An Approach to the Performance-Oriented Model of Variable-Speed Wind Turbines

Size: px
Start display at page:

Download "An Approach to the Performance-Oriented Model of Variable-Speed Wind Turbines"

Transcription

1 An Approach o h Prformanc-Ornd Modl of Varabl-Spd Wnd Trbn Aljandro Rolán, Sdn Mmbr, IEEE, Álvaro na, oan Rocabr, Sdn Mmbr, IEEE, anl Alar, and Grardo Vázqz, Sdn Mmbr, IEEE Elcrcal parmn of Ennrn Tchncal Unvry of Caalona Colom - 08-Trraa, Span Conac Ahor: aljandro.rolan@pc.d Abrac- Th am of h ork o v an approach o h Prformanc-Ornd Modl of Varabl-Spd Wnd rbn (VSWT) qppd h prmann man ynchrono nraor (PMSG), and compar o h componn-ornd modl. In h prn ork ll b analyzd ho a chan n h nd pd affc h por dlvrd from h nraor by man of o approach: frly, h componn-ornd modl of h VSWT-bad PMSG vn,.. h dynamc qaon of h ym ar hon, and hn, dcd ho o oban an qvaln ranfr fncon of h hol ym. A comparon bn boh approach dcd n h ork. I. INTROUCTION Alhoh h lzaon of nd nry ha a vry lon radon, a no nl h nd of h 990 ha nd nry bcam on of h mo mporan anabl nry rorc, parly bca of h ncran prc of h ol, cry concrn of nclar por and abov all aarn abo h clma chan. Th la on of h man raon ha hav lad o a fll rarch no rnal nry orc o provd h lcrcy dmand arond h orld. Morovr, a nd nry abndan and ha an nxhabl ponal, on of h b chnolo oday o provd a anabl pply o h orld dvlon. Th of nd por ha roh condrably drn la yar. By h nd of 996 h oal capacy of nd por a arond 6 GW, hra n 008 rprnd mor han 0 GW, prodcn 4 TWh of lcrcy []. I v an da of h mporanc ha h rnal nry ha noaday. Th fr p o dy h nraon of nd nry no h lcrcal rd o modl h hol ym proprly and mla. Noaday hr x vral por ym mlaon ool,.. PSS/E, SIENT, SABER or PSCA/EMTC (n h prn ork h mlaon ha bn carrd o va PSCA/EMTC mlaon ool). A comparon bn h la o mlaon ool don n []. Th ool ncld bl-n modl of h dffrn componn of a nd por plan, hch ar convnn for load flo and dynamc mlaon of por ym. Hovr, ncary o dvlop nd rbn and nd por plan modl o analyz h nrconncon of h ym o h lcrcal rd. pndn on h m fram of h mlaon, hch drmnd by h prpo of h mlaon, h lvl of h dal of h modl var [3]. A a rl, h m cal of h mlaon ll b from f mllcond o vral mn. Wh h ypcal m fram d n lar por ym ably d, hch approxmaly 0. [4], no praccal o modl a nd rbn or a nd por plan ha rqr a vry mall m p. Normally, hn h complxy of h modl ncra, ncary a mallr nraon m. Takn no accon h obrvaon, a prformanc-ornd modl [5] for a nd rbn ha bn propod a an alrnav o a componn-ornd modl. Th approach rqr a dald knold of h WTGS a ll a h por ym analy o b carrd o. For h raon, bfor dvlopn h prformanc ornd modl of h nd rbn, ncary o dcrb h componn ornd modl of h WTGS. Th ork foc on h modl of VSWT qppd h PMSG bca h mo promn opon for h lcrcy pply a far a nd nry concrnd. In fac, PMSG hav h ndn xcd by man of prmann man locad on h roor, mann hhr ffcncy and l mannanc. Wha mor, ml-pol PMSG can b d ho a arbox, hch mpl a rdcon of h h of h nacll a ll a a rdcon n co. Th roor arodynamc, drv ran and nraor and conrol ll b modlld, hra h nraon of h ym o h lcrcal rd ll no b condrd. A comparon bn h componn-ornd modl and h prformanc-ornd don n h papr. II. SYSTEM ESCRIPTION Th ym analyzd a VSWT bad on a ml-pol PMSG, dpcd n F.. o h lo nraor pd, h roor haf copld drcly o h nraor, hch man ha no arbox ndd /0/$ IEEE 3853

2 ym of a nd rbn, namly h blad lmn mhod, c p lookp abl, nd pd-mchancal por lookp abl and analycal calclaon []. In h ork, h la approach akn no accon. Th da o approxma h c p (λ, θ) characrc by h follon form F.. Elcrcal chm of a varabl pd nd rbn qppd h a PMSG. Th nraor conncd o h rd va a back-o-back convrr, hch con of o convnonal pl-dh modlad (PWM) vola orc convrr (VSC). Th capacor bn h nvrr and rcfr prm o dcopl h conrol of h o nvrr. Th nraor-d convrr conrolld o rla h nraor pd and h acv por ppld by h nraor [6][7], hra h oal of h rd-d convrr o conrol h racv por njcon o h rd [8][9]. Th crrn flrd bfor bn ppld o h rd (harmonc m b rdcd) and a ranformr, hch locad bn h nvrr and h pon of common conncon (PCC) ra h vola n ordr o avod lo n h ranpor of h crrn. I hold b nod ha h dy ddcad o modl and mla h ym from h nd rbn o h PMSG (h h conrol of nraor-d convrr). For h raon, dclnk, ranformr, rd, rcfr, nvrr modl and conrol a ll a pch anl conrol ll no b condrd. III. THE COMPONENT-ORIENTE MOE Th dynamc qaon ha dcrb h modl of h ach par of h ym ar dcrbd blo.. Wnd Spd Modl A compl pd modl con of h m of for componn (conan, ramp, and no) [0]. Hovr, ally akn no accon a p chan n h nd pd n ordr o analyz f h ym bhav proprly d o h chan.. Arodynamc Modl Th arodynamc modl vry ll docmnd n h lrar. For xampl, n [] on can fnd ha h rlaon bn h por xracd from h nd and h nd pd, hch knon a h roor arodynamc P 3 cp Av () hr P h por xracd from h nd (W), ρ h ar dny, hch qal o.5 k/m 3 a a lvl a mprar T = 88 K, c P h por coffcn, v h nd pd pram of h roor (m/) and A h ara p by h roor [m ] (A=πR, bn R h rad of h blad n m). Thr ar for alrnav for modlln h arodynamc c6 x c p (, ) cc c3 c4 c5 () Snc h fncon dpnd on h nd rbn roor yp, h coffcn c -c 6 and x can b dffrn for varo WTGS. Th propod coffcn [] ar: c = 0.5, c = 6, c 3 = 0.4, c 4 = 0, c 5 = 5, c 6 = (x no d bca c 4 = 0). Addonally, h paramr β alo dfnd n varo ay. For xampl, h paramr β n [] dfnd a Whr θ h pch anl (rad), hch h anl bn h plan of roaon and h blad cro-con chord, and h p-pd rao λ dfnd a R (3) (4) v hr ω h anlar vlocy of roor (rad/), R h roor rad (m) and v h nd pd pram of h roor (m/). An xampl of h c p (λ, θ) characrc compd akn no accon (-4) and h abov paramr c - c 6 for a vn roor damr R, roor pd ω and for dffrn val of blad pch anl θ prnd n F.. Th amon of arodynamc orq (τ ) n N m vn by h rao bn h por xracd from h nd (P ), n W, and h rbn roor pd (ω ), n rad/, a follo F.. c p crv for dffrn pch anl. P (5) 3854

3 3. rv Tran Modl A drv ran of a WTGS can b n a a ml-ma ym, conn of 6-ma, 3-ma, -ma or nl-ma modl []. Th 6-ma modl ha x nra, namly hr blad nra, hb nra, arbox nra and nraor nra. Th 3-ma modl con of hr nra, hch ncld h nraor roor, h rbn hb and h blad. In h -ma modl, h drv ran modlld a o nra, corrpondn o ho of rbn and nraor. If a 6-ma or 3-ma modl lzd, h complxy of h modl ncra, hch no drd n por ym ably d. In fac, only h lor frqncy of nr n ch a dy. A concldd n [] a o-ma modl ffcn for rprnn h dynamc of a rbn drv-ran for a por ym ably analy. F. 3 ho a chm of a mchancal drv ran, conn of o ma. I can b obrvd h prnc of hr dampn componn, namly rbn lf dampn (rprnn h arodynamc ranc akn plac n h blad), nraor lf dampn (hch corrpond o mchancal frcon and nda) and dampn coffcn of h haf (rprnn h dynamc ha occr bca of h dffrn pd bn h nraor roor and h rbn haf). All of dampn coffcn ar mard n N m /rad. F. 3. Schm of a o-ma drv ran. Th mahmacal qaon of a o-ma drv ran modl, nlcn h rbn and h nraor lf dampn, ar vn by [3] d K d d K d d d d d hr and ar h rbn and h nraor nra conan (boh n k m ), rpcvly; K h haf ffn (N m/rad); ω and ω ar h rbn and h nraor roor pd (rad/), rpcvly; τ and τ ar h orq prodcd (6) by h roor and h nraor on h lo pd and hh pd haf (N m), rpcvly; and θ and θ dno h rbn and h nraor roor anl (rad), rpcvly. I hold b nod ha all rm ar rfrrd o h hh pd haf (h rm ar dnod h h prcrp ). In h ca, h follon ranformaon ar d [3] n n ar ar ; ; n ar n K ; K nar ; n hr n ar h arbox rao. If h haf ffn and mal dampn ar nlcd, h on-ma modl of h drv ran oband. In h ca, hr only a nl nra, rprnn h m of h rbn and nraor nra. Th mahmacal qaon of h on-ma modl of h drv ran [4]: n ar d d ar I hold b nod ha h o-ma modl ak no accon h pd and por flcaon ha appar hn non-normal condon ak plac. 4. Gnraor Modl Th la componn ha on o b modlld h nraor, pcfcally h prmann man ynchrono nraor (PMSG). Whn drd o oban a dynamc modl of a PMSG on m ak no accon ha only h lcrcal qaon of h aor ar condrd (bca n h roor hr ar no ndn). I rl n a ym of hr qaon, nlk h ond roor hr-pha ynchrono machn, n hch for qaon ar ndd o b d. Hovr, dp h rdcon n h nmbr of qaon, hold b nod ha old b vry dffcl o ork h h lcrcal qaon of h PMSG n h ac abc rfrnc-fram, bca h qaon old dpnd on h mchancal anl θ (hch h anl bn h roor poon n an nan of m and h a-ax), rqrn a ra dal of mlaon m [5]. In ordr o avod h problm, h qaon ar ranformd from a ac hr-pha rfrnc fram o a o-pha roan rfrnc fram, by man of h Park ranformaon [5][6]. Thn, h dynamc modl of h PMSG drvd from h o-pha roan rfrnc fram, n hch h d-ax alnd h h vcor of h flx prodcd by h prmann man and h q-ax 90º ahad of h d-ax h rpc o h drcon of roaon, a F. 4 dpc. Th rfrnc fram cold b namd roor-ornd rfrnc fram, bca h flx crad by h prmann man roa a h am pd han ha of h roor. ar (7) (8) 3855

4 To compl h mahmacal modl of h PMSG h mchancal qaon ndd, and dcrbd by h follon lcromanc orq τ qaon [5]:.5 p[( ) ] () d q d q q A ad bfor, h PMSG amd o b a rond-roor machn, o ndcanc n d- and q-ax hav xacly h am val ( d = q = ). Takn no accon h mplfcaon, h lcrcal qaon (9), rn n h ady-a form [8], and h mchancal qaon () can b rn a follo F. 4. Schm of a PMSG, h abc-ac rfrnc fram and dq-roan rfrnc fram. Th mahmacal modl of h PMSG bad on h follon ampon [5][6][7]: h roor ha no dampr ndn; h machn ymmrc (hr x a paraon of 0º bn h aor ndn and hy hav h am ndcanc); hr no laka flx n h aor ndn, o h laka ndcanc of h ndn condrd o b zro; h manc fld ha a nodal drbon alon h ar ap; hr a conan ar ap (d o h fac ha h prmann man ar locad a h rfac of h roor, o bhav a a rond-roor machn); manc hyr and araon ffc ar nlbl (h manc characrc of h ron condrd o b lnal); h manc prmably of h ron vry hh, hch man ha h manc rlcanc nlbl compard o ha of h ar ap. Takn no accon h mplfcaon and condrn h roor-ornd rfrnc fram, h mahmacal modl of h PMSG can b xprd by h follon qaon [5]: d q r r d q d q d d d d d q q d q d hr bcrp d and q rfr o h phycal qan ha hav bn ranformd no h dq-roan rfrnc fram; d and q ar h aor vola (V); d and q ar h aor crrn (A); r h aor ranc (Ω), d and q ar h aor ndcanc (H) n h d and q ax, rpcvly; Ψ h prmann manc flx (Wb); and ω h lcrcal roan pd of h nraor (rad/), hch vn by: (9) p (0) hr p h nmbr of pol par of h nraor and ω h roaonal pd of h roor (rad/). d d d d d q.5 p q r r d q q d d q () Th acv por P n (W) and racv por Q n (VAr) of h PMSG ar [5]: P Q n n.5.5 d q d d IV. THE PERFORMANCE-ORIENTE MOE q d d q (3) Th prformanc-ornd [5] ha arn a an alrnav o h componn-ornd modl n ordr o rdc h complxy of h modl by rdcn h nraon m of h mlaon, hch ally n h ran from o 0 mllcond. Th da o rprn h nd rbn a a crrn orc, hch dpnd on varo paramr (nd pd, mchancal paramr, c.). Th modl bacally con of a of ranfr fncon characrzn h nd rbn prformanc. Th fnal modl ll con on a nq ranfr fncon ha bhav a f r a WTGS. In fac, a nd rbn can b dcrbd h a cond ordr qvaln ranfr fncon [9], akn no accon dffrn mplfcaon. In [0] prnd a mplfcaon of h WTGS by obann a mplfd qvaln modl for boh h acv and racv por bhavor, onc h prformanc of h nd rbn ha bn analyzd. Th mplfcaon ha hav o b appld n ordr o oban a prformanc-ornd modl of h WTGS ar a follo [5][0]: nd pd amd conan; varablpd opraon n carrd o hn procon n; dcopln bn por and pd,.. pch anl conrol arodynamc rprnaon and mchancal par can b nlcd; h nraor dynamc nlcd, o can b rprnd a a lnar an (for por ym ably, h fa aor flx rann of h nraor no condrd): n 3856

5 [], h nraor and convrr ar mply rprnd a an albrac xpron ha bjcd o por lmaon drn a fal vn; nc h nraor dynamc nlcd, h dynamc rpon vn by h rpon of h por convrr, hch can b rad a conrolld crrn orc; h procon mplfd o V/f procon n. All h ampon lad o a noabl rdcon n h complxy of h ym. Tabl I [5] ho h dffrnc bn h componn-ornd modl and h prformancornd modl. TABE I IFFERENCES BETWEEN PERFORMANCE MOE AN COMPONENT MOE Far Componn modl Prformanc modl Gnraor ynamc modl nar an Pch Pch conrol No ncldd qaon (-5). I hold b nod from ha qaon ha h arodynamc orq rman n a conan val provdd ha h nd pd do no chan. So, a p chan n nd pd man a p chan n arodynamc orq, hch mpl a chan n acv nrad por by man of h nral ranfr fncon of h ym (h np h nd pd, hra h op h arodynamc orq). 7. rv Tran Tranfr Fncon Takn no accon ha h -ma modl drv ran qaon (6) ar lnar qaon, hy can b xprd n h follon form A C B (4) hr A, B, C and ar h follon ranfr fncon Mchancal ym Procon Conrol Paramr con -ma non-lnar modl Vola, frqncy, ovr crrn and ovr pd Por conrollr and nnr crrn loop daa pon n look p abl for arodynamc Inrnal a 6 Tm p lmaon -ma lnarzd modl Vola and frqncy Por conrollr 37 < m -0 m A B C K K K K K K K K (5) I can b n ha condrn h prformanc-ornd modl, nfcan rdcon n modl complxy achvd. Hovr rqr an ndrandn of h opraon of h hol modl, a ll a h nd o kno h corrc daa. Anyay, h mlaon m rdcd condrably. 5. Tranfr Fncon of h VSWT Th ranfr fncon of h hol ym an n-ordr fncon n hch h np val h arodynamc orq and h op val h acv por dlvrd by h nraor. F. 5 ho h concp. Th ranfr fncon h rl of opran h h ranfr fncon of h dffrn par of h ym, hch ll b dcrbd blo. τ H () F. 5. Wnd rbn xprd a a ranfr fncon. P n 6. Wnd Spd and Arodynamc Tranfr Fncon Thr ar no ranfr fncon rlad o nd pd and arodynamc bca hr no dynamc n h rpcv hr (6) A can b n, h -ma modl drv ran can b condrd a for ranfr fncon, hch man ha hr ar o np (orq) and o op (pd). 8. PMSG Tranfr Fncon Th PMSG can b xprd a a ranfr fncon n hch h np h nraor pd and h op h acv por dlvrd o h rd. In ordr o oban h qvaln ranfr fncon of h PMSG, on m play h h qaon () and (3), obann h xpron ha ar ld blo. Nx, by combnn h qaon ohr h (4-6) pobl o oban h qvaln ranfr fncon of h VSWT-bad PMSG,.. h prformanc ornd modl. d d r q (7) 3857

6 P q.5 p n.5 p.5.5 q d r d q r r r d r r r d d d d q d q r r r d r r r q q d r q r.5 r r q d r q r r r d r V. CONCUSIONS (8) (9) (0) Th qaon ha xplan h bhavor of a varablpd nd rbn-bad prmann man ynchrono nraor hav bn prnd (h approach namd h componn-ornd modl). Th prformanc-ornd modl ha bn commnd by man of h ranfr fncon of h bym n hch a nd rbn con. Th da of h approach o rprn h nd rbn a a crrn orc, hch dpnd on varo paramr. Th modl con of a of ranfr fncon characrzn h nd rbn prformanc. p h complxy hon by h qaon hold b nod ha h dynamc ha hy ho ar h am a h on prnd by h dynamc modl. Th da o mplfy h ranfr fncon and o oban an qvaln ranfr fncon ha bhav a f r a nd rbn. ACKNOWEGMENT Th rarch ork ha bn dvlopd ndr h ran ENE C04-03/AT from h Spanh Mnry of Scnc and Tchnoloy. REFERENCES [] Global Wnd 008 Rpor, Global Wnd Enry Concl (GWEC), Tch. Rp., March 009. Avalabl: hp://.c.n/ []. A. Fn, A. Molna, F. Rz, E. Gómz, and F. ménz, Wnd Trbn Modln: Comparon of Advancd Tool for Trann Analy, IEEE Por Ennrn Socy Gnral Mn, Tampa, Florda, n 007, pp. -6. [3]. O. Tand, Grd Inraon of Wnd Farm, Wnd Enry, vol. 6, no. 3, pp. 8-95, n 003. [4] M. Cro and. Chn, Th Mlra Mhod for Smlaon of Por Sym ynamc, IEEE Tranacon on Por Sym, vol. 9, no. 3, pp , A 994. [5] P. Nln, G. K. Andrn, K.. Hamann, K. Ska, and. Bch, A Prformanc Ornd Wnd Trbn Modl for Grd Sably Sd, h Eropan Confrnc on Por Elcronc and Applcaon (EPE), Aalbor, nmark, Spmbr 007, pp. -0. [6] M. Chnchlla, S. Arnal, and. Bro, Conrol of Prmann- Man Gnraor Appld o Varabl-Spd Wnd-Enry Sym Conncd o h Grd, IEEE Tranacon on Enry Convron, vol., no., pp , March 006. [7] G. Ramharan, N. nkn, and O. Anaya-ara, Modlln and Conrol of Synchrono Gnraor for Wd-ran Varabl-pd Wnd Trbn, Wnd Enry, vol. 0, no. 3, pp. 3-46, March 007. [8] A.. Hann and G. Mchalk, Modlln and Conrol of Varabl- Spd Ml-pol Prmann Man Synchrono Gnraor Wnd Trbn, Wnd Enry, vol, no. 5, pp , May 008. [9] S. Achll and M. Pöllr, rc rv Synchrono Machn Modl for Sably Amn of Wnd Farm, 4h Inrnaonal Workhop on ar-cal Inraon of Wnd Por and Tranmon Nork for Offhor Wnd Farm, Bllnd, nmark, Ocobr 003, pp. -9. [0] P. M. Andron and A. Bo. Sably Smlaon of Wnd Trbn Sym, IEEE Tranacon on Por Appara and Sym, vol. PAS-0, no., cmbr 983. [] S. Hr, Grd Inraon of Wnd Enry Convron Sym. nd Ed. Chchr: ohn Wly & Son, 006. [] S. M. Myn, Md. H. Al, R. Takahah, T. Mraa,. Tamra, Y. Tomak, A. Sakahara, and E. Saano, Comparav dy on rann ably analy of nd rbn nraor ym n dffrn drv ran modl, IET Rnabl Por Gnraon, vol., no., pp. 3-4, n 007. [3] G. Mchalk, Varabl Spd Wnd rbn Modlln, Conrol, and Impac on Por Sym, Ph.. Th, p. Rn. Enr., Tchnch Unvrä armad, armad, Grmany, Aprl 008. [4] A. Prdana, ynamc Modl of Wnd Trbn, Ph.. Th, p. Enr. And Env., Chalmr Unvry of Tchnoloy, Göbor, Sdn, 008. [5] C. Kra, Analy of Elcrc Machnry and rv Sym. nd Ed. N York: Wly-Inrcnc, 00. [6] P. Kndr, Por Sym Sably and Conrol. N York: McGra-Hll, 994. [7]. G. Sloo, S. W. H. d Haan, H. Polndr, and W.. Kln, Gnral Modl for Rprnn Varabl Spd Wnd Trbn n Por Sym ynamc Smlaon, IEEE Tranacon on Por Sym, vol. 8, no., pp. 44-5, Fbrary 003. [8] A. Rolán, A. na, G. Vázqz,. Alar and G. Azvdo, Modln of a Varabl Spd Wnd Trbn h a Prmann Man Synchrono Gnraor, IEEE Inrnaonal Sympom on Indral Elcronc (ISIE), Sol, Kora, ly 009, pp [9] C. ach and S. M. Ilam, Idnfcaon of a Rdcd Ordr Wnd Trbn Tranfr Fncon from h Trbn Sp Rpon, Aralaan Unvr Por Ennrn Confrnc (AUPEC), Hobar, Tamana, Arala, Spmbr 005, pp. -4. [0]. Son,. rn, and R. Blman, Eqvaln Tranfr Fncon for a Varabl Spd Wnd Trbn n Por Sym ynamc Smlaon, Inrnaonal ornal of rbd Enry Sorc, vol., no., pp. -3, Novmbr 004. [] M. Bhnk and E. Mljad, Rdcd Ordr ynamc Modl for Varabl-Spd Wnd Trbn h Synchrono Gnraor and Fll Por Convron Topoloy, Inrnaonal Confrnc on Fr Por Sym, Amrdam, Th Ndrland, Novmbr 005, pp

Vertical Sound Waves

Vertical Sound Waves Vral Sond Wavs On an drv h formla for hs avs by onsdrn drly h vral omonn of momnm qaon hrmodynam qaon and h onny qaon from 5 and hn follon h rrbaon mhod and assmn h snsodal solons. Effvly h frs ro and

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation

Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 Implmnaon of h Endd Cona Gradn Mhod for h Two- Dmnsonal Enrd Wav Eqaon Vcor Onoma WAZIRI * Snda Ass REJU Mahmacs/Compr

More information

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8 CIVL 8/7 -D Boundar Valu Problm - rangular Elmn () /8 SI-ODE RIAGULAR ELEMES () A quadracall nrpolad rangular lmn dfnd b nod, hr a h vrc and hr a h mddl a ach d. h mddl nod, dpndng on locaon, ma dfn a

More information

OUTLINE FOR Chapter 2-2. Basic Laws

OUTLINE FOR Chapter 2-2. Basic Laws 0//8 OUTLINE FOR Chapr - AERODYNAMIC W-- Basc Laws Analss of an problm n fld mchancs ncssarl nclds samn of h basc laws gornng h fld moon. Th basc laws, whch applcabl o an fld, ar: Consraon of mass Conn

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

Conventional Hot-Wire Anemometer

Conventional Hot-Wire Anemometer Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon

More information

Neutron electric dipole moment on the lattice

Neutron electric dipole moment on the lattice ron lcrc dol on on h lac go Shnan Unv. of Tkba 3/6/006 ron lcrc dol on fro lac QCD Inrodcon arar Boh h ha of CKM arx and QCD vac ffc conrb o CP volaon P and T volaon arar. CP odd QCD 4 L arg d CKM f f

More information

Chapter 7 Stead St y- ate Errors

Chapter 7 Stead St y- ate Errors Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o

More information

APROXIMATE SOLUTION FOR A COUPLED SYSTEM OF DIFFERENTIAL EQUATIONS ARISING FROM A THERMAL IGNITION PROBLEM

APROXIMATE SOLUTION FOR A COUPLED SYSTEM OF DIFFERENTIAL EQUATIONS ARISING FROM A THERMAL IGNITION PROBLEM IJAS 3 Marc 05 www.arpapr.co/vol/voli3/ijas 3_0.pdf APOXIMATE SOLUTION FO A COUPLED SYSTEM OF DIFFEENTIAL EQUATIONS AISING FOM A THEMAL IGNITION POBLEM Sdra Ad Far Sa & Nad Salaa Skkr In of Bn Adnraon

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

More information

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University Lcur 4 : Bacpropagaon Algorhm Pro. Sul Jung Inllgn Sm and moonal ngnrng Laboraor Chungnam Naonal Unvr Inroducon o Bacpropagaon algorhm 969 Mn and Papr aac. 980 Parr and Wrbo dcovrd bac propagaon algorhm.

More information

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d.

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d. A/CN C m Sr Anal Profor Òcar Jordà Wnr conomc.c. Dav POBLM S SOLIONS Par I Analcal Quon Problm : Condr h followng aonar daa gnraon proc for a random varabl - N..d. wh < and N -. a Oban h populaon man varanc

More information

CHAPTER-2. S.No Name of the Sub-Title No. 2.5 Use of Modified Heffron Phillip's model in Multi- Machine Systems 32

CHAPTER-2. S.No Name of the Sub-Title No. 2.5 Use of Modified Heffron Phillip's model in Multi- Machine Systems 32 9 HAPT- hapr : MODIFID HFFON PHILLIP MODL.No Nam of h ub-tl Pag No.. Inroucon..3 Mollng of Powr ym Hffron Phllp Mol.4 Mof Hffron Phllp Mol 7.5 U of Mof Hffron Phllp mol n Mul- Machn ym 3 HAPT-.. Inroucon

More information

(heat loss divided by total enthalpy flux) is of the order of 8-16 times

(heat loss divided by total enthalpy flux) is of the order of 8-16 times 16.51, Rok Prolson Prof. Manl Marnz-Sanhz r 8: Convv Ha ransfr: Ohr Effs Ovrall Ha oss and Prforman Effs of Ha oss (1) Ovrall Ha oss h loal ha loss r n ara s q = ρ ( ) ngrad ha loss s a S, and sng m =

More information

A CONVERGENCE MODEL OF THE TERM STRUCTURE OF INTEREST RATES

A CONVERGENCE MODEL OF THE TERM STRUCTURE OF INTEREST RATES ISN 9984 676 68 4 VIKORS AJVSKIS KRISĪN VĪOLA A CONVRGNC MOL OF H RM SRUCUR OF INRS RAS WORKING PAPR 9 Lavja anka 9 h orc o b ndcad whn rprodcd. A CONVRGNC MOL OF H RM SRUCUR OF INRS RAS CONNS Abrac Inrodcon

More information

Optimization by Using Bat Algorithm on Shell and Tube Heat Exchangers

Optimization by Using Bat Algorithm on Shell and Tube Heat Exchangers Avalabl onln a www.jackro.com Indan Journal of Advanc n Chmcal Scnc Indan Journal of Advanc n Chmcal Scnc S (06) 37-4 Opmzaon by Ung Ba Algorhm on Shll and Tub Ha Exchangr T. K. Tharakhwar *, K. N. Sharamu,

More information

Current-Mode Sensorless Control of Single-Phase Brushless DC Fan Motors

Current-Mode Sensorless Control of Single-Phase Brushless DC Fan Motors IEEE PED 20, ngapor, 5-8 Dcmbr 20 Currn-Mod norl Conrol of ngl-pha Bruhl DC Fan Moor W-Chao Chn Powr Elcronc ym and Chp Lab. Dparmn of Elcrcal Engnrng aonal Chao Tung Unv., Hnchu, Tawan Yng-Yu Tzou, Mmbr,

More information

9. Simple Rules for Monetary Policy

9. Simple Rules for Monetary Policy 9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc

More information

4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd

4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd n r t d n 20 20 0 : 0 T P bl D n, l d t z d http:.h th tr t. r pd l 4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n,

More information

V A. V-A ansatz for fundamental fermions

V A. V-A ansatz for fundamental fermions Avan Parl Phy: I. ak nraon. A Thory Carfl analy of xprnal aa (pary volaon, nrno hly pn hang n nlar β-ay, on ay propr oghr w/ nvraly fnally l o h -A hory of (nlar wak ay: M A A ( ( ( ( v p A n nlon lpon

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

t=0 t>0: + vr - i dvc Continuation

t=0 t>0: + vr - i dvc Continuation hapr Ga Dlay and rcus onnuaon s rcu Equaon >: S S Ths dffrnal quaon, oghr wh h nal condon, fully spcfs bhaor of crcu afr swch closs Our n challng: larn how o sol such quaons TUE/EE 57 nwrk analys 4/5 NdM

More information

,. *â â > V>V. â ND * 828.

,. *â â > V>V. â ND * 828. BL D,. *â â > V>V Z V L. XX. J N R â J N, 828. LL BL D, D NB R H â ND T. D LL, TR ND, L ND N. * 828. n r t d n 20 2 2 0 : 0 T http: hdl.h ndl.n t 202 dp. 0 02802 68 Th N : l nd r.. N > R, L X. Fn r f,

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

SIMEON BALL AND AART BLOKHUIS

SIMEON BALL AND AART BLOKHUIS A BOUND FOR THE MAXIMUM WEIGHT OF A LINEAR CODE SIMEON BALL AND AART BLOKHUIS Absrac. I s shown ha h paramrs of a lnar cod ovr F q of lngh n, dmnson k, mnmum wgh d and maxmum wgh m sasfy a cran congrunc

More information

Chapter 13 Laplace Transform Analysis

Chapter 13 Laplace Transform Analysis Chapr aplac Tranorm naly Chapr : Ouln aplac ranorm aplac Tranorm -doman phaor analy: x X σ m co ω φ x X X m φ x aplac ranorm: [ o ] d o d < aplac Tranorm Thr condon Unlaral on-dd aplac ranorm: aplac ranorm

More information

Nonlinear identification for diffusion/cvd furnaces

Nonlinear identification for diffusion/cvd furnaces José-Job Flors-Godo aramno d Físca amácas Unvrsdad Ibroamrcana éxco C. F. EXICO job.lors@a.mx ars Gas Inl Nonlnar dncaon or dson/cv rnacs rol C Z Z Z Z Z5 rol rol rol r o l rol 5 5 Kosas. saals armn o

More information

Problem analysis in MW frequency control of an Interconnected Power system using sampled data technique

Problem analysis in MW frequency control of an Interconnected Power system using sampled data technique Inrnaonal Journal o La rnd n Engnrng and chnology IJLE robl analy n MW rquncy conrol o an Inrconncd owr y ung apld daa chnqu payan Guha parn o Elcrcal Engnrng Fnal Yar M.ch Sudn, Aanol Engnrng Collg, Aanol,

More information

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th n r t d n 20 2 :24 T P bl D n, l d t z d http:.h th tr t. r pd l 4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n

More information

Valuation and Analysis of Basket Credit Linked Notes with Issuer Default Risk

Valuation and Analysis of Basket Credit Linked Notes with Issuer Default Risk Valuaon and Analy of Ba Crd Lnd o wh ur Dfaul R Po-Chng Wu * * Dparmn of Banng and Fnanc Kanan Unvry Addr: o. Kanan Rd. Luchu Shang aoyuan 33857 awan R.O.C. E-mal: pcwu@mal.nu.du.w l.: 886-3-34500 x. 67

More information

Control Algorithm for Shunt Active Power Filter using Synchronous Reference Frame Theory

Control Algorithm for Shunt Active Power Filter using Synchronous Reference Frame Theory World Acadmy o Scnc, Engnrng and chnology Inrnaonal Jornal o Elcrcal and Comr Engnrng Vol:, No:, 9 Conrol Algorhm or Shn Acv Powr Flr ng Synchrono Rrnc Fram hory Conalva J. Mgwa, Bda J. Kndy and Bakar

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

More information

where: u: input y: output x: state vector A, B, C, D are const matrices

where: u: input y: output x: state vector A, B, C, D are const matrices Sa pac modl: linar: y or in om : Sa q : f, u Oupu q : y h, u u Du F Gu y H Ju whr: u: inpu y: oupu : a vcor,,, D ar con maric Eampl " $ & ' " $ & 'u y " & * * * * [ ],, D H D I " $ " & $ ' " & $ ' " &

More information

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse. Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s

More information

Hopf Bifurcation Analysis for the Comprehensive National Strength Model with Time Delay Xiao-hong Wang 1, Yan-hui Zhai 2

Hopf Bifurcation Analysis for the Comprehensive National Strength Model with Time Delay Xiao-hong Wang 1, Yan-hui Zhai 2 opf Bfurcaon Analy for h Comprhnv Naonal Srnh ol wh m Dlay Xao-hon an Yan-hu Zha School of Scnc ann Polychnc Unvry ann Abrac h papr manly mof an furhr vlop h comprhnv naonal rnh mol By mofyn h bac comprhnv

More information

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1 8 Sprg ME854 - Z Pg r Sym Rvw r Sym Rvw r Sym Rvw crpo of r Sym: p m R y R R y FT : & U Y Trfr Fco : y or : & : d y d r Sym Rvw orollbly d Obrvbly: fo 3.: FT dymc ym or h pr d o b corollbl f y l > d fl

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

Why switching? Modulation. Switching amp. Losses. Converter topology. i d. Continuous amplifiers have low efficiency. Antag : u i

Why switching? Modulation. Switching amp. Losses. Converter topology. i d. Continuous amplifiers have low efficiency. Antag : u i Modlaton Indtral Elctrcal Engnrng and Atomaton Lnd nvrty, Swdn Why wtchng? Contno amplfr hav low ffcncy a b Contno wtch pt ( t ) = pn( t) = ( a b) Antag : ( a b) = Pn = Pt η = = = Pn Swtchng amp. Lo Convrtr

More information

LaPlace Transform in Circuit Analysis

LaPlace Transform in Circuit Analysis LaPlac Tranform in Circui Analyi Obciv: Calcula h Laplac ranform of common funcion uing h dfiniion and h Laplac ranform abl Laplac-ranform a circui, including componn wih non-zro iniial condiion. Analyz

More information

10.5 Linear Viscoelasticity and the Laplace Transform

10.5 Linear Viscoelasticity and the Laplace Transform Scn.5.5 Lnar Vclacy and h Lalac ranfrm h Lalac ranfrm vry uful n cnrucng and analyng lnar vclac mdl..5. h Lalac ranfrm h frmula fr h Lalac ranfrm f h drvav f a funcn : L f f L f f f f f c..5. whr h ranfrm

More information

Chapter 9 Transient Response

Chapter 9 Transient Response har 9 Transn sons har 9: Ouln N F n F Frs-Ordr Transns Frs-Ordr rcus Frs ordr crcus: rcus conan onl on nducor or on caacor gornd b frs-ordr dffrnal quaons. Zro-nu rsons: h crcu has no ald sourc afr a cran

More information

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions 4.0 rincipl of Macroconomic Fall 005 Quiz 3 Soluion Shor Quion (30/00 poin la a whhr h following amn ar TRUE or FALSE wih a hor xplanaion (3 or 4 lin. Each quion coun 5/00 poin.. An incra in ax oday alway

More information

"Science Stays True Here" Journal of Mathematics and Statistical Science, Volume 2016, Science Signpost Publishing

Science Stays True Here Journal of Mathematics and Statistical Science, Volume 2016, Science Signpost Publishing "Scnc Says r Hr" Jornal of Mahmacs and Sascal Scnc Volm 6 343-356 Scnc Sgnpos Pblshng Mhod for a Solon o Som Class of Qas-Sac Problms n Lnar Vscolascy hory as Appld o Problms of Lnar orson of a Prsmac

More information

828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t

828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t 2Â F b. Th h ph rd l nd r. l X. TH H PH RD L ND R. L X. F r, Br n, nd t h. B th ttr h ph rd. n th l f p t r l l nd, t t d t, n n t n, nt r rl r th n th n r l t f th f th th r l, nd d r b t t f nn r r pr

More information

Theoretical Seismology

Theoretical Seismology Thorcal Ssmology Lcur 9 Sgnal Procssng Fourr analyss Fourr sudd a h Écol Normal n Pars, augh by Lagrang, who Fourr dscrbd as h frs among Europan mn of scnc, Laplac, who Fourr rad lss hghly, and by Mong.

More information

0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n. R v n n th r

0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n. R v n n th r n r t d n 20 22 0: T P bl D n, l d t z d http:.h th tr t. r pd l 0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n.

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

FUZZY NEURAL NETWORK CONTROL FOR GRAVURE PRINTING

FUZZY NEURAL NETWORK CONTROL FOR GRAVURE PRINTING Conrol Unvrsy of Bah UK Spmbr D-9 FUZZY NEURAL NETWRK CNTRL FR GRAVURE RNTNG L. Dng.E. Bamforh M.R. ackson R. M. arkn Wolfson School of Mchancal & Manfacrng Engnrng Loghborogh Unvrsy Ashby Road Loghborogh

More information

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9 CIVL / -D Boundry Vlu Problm - Qudrlrl Elmn (Q) /9 EIGH-ODE QUADRILAERRAL ELEMES (Q) h nx n our lmn dvlopmn logcl xnon of h qudrlrl lmn o qudrclly nrpold qudrlrl lmn dfnd by gh nod, four h vrc nd four

More information

LQR based Speed Control of BLDC Motors

LQR based Speed Control of BLDC Motors G Inrnaonal ournal o Elcrcal and Elcronc Engnrng (G-IEEE) volu 3 Iu 6 un 6 Q bad pd Conrol o BDC Moor Mha M., Awn.B.G udn, Aan proor Elcrcal & Elcronc Dp. Mar Balo collg o Engnrng, hruvananhapura, rala,

More information

n r t d n :4 T P bl D n, l d t z d th tr t. r pd l

n r t d n :4 T P bl D n, l d t z d   th tr t. r pd l n r t d n 20 20 :4 T P bl D n, l d t z d http:.h th tr t. r pd l 2 0 x pt n f t v t, f f d, b th n nd th P r n h h, th r h v n t b n p d f r nt r. Th t v v d pr n, h v r, p n th pl v t r, d b p t r b R

More information

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then SYSTEM PERFORMANCE Lctur 0: Stady-tat Error Stady-tat Error Lctur 0: Stady-tat Error Dr.alyana Vluvolu Stady-tat rror can b found by applying th final valu thorm and i givn by lim ( t) lim E ( ) t 0 providd

More information

Microscopic Flow Characteristics Time Headway - Distribution

Microscopic Flow Characteristics Time Headway - Distribution CE57: Traffic Flow Thory Spring 20 Wk 2 Modling Hadway Disribuion Microscopic Flow Characrisics Tim Hadway - Disribuion Tim Hadway Dfiniion Tim Hadway vrsus Gap Ahmd Abdl-Rahim Civil Enginring Dparmn,

More information

Dynamic Demagnetization Computation of Permanent Magnet Motors Using Finite Element Method with Normal Magnetization Curves

Dynamic Demagnetization Computation of Permanent Magnet Motors Using Finite Element Method with Normal Magnetization Curves Y 中国用户大会优秀论文 Dynamc Dmagnzaon Compaon of Prmann agn oors Usng Fn Elmn ho h ormal agnzaon Crs W.. F an. L. o bsrac m-sppng fn lmn mho (FE) o smla h ransn opraons of prmann magn (P) moors s prsn. I ss only

More information

Exercises for lectures 7 Steady state, tracking and disturbance rejection

Exercises for lectures 7 Steady state, tracking and disturbance rejection Exrc for lctur 7 Stady tat, tracng and dturbanc rjcton Martn Hromčí Automatc control 06-3-7 Frquncy rpon drvaton Automatcé řízní - Kybrnta a robota W lad a nuodal nput gnal to th nput of th ytm, gvn by

More information

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b 4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

Partial Fraction Expansion

Partial Fraction Expansion Paial Facion Expanion Whn ying o find h inv Laplac anfom o inv z anfom i i hlpfl o b abl o bak a complicad aio of wo polynomial ino fom ha a on h Laplac Tanfom o z anfom abl. W will illa h ing Laplac anfom.

More information

Dynamic modeling, simulation and control of a hybrid driven press mechanism

Dynamic modeling, simulation and control of a hybrid driven press mechanism INTERNTIONL JOURNL OF MECHNICS Volum 1 16 Dynamc modlng smulaon and conrol of a hybrd drvn prss mchansm Mhm Erkan Küük Lal Canan Dülgr bsrac Hybrd drvn mchansm combns h moon of a larg consan vlocy moor

More information

Comparison of the performance of best linear unbiased predictors (BLUP)

Comparison of the performance of best linear unbiased predictors (BLUP) Comparon of h prformanc of b lnar unbad prdcor (BLUP) Pkang Yao Synh Spn 130 Wrgh Lan Ea W Chr, PA 19380 USA yao.pr@ynh.com Edward J. Sank III Dparmn of Publc Halh 401 Arnold Hou Unvry of Maachu 711 Norh

More information

EE"232"Lightwave"Devices Lecture"16:"p7i7n"Photodiodes"and" Photoconductors"

EE232LightwaveDevices Lecture16:p7i7nPhotodiodesand Photoconductors EE"232"Lgwav"Dvcs Lcur"16:"p77n"Pooos"an" Pooconucors" Rang:"Cuang,"Cap."15"(2 n E) Insrucor:"Mng"C."Wu Unvrsy"of"Calforna,"Brkly Elcrcal"Engnrng"an"Compur"Scncs"Dp. EE232$Lcur$16-1 Rvrs"bas%p""n%juncon

More information

46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th

46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th n r t d n 20 0 : T P bl D n, l d t z d http:.h th tr t. r pd l 46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 6: Heat Conduction: Thermal Stresses

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 6: Heat Conduction: Thermal Stresses 16.512, okt Proulon Prof. Manul Martnz-Sanhz Ltur 6: Hat Conduton: Thrmal Str Efft of Sold or Lqud Partl n Nozzl Flow An u n hhly alumnzd old rokt motor. 3 2Al + O 2 Al 2 O 2 3 m.. 2072 C, b.. 2980 C In

More information

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f n r t d n 20 2 : 6 T P bl D n, l d t z d http:.h th tr t. r pd l 22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r

More information

Homework: Introduction to Motion

Homework: Introduction to Motion Homwork: Inroducon o Moon Dsanc vs. Tm Graphs Nam Prod Drcons: Answr h foowng qusons n h spacs provdd. 1. Wha do you do o cra a horzona n on a dsancm graph? 2. How do you wak o cra a sragh n ha sops up?

More information

Die Mounted Cam Unit General Description of KGSP

Die Mounted Cam Unit General Description of KGSP D Mond Cam Un Gnal Dscpon of UHav d sc ha confoms o hgh podcon ns. U,,, 0mm and 0mm a avalabl fo h monng dh. UAvalabl angl s 0 o a ncmns of 5. U IO spngs a sd. Opon of U Mc pcfcaon(-) / LU32-(h 3-M8p5

More information

Frequency Response. Response of an LTI System to Eigenfunction

Frequency Response. Response of an LTI System to Eigenfunction Frquncy Rsons Las m w Rvsd formal dfnons of lnary and m-nvaranc Found an gnfuncon for lnar m-nvaran sysms Found h frquncy rsons of a lnar sysm o gnfuncon nu Found h frquncy rsons for cascad, fdbac, dffrnc

More information

State Observer Design

State Observer Design Sa Obsrvr Dsgn A. Khak Sdgh Conrol Sysms Group Faculy of Elcrcal and Compur Engnrng K. N. Toos Unvrsy of Tchnology Fbruary 2009 1 Problm Formulaon A ky assumpon n gnvalu assgnmn and sablzng sysms usng

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

Lecture 4: Parsing. Administrivia

Lecture 4: Parsing. Administrivia Adminitrivia Lctur 4: Paring If you do not hav a group, pla pot a rqut on Piazzza ( th Form projct tam... itm. B ur to updat your pot if you find on. W will aign orphan to group randomly in a fw day. Programming

More information

Euler-Maruyama Approximation for Mean-Reverting Regime Switching CEV Process

Euler-Maruyama Approximation for Mean-Reverting Regime Switching CEV Process Inrnaonal Confrnc on Appld Mahmac, Smulaon and Modllng (AMSM 6 Eulr-Maruyama Appromaon for Man-vrng gm Swchng CE Proc ung u* and Dan Wu Dparmn of Mahmac, Chna Jlang Unvry, Hangzhou, Chna * Corrpondng auhor

More information

Enhanced DBCC for high-speed permanent magnet synchronous motor drives

Enhanced DBCC for high-speed permanent magnet synchronous motor drives Enhanc DBCC for hgh-p prmann magn ynchronou moor r M. ang, A. Gaa, A. Formnn, K. Ohyama 3, P. Zancha, an G. Ahr Unry of Nongham, Unry Par, Nongham, UK rdr.r.l., a ommao Fazllo 5, nn (SR), Ialy 3 Fuuoa

More information

ELEN E4830 Digital Image Processing

ELEN E4830 Digital Image Processing ELEN E48 Dgal Imag Procssng Mrm Eamnaon Sprng Soluon Problm Quanzaon and Human Encodng r k u P u P u r r 6 6 6 6 5 6 4 8 8 4 P r 6 6 P r 4 8 8 6 8 4 r 8 4 8 4 7 8 r 6 6 6 6 P r 8 4 8 P r 6 6 8 5 P r /

More information

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control

MEM 355 Performance Enhancement of Dynamical Systems A First Control Problem - Cruise Control MEM 355 Prformanc Enhancmn of Dynamical Sysms A Firs Conrol Problm - Cruis Conrol Harry G. Kwany Darmn of Mchanical Enginring & Mchanics Drxl Univrsiy Cruis Conrol ( ) mv = F mg sinθ cv v +.2v= u 9.8θ

More information

Reliability Mathematics Analysis on Traction Substation Operation

Reliability Mathematics Analysis on Traction Substation Operation WSES NSCIONS o HEICS Hoh S lal aha al o rao Sao Orao HONSHEN SU Shool o oao a Elral Er azho Jaoo Ur azho 77..CHIN h@6.o ra: - I lr ralwa rao owr l h oraoal qal a rlal o h a rao raorr loo hhr o o o oaral

More information

KNOWLEDGE AND TECHNOLOGY TRANSFER: NOVEL RESULTS WHILE TEACHING ADVANCED COURSES

KNOWLEDGE AND TECHNOLOGY TRANSFER: NOVEL RESULTS WHILE TEACHING ADVANCED COURSES KNOWEGE N EHNOOGY NSFE: NOE ESUS WHIE EHING NE OUSES G.M. mro* W.-. 3. Srafmo Y.-W. Jn 3 an.. nbüün ou Unry ompur En. parmn Faculy of En. cbam 347 Ianbul ury E-mal: mro@ou.u.r SS yrl Mhou Unry SE Inu Faculy

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v

Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v ll f x, h v nd d pr v n t fr tf l t th f nt r n r

More information

ELECTRONIC DEVICES BIPOLAR JUNCTION TRANSISTOR. Piotr Dziurdzia, Ph.D C-3, room 413; tel ,

ELECTRONIC DEVICES BIPOLAR JUNCTION TRANSISTOR. Piotr Dziurdzia, Ph.D C-3, room 413; tel , 04-05-04 AGH UNVRSY O SN AND HNOLOGY M. SANSŁAWA SASZA W KRAKOW aculy of ompur Scnc, lcroncs and lcommuncaons DPARMN O LRONS LRON DVS Por Dzurdza, Ph.D. -3, room 43; l. 67-7-0, Por.Dzurdza@ah.du.pl POLAR

More information

Source code. where each α ij is a terminal or nonterminal symbol. We say that. α 1 α m 1 Bα m+1 α n α 1 α m 1 β 1 β p α m+1 α n

Source code. where each α ij is a terminal or nonterminal symbol. We say that. α 1 α m 1 Bα m+1 α n α 1 α m 1 β 1 β p α m+1 α n Adminitrivia Lctur : Paring If you do not hav a group, pla pot a rqut on Piazzza ( th Form projct tam... itm. B ur to updat your pot if you find on. W will aign orphan to group randomly in a fw day. Programming

More information

PID Parameters Optimization by Using Genetic Algorithm. Andri Mirzal, Shinichiro Yoshii, Masashi Furukawa

PID Parameters Optimization by Using Genetic Algorithm. Andri Mirzal, Shinichiro Yoshii, Masashi Furukawa PID Paramr Opimizaion by Uing Gnic Algorihm Andri Mirzal, Shinichiro Yohii, Maahi Frkawa Grada School o Inormaion Scinc and chnology Hokkaido Univriy Sapporo, Japan Email: andri, yohii, mack@complx.ng.hokdai.ac.jp

More information

Note: Torque is prop. to current Stationary voltage is prop. to speed

Note: Torque is prop. to current Stationary voltage is prop. to speed DC Mach Cotrol Mathmatcal modl. Armatr ad orq f m m a m m r a a a a a dt d ψ ψ ψ ω Not: orq prop. to crrt Statoary voltag prop. to pd Mathmatcal modl. Fld magtato f f f f d f dt a f ψ m m f f m fλ h torq

More information

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields Appl M Fall 6 Nuruhr Lcur # r 9/6/6 4 Avanc lcromagnc Thory Lc # : Poynng s Thorm Tm- armonc M Fls Poynng s Thorm Consrvaon o nrgy an momnum Poynng s Thorm or Lnar sprsv Ma Poynng s Thorm or Tm-armonc

More information

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation Lctur Rlc nutrnos mpratur at nutrno dcoupln and today Effctv dnracy factor Nutrno mass lmts Saha quaton Physcal Cosmoloy Lnt 005 Rlc Nutrnos Nutrnos ar wakly ntractn partcls (lptons),,,,,,, typcal ractons

More information

Boosting and Ensemble Methods

Boosting and Ensemble Methods Boosng and Ensmbl Mhods PAC Larnng modl Som dsrbuon D ovr doman X Eampls: c* s h arg funcon Goal: Wh hgh probably -d fnd h n H such ha rrorh,c* < d and ar arbrarly small. Inro o ML 2 Wak Larnng

More information

Numerical modeling of two-phase fluid flow and oil slick transport in estuarine water

Numerical modeling of two-phase fluid flow and oil slick transport in estuarine water In. J. Envron. Sc. Tch., 7 (4), 77-784, Auumn 2 ISSN: 735-472 M. Naghby; M. Kolahdoozan IRSEN, CEERS, IAU Numrcal modlng of o-pha flud flo and ol lck ranpor n uarn ar M. Naghby; *M. Kolahdoozan Dparmn

More information

THREE-DIMENSIONAL FUNDAMENTAL SOLUTIONS IN MULTILAYERED PIEZOELECTRIC SOLIDS

THREE-DIMENSIONAL FUNDAMENTAL SOLUTIONS IN MULTILAYERED PIEZOELECTRIC SOLIDS Spcal Dca o Svn ra o roor Toma Ta Tng THREE-DMESOL FUDMETL SOLUTOS MULTLYERED EZOELETR SOLDS E. an Dp. o vl Engnrng T Unvr o ron ron OH 445-95 U.S.. STRT T arcl Grn ncon n r-mnonal D anoropc polcrc an

More information

American International Journal of Research in Science, Technology, Engineering & Mathematics

American International Journal of Research in Science, Technology, Engineering & Mathematics Ara raoal oral of ar S oloy r & aa Avalabl ol a //wwwar SSN Pr 38-349 SSN Ol 38-358 SSN D-O 38-369 AS a rfr r-rvw llary a o a joral bl by raoal Aoao of Sf ovao a ar AS SA A Aoao fy S r a Al ar oy rao ra

More information

tcvrn Hl1 J M Hamilton P Eng Chief Geologist Kimberley Northing m Northing m I FEB 24 1QP Northing m Gold Commiuioner

tcvrn Hl1 J M Hamilton P Eng Chief Geologist Kimberley Northing m Northing m I FEB 24 1QP Northing m Gold Commiuioner SVA M OMO TD KOOT GROP ASSSSMT RPORT KMBRY B Th fwn rpr dsrbs h rss f drn Dand Dr H K 8 4 a 8 r h D D H K 8 5 a 9 5 r h D D H K 8 5A a 67 38 r h D D H K 8 6 a 8 69 r h and D D H K 8 7 a 77 72 r h n h ana

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

QuickChick: A Coq Framework For Verified Property Based Testing

QuickChick: A Coq Framework For Verified Property Based Testing 1 / 47 QckChck: A Coq Framwork For Vrfd Propry Bad Tng Zo Parakvopolo Spmbr 8, 2014 2 / 47 Ovrvw Goal: Tr hgh-lvl logcal propoon nad of xcabl ng cod Gan confdnc ha h rgh conjcr bng d Gan confdnc ha h ng

More information

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures U Boac orkng Papr Sr -3-2004 Ovrlap Ba n h Ca-Croovr Dgn, h Applcaon o Ar Polluon Expour Holly Jan Unvry of ahngon, hjan@u.wahngon.du Lann Shppard Unvry of ahngon, hppard@u.wahngon.du homa Lumly Unvry

More information

Gradient Descent for General Reinforcement Learning

Gradient Descent for General Reinforcement Learning To appar n M. S. Karns, S. A. Solla, and D. A. Cohn, dors, Advancs n Nral Informaon Procssng Sysms, MIT Prss, Cambrdg, MA, 999. Gradn Dscn for Gnral Rnforcmn Larnng Lmon Bard Andrw Moor lmon@cs.cm.d awm@cs.cm.d

More information

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if.

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if. Tranform Mhod and Calculu of Svral Variabl H7, p Lcurr: Armin Halilovic KTH, Campu Haning E-mail: armin@dkh, wwwdkh/armin REPETITION bfor h am PART, Tranform Mhod Laplac ranform: L Driv h formula : a L[

More information