal Bt Cnverter Operatng n DCM Guang-jun Xe Senr Member IACSI Xuan Zha Ha-bn Fang and Hu-fang Xu Abtract

More information

The metal-oxide-semiconductor field-effect transistor consists of two p-n junctions either side of a MOS diode which acts as the gate.

The metal-oxide-semiconductor field-effect transistor consists of two p-n junctions either side of a MOS diode which acts as the gate. Intructn The metal-xe-emcnuctr fel-effect trantr cnt f tw -n junctn ether e f a MOS e whch act a the gate. MOSFET evce make u arun 90% f the electrnc nutry ue t ther lw wer an ther mall ze (cmare wth blar

More information

Differentiation Applications 1: Related Rates

Differentiation Applications 1: Related Rates Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm

More information

Bipolar-Junction (BJT) transistors

Bipolar-Junction (BJT) transistors Bplar-Junctn (BJT) transstrs References: Hayes & Hrwtz (pp 84-4), Rzzn (chapters 8 & 9) A bplar junctn transstr s frmed by jnng three sectns f semcnductrs wth alternately dfferent dpngs. The mddle sectn

More information

Conduction Heat Transfer

Conduction Heat Transfer Cnductn Heat Transfer Practce prblems A steel ppe f cnductvty 5 W/m-K has nsde and utsde surface temperature f C and 6 C respectvely Fnd the heat flw rate per unt ppe length and flux per unt nsde and per

More information

PT326 PROCESS TRAINER

PT326 PROCESS TRAINER PT326 PROCESS TRAINER 1. Descrptn f the Apparatus PT 326 Prcess Traner The PT 326 Prcess Traner mdels cmmn ndustral stuatns n whch temperature cntrl s requred n the presence f transprt delays and transfer

More information

Activity Guide Loops and Random Numbers

Activity Guide Loops and Random Numbers Unit 3 Lessn 7 Name(s) Perid Date Activity Guide Lps and Randm Numbers CS Cntent Lps are a relatively straightfrward idea in prgramming - yu want a certain chunk f cde t run repeatedly - but it takes a

More information

Nonisothermal Chemical Reactors

Nonisothermal Chemical Reactors he 471 Fall 2014 LEUE 7a Nnithermal hemical eactr S far we have dealt with ithermal chemical reactr and were able, by ug nly a many pecie ma balance a there are dependent react t relate reactr ize, let

More information

Copyright Paul Tobin 63

Copyright Paul Tobin 63 DT, Kevin t. lectric Circuit Thery DT87/ Tw-Prt netwrk parameters ummary We have seen previusly that a tw-prt netwrk has a pair f input terminals and a pair f utput terminals figure. These circuits were

More information

NUMBERS, MATHEMATICS AND EQUATIONS

NUMBERS, MATHEMATICS AND EQUATIONS AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t

More information

ANALOG ELECTRONICS 1 DR NORLAILI MOHD NOH

ANALOG ELECTRONICS 1 DR NORLAILI MOHD NOH 24 ANALOG LTRONIS TUTORIAL DR NORLAILI MOHD NOH . 0 8kΩ Gen, Y β β 00 T F 26, 00 0.7 (a)deterne the dc ltages at the 3 X ternals f the JT (,, ). 0kΩ Z (b) Deterne g,r π and r? (c) Deterne the ltage gan

More information

Transient Conduction: Spatial Effects and the Role of Analytical Solutions

Transient Conduction: Spatial Effects and the Role of Analytical Solutions Transent Cnductn: Spatal Effects and the Rle f Analytcal Slutns Slutn t the Heat Equatn fr a Plane Wall wth Symmetrcal Cnvectn Cndtns If the lumped capactance apprxmatn can nt be made, cnsderatn must be

More information

Chapter 3. Electric Flux Density, Gauss s Law and Divergence

Chapter 3. Electric Flux Density, Gauss s Law and Divergence Chapter 3. Electric Flu Denity, Gau aw and Diergence Hayt; 9/7/009; 3-1 3.1 Electric Flu Denity Faraday Eperiment Cncentric phere filled with dielectric material. + i gien t the inner phere. - i induced

More information

CHAPTER 2 Algebraic Expressions and Fundamental Operations

CHAPTER 2 Algebraic Expressions and Fundamental Operations CHAPTER Algebraic Expressins and Fundamental Operatins OBJECTIVES: 1. Algebraic Expressins. Terms. Degree. Gruping 5. Additin 6. Subtractin 7. Multiplicatin 8. Divisin Algebraic Expressin An algebraic

More information

Chapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder

Chapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder S-. The Method of Steepet cent Chapter. Supplemental Text Materal The method of teepet acent can be derved a follow. Suppoe that we have ft a frtorder model y = β + β x and we wh to ue th model to determne

More information

THE LIFE OF AN OBJECT IT SYSTEMS

THE LIFE OF AN OBJECT IT SYSTEMS THE LIFE OF AN OBJECT IT SYSTEMS Persns, bjects, r cncepts frm the real wrld, which we mdel as bjects in the IT system, have "lives". Actually, they have tw lives; the riginal in the real wrld has a life,

More information

Chapter 9. Design via Root Locus

Chapter 9. Design via Root Locus Chapter 9 Deign via Rt Lcu Intrductin Sytem perfrmance pecificatin requirement imped n the cntrl ytem Stability Tranient repne requirement: maximum verht, ettling time Steady-tate requirement :.. errr

More information

III. Operational Amplifiers

III. Operational Amplifiers III. Operatnal Amplfers Amplfers are tw-prt netwrks n whch the utput vltage r current s drectly prprtnal t ether nput vltage r current. Fur dfferent knds f amplfers ext: ltage amplfer: Current amplfer:

More information

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law

Section 5.8 Notes Page Exponential Growth and Decay Models; Newton s Law Sectin 5.8 Ntes Page 1 5.8 Expnential Grwth and Decay Mdels; Newtn s Law There are many applicatins t expnential functins that we will fcus n in this sectin. First let s lk at the expnential mdel. Expnential

More information

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b . REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but

More information

Module B3. VLoad = = V S V LN

Module B3. VLoad = = V S V LN Mdule B Prblem The -hase lads are cnnected n arallel. One s a urely resste lad cnnected n wye. t cnsumes 00kW. The secnd s a urely nducte 00kR lad cnnected n wye. The thrd s a urely caacte 00kR lad cnnected

More information

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic. Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage

More information

Scattering of two identical particles in the center-of. of-mass frame. (b)

Scattering of two identical particles in the center-of. of-mass frame. (b) Lecture # November 5 Scatterng of two dentcal partcle Relatvtc Quantum Mechanc: The Klen-Gordon equaton Interpretaton of the Klen-Gordon equaton The Drac equaton Drac repreentaton for the matrce α and

More information

, which yields. where z1. and z2

, which yields. where z1. and z2 The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin

More information

Reproducing kernel Hilbert spaces. Nuno Vasconcelos ECE Department, UCSD

Reproducing kernel Hilbert spaces. Nuno Vasconcelos ECE Department, UCSD Reprucng ernel Hlbert spaces Nun Vascncels ECE Department UCSD Classfcatn a classfcatn prblem has tw tpes f varables X -vectr f bservatns features n the wrl Y - state class f the wrl Perceptrn: classfer

More information

CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS

CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS 103 Phy 1 9.1 Lnear Momentum The prncple o energy conervaton can be ued to olve problem that are harder to olve jut ung Newton law. It ued to decrbe moton

More information

Supplementary Course Notes Adding and Subtracting AC Voltages and Currents

Supplementary Course Notes Adding and Subtracting AC Voltages and Currents Supplementary Curse Ntes Adding and Subtracting AC Vltages and Currents As mentined previusly, when cmbining DC vltages r currents, we nly need t knw the plarity (vltage) and directin (current). In the

More information

Chem 204A, Fall 2004, Mid-term (II)

Chem 204A, Fall 2004, Mid-term (II) Frst tw letters f yur last name Last ame Frst ame McGll ID Chem 204A, Fall 2004, Md-term (II) Read these nstructns carefully befre yu start tal me: 2 hurs 50 mnutes (6:05 PM 8:55 PM) 1. hs exam has ttal

More information

Root Locus Techniques

Root Locus Techniques Root Locu Technque ELEC 32 Cloed-Loop Control The control nput u t ynthezed baed on the a pror knowledge of the ytem plant, the reference nput r t, and the error gnal, e t The control ytem meaure the output,

More information

Variable Structure Control ~ Basics

Variable Structure Control ~ Basics Varable Structure Control ~ Bac Harry G. Kwatny Department of Mechancal Engneerng & Mechanc Drexel Unverty Outlne A prelmnary example VS ytem, ldng mode, reachng Bac of dcontnuou ytem Example: underea

More information

Relationships Between Frequency, Capacitance, Inductance and Reactance.

Relationships Between Frequency, Capacitance, Inductance and Reactance. P Physics Relatinships between f,, and. Relatinships Between Frequency, apacitance, nductance and Reactance. Purpse: T experimentally verify the relatinships between f, and. The data cllected will lead

More information

CHM112 Lab Graphing with Excel Grading Rubric

CHM112 Lab Graphing with Excel Grading Rubric Name CHM112 Lab Graphing with Excel Grading Rubric Criteria Pints pssible Pints earned Graphs crrectly pltted and adhere t all guidelines (including descriptive title, prperly frmatted axes, trendline

More information

Exploiting vector space properties for the global optimization of process networks

Exploiting vector space properties for the global optimization of process networks Exptng vectr space prpertes fr the gbal ptmzatn f prcess netwrks Juan ab Ruz Ignac Grssmann Enterprse Wde Optmzatn Meetng March 00 Mtvatn - The ptmzatn f prcess netwrks s ne f the mst frequent prblems

More information

FEEDBACK AMPLIFIERS. β f

FEEDBACK AMPLIFIERS. β f FEEDBC MPLFES X - X X X * What negatve eedback? ddng the eedback gnal t the nput a t patally cancel the nput gnal t the ample. * What eedback? Takng a ptn the gnal avng at the lad and eedng t back t the

More information

Experiment #3. Graphing with Excel

Experiment #3. Graphing with Excel Experiment #3. Graphing with Excel Study the "Graphing with Excel" instructins that have been prvided. Additinal help with learning t use Excel can be fund n several web sites, including http://www.ncsu.edu/labwrite/res/gt/gt-

More information

t r m o o H Is The Sensitive Information Of Your Company Completely Secure?

t r m o o H Is The Sensitive Information Of Your Company Completely Secure? : n t a c f t r e C 1 0 0 7 l 2 l O W S I y n a p m C r u Y w H t f e n e B Cyber crmnals are fndng ncreasngly clever ways every day t be able t peek ver yur shulder, and wth ths llegal ndustry beng an

More information

Five Whys How To Do It Better

Five Whys How To Do It Better Five Whys Definitin. As explained in the previus article, we define rt cause as simply the uncvering f hw the current prblem came int being. Fr a simple causal chain, it is the entire chain. Fr a cmplex

More information

A BAND SELECTION METHOD FOR HIGH PRECISION REGISTRATION OF HYPERSPECTRAL IMAGE. Han Yang 1, Xiaorun Li *1

A BAND SELECTION METHOD FOR HIGH PRECISION REGISTRATION OF HYPERSPECTRAL IMAGE. Han Yang 1, Xiaorun Li *1 A BAND SEECION MEHOD FOR HIGH PRECISION REGISRAION OF HYPERSPECRA IMAGE Han Yang, Xarun * Cllege f Electrcal Engneerng, Zhejang Unverty, Hangzhu 3007, Chna - lxrly@zju.edu.cn KEY WORDS: Hyperpectral Image,

More information

Physic 231 Lecture 33

Physic 231 Lecture 33 Physc 231 Lecture 33 Man pnts f tday s lecture: eat and heat capacty: Q cm Phase transtns and latent heat: Q Lm ( ) eat flw Q k 2 1 t L Examples f heat cnductvty, R values fr nsulatrs Cnvectn R L / k Radatn

More information

The Operational Amplifier and Application

The Operational Amplifier and Application Intrductn t Electrnc Crcuts: A Desgn Apprach Jse Sla-Martnez and Marn Onabaj The Operatnal Amplfer and Applcatn The peratnal ltage amplfer (mre cmmnly referred t as peratnal amplfer) s ne f the mst useful

More information

Approach: (Equilibrium) TD analysis, i.e., conservation eqns., state equations Issues: how to deal with

Approach: (Equilibrium) TD analysis, i.e., conservation eqns., state equations Issues: how to deal with Schl f Aerspace Chemcal D: Mtvatn Prevus D Analyss cnsdered systems where cmpstn f flud was frzen fxed chemcal cmpstn Chemcally eactng Flw but there are numerus stuatns n prpulsn systems where chemcal

More information