A CONTROL STRATEGY FOR NOISE REDUCTION IN SWITCHED RELUCTANCE MOTORS

Size: px
Start display at page:

Download "A CONTROL STRATEGY FOR NOISE REDUCTION IN SWITCHED RELUCTANCE MOTORS"

Transcription

1 A CONROL SRAEGY FOR NOISE REDUCION IN SWICHED RELUCANCE MOORS Erdal Bzvlc UBIAK-BİLEN Informaton chnologs and Elctroncs Rsarch Insttut Anara ury Kmal Lblbcoğlu and H. Bülnt Ertan Mddl East chncal Unvrsty Dpartmnt of Elctrcal and Elctroncs Engnrng Anara ury Abstract hs study dscrbs an approach to lmnat th torqu pulsatons and hnc acoustc nos of SR motors. o control th forc pulsatons phas voltag s slctd as th control varabl contrary to what s oftn ncountrd n ltratur. h authors blv that cost ffctv mplmntaton of ths choc s now tchncally possbl. Slcton of approprat phas voltags s achvd by Sldng Mod Control n ordr to produc th pr-dfnd torqu rfrnc for ach phas. In ths approach pay currnt wavforms ar avodd. In ths mannr th ratng of th powr supply s rducd. Smooth currnt wavforms also contrbut to th rducton of th nos lvl of th drv systm. Effctvnss of th approach s llustratd wth xprmntal rsults. INRODUCION Swtchd rluctanc SR motor drvs ar basd on ruggd SR motors whch provd a wd rang of spd control and proms to b cost ffctv. Howvr thy ar nown to hav hghr acoustc nos lvls than som of th othr drv typs. Shaft torqu varaton s on of th sourcs of acoustc nos n SR motors. Howvr radal forcs xctng th mchancal structur ar also vry mportant. Rducton of th acoustc nos lvl s possbl by payng attnton to th mchancal dsgn of th motor and mprovng ts magntc crcut dsgn so that th motor has a smoothr shaft torqu output. Howvr onc th motor s dsgnd to satsfy th rqurmnts mntond abov th dsgn of th lctronc controllr rmns th acoustc nos prformanc of th motor drv. h torqu producd by as SR motor s dpndnt on both th poston of th shaft and th currnt n th phass. Furthrmor th torqu producd s not a lnar functon of currnt. So th problm s hghly nonlnar. h motor torqu s rmnd by th turn on angl ON of th phass th conducton angl COND and by th phas currnt or voltag. Dspt ths t may b argud that th problm s that of placng th rght amount of currnt to th xctd phass so that th dsrd smooth torqu s obsrvd at th shaft. Howvr attnton must b pad to ma sur that th powr supply ratng s not rqurd to b xcssv th currnt wav shap s smooth to avod suddn radal forc pulsatons. At low spds th control s asr as thr s tm to adjust th currnt lvl. At hghr spds th nducd mf n th phas wndngs furthr complcat th problm. It s obvous that xctng two of th phass smultanously to obtan a smooth shaft torqu s lly to b mor advantagous than xctng on phas at a tm. In ths mannr powr ratng of th powr supply may b rducd a smoothr phas currnt wavform can b obtand tc. An mportant ssu n mplmntng a two phas on xctaton s how to shar th torqu btwn two phass to avod xcssv and pay phas currnts. h control varabls ar th advanc angl conducton prod and th phas currnt or voltag magntud as mntond abov. Evn wth a vry fast procssor thr s not

2 nough tm for an on-ln optmzaton to mnmz phas currnts and obtan th dsrd torqu. Such an approach would lmt th uppr spd that th control s achvabl. For ths rason oftn a prdfnd torqusharng functon s mployd n th prvous studs []. Flux [] [3] currnt [4] [5] or voltag [6] [7] may b usd as th ntrmdat control varabl to follow th dsrd torqu rfrnc. Voltag controllrs nd varabl voltag suppls. Flux controllrs rqur a flux obsrvr [3] or ψ-- loo-up tabls [] for not suffrng th ntgraton drft and nos problms. Whn th ltratur s nvstgatd t s obsrvd that currnt controllrs ar gnrally usd wth hgh-gan hgh-bandwh amplfrs [4]. Voltag controllrs ar not much favord so far as thy would ntroduc adonal cost. Howvr authors blv that prsnt tchnology prmts a cost ffctv soluton at last for som problms. For ths rason ths papr concntrats on dsgnng a torqu controllr whch also lmnats torqu rppl whl mang sur that th convrtr ratng s pt at a mnmum and phas currnt varatons ar mad as smooth as possbl. At ths stag to dntfy th y factors of th problm advanc angl s tan as constant th conducton angl s pt at unty and only th phas voltag s tan as th control varabl. CONROLLER DESIGN In th approach hr th dsrd shaft torqu s producd by two phass. h contrbuton of ach phas to th total torqu s dsgnd such that th sum of th phas torqus must b qual to th dsrd torqu rf at any rotor poston. In ordr to p th total torqu constant just l th othr torqu sharng mthods n ltratur an arbtrary contour functon g s dfnd such that rf = m = g m = numbr of phass In ths cas ndvdual phas rfrncs g s chosn sgmodal as sn n Fg.. hs phas torqu rfrncs may b calld orqu Sharng Functons. hs functon must b ralstc so th actual phas torqu must b abl to follow th contour dfnd by th torqu sharng functons wth a fnt DC ln voltag.. torqu sharng functons otal shaft torqu rf. phas torqu Nm Phas D Rfrnc g 4thta Phas A Rfrnc g thta Phas B Rfrnc g thta phas angl dgr Fg. Indvdual phas torqu rfrncs and th total shaft torqu to gv th rf. For a gvn rf onc th sharng of th torqu btwn phass s dcdd for ach of th actv phass th torqu rror s calculatd as follows: σ = rf hn a control stratgy s usd to mnmz th ndvdual phas torqu rror. In th xprsson abov s th poston at whch th calculaton s mad s th shaft spd and s th th phas currnt.

3 Controllr mplmntaton In th applcaton hr t s assumd that torqu-poston-currnt and flux lnag-poston-currnt data s avalabl. Although xprmntally obtand data s usd hr ths data can also b computatonally producd [9 ]. It s also dcdd that a Sldng Mod Control stratgy s vry sutabl for th applcaton hr. SRM Modl Stat quatons of an m phas SRM ar gvn as follows [8]: d = dw m = { } J = l d ψ u r.. = =... m l whr l s th load torqu J s th total rotatonal nrta of th motor and th load s th ndvdual phas torqu r s th phas rsstanc u s th appld phas voltag and ψ s th flux-lnag of th th phas. l s th ncrmntal nductanc and gvn by ψ l = Sldng Mod Control SMC SMC forcs th systm stats to sld on a dsrd surfac n th stat spac. hs surfac s calld as th sldng surfac. If th stat varabls of th systm sld on th dsrd surfac t mans that th stat varabls hav th dsrd valus and th systm s undr control. o p th systm n th sldng rgm a propr functon of th stat varabls must b dfnd to p th systm varabls on th sldng surfac. hs functon s namd as swtchng functon and shown by th symbol of σ x r. hs s a nd of rror functon and th controllr forcs ths functon towards zro durng opraton σ x r. Hr x r s th stat vctor of th rlvant systm. If th numrcal valu of σ x r s qual to zro th systm s on th sldng surfac othrws not. h numrcal valu of σ x r s calculatd by usng th actual valus of th stat varabls. Whn σ x r s gratr than zro ths mans that a control sgnal must b appld to dcras th valu of σ x r. h oppost occurs whn σ x r s lss than zro. hs s a nd of closd-loop stat fdbac systm to control th valu of th swtchng functon σ x r [7]. If th valu of σ x r s dffrnt from zro th varaton n th SMC brngs t bac to zro. h xstnc conon of th sldng rgm s d r. σ x < r r dσ x σ x. < σ. σ < 3

4 hs nqualty s transformd to an qualty f th rght hand sd s always ngatv. r r dσ x r r σ x. = f σ x f σ x > σ σ = f σ f σ > 4 f f σ rf σ = = 5 σ rf Equaton 5 can b calld as Sldng Mod Functon SMF whch wll b usd to dsgn dffrnt typs of SMC. Equvalnt nput voltag vctor u q can b calculatd by substtutng th stat quatons nto th quaton 5. By slctng dffrnt f σ valus dffrnt typs of SMC can b achvd. hs subjct wll b consdrd n th nxt sctons. SMC Dsgn Our am s to p th shaft torqu at a constant rfrnc valu. o st th phas torqu at th rfrnc valu w nd to dvlop a control sgnal to mnmz th torqu rror. orqu rror s th dffrnc btwn th total shaft torqu and th torqu rfrnc. hs rror valu can b consdrd as a swtchng functon. hs swtchng functon s dsgnd to p th systm stat varabls on th sldng surfac and dfnd as follows Substtutng 6 nto 3 w obtan σ = 6 rf d rf < hs nqualty s transformd to qualty by sttng th rght hand sd to a ngatv valu as shown n 3. 7 d = f rf rf f > rf d f rf = rf rf d d f rf = rf 8.a rf d rf d d d rf rf d = = = rf.. 8.b d d

5 + = d d d 8.c If w substtut stat quatons nto 8.c and thn substtut 8.b and 8.c nto 8.a w obtan;. ψ rf f rf r u l rf = + 9 Whr th partal drvatvs of th torqu and th flux-lnag wth rspct to poston and currnt ar calculatd numrcally by usng th masurd statc torqu and flux-lnag curvs Fg.. Control voltag u can b solvd as a functon of th stat varabls from ths quaton as follows r l rf rf rf f u = ψ hs s th control voltag for SMC to p th systm n th sldng rgm. In othr words f ths voltag s appld to th phas th torqu rror wll b forcd to b zro. Equaton ncluds th partal drvaton of rf wth rspct to tm whch mans that th quaton s vald for also dynamc conons. At stady stat rf dos not chang wth tm so th drvatv of rf wth rspct to tm wll b zro. = rf d In ths study stady stat conons ar consdrd so ths trm dsappars from and th control voltag s calculatd as follows: r l rf rf f u + + = ψ Not that th frst trm of ths quaton s th Sldng Mod Functon SMF whch s dfnd n 5. In ths study two dffrnt functons ar trd for ths purpos n ordr to s th ffct of th slcton of ths functon. Som of th rsults ar gvn blow. SIMULAION RESULS In ths study th drv systm whch s composd of SRM and controllr s smulatd by usng Matlab Smuln. h smulatons ar don at stady stat conons whch man that th motor producs constant torqu at constant spd. For th SRM modl usd n smulatons masurd statc torqu-currnt-poston and flux lnag-currnt-poston curvs ar usd Fg.. Statc torqu curvs ar masurd up to 3 A wth currnt stps of.5 A. For ach currnt lvl phas torqu s masurd at vry dgrs of lctrcal phas angl. Flux lnag curvs ar masurd from OU to 8 IN poston wth th poston stps of

6 3 dgrs. For th ntrmdat phas currnt and phas postons both torqu and flux-lnag data s obtand by cubc spln ntrpolaton Flux lnag Wb phas torqu Nm A.5 A A.5 A A.5 A 3 A phas currnt A phas poston lctrcal dgr Fg. Masurd flux-lnag charactrstcs of th tst motor wth 3 dgrs of masurng stps and masurd statc torqu curvs wth currnt stps of.5 A. An ntgraton stp of μs s usd for th smulatons. h control s also appld at vry μs. DC ln voltag whch s shown by th symbol V DC s assumd to vary contnuously btwn ±3 V. o b abl to mplmnt ths control phas currnts and th rotor angl nformaton s rqurd. In smulatons phas currnts ar calculatd from th motor stat quatons and th rotor angl s obtand from th ntgraton of th assumd constant spd for th studd cas. Frcton and wndag s not tan nto account. wo of th cass studd va smulaton for mplmntng SMC ar dscussd blow. Cas d σ / = α. sgn σ α > h drvatv of th torqu rror n ths cas s assgnd a sgnum functon of as shown n Fg. 3. Substtutng ths drvatv conon nto th phas voltag can b calculatd from u = α sgn σ ψ. l + + r whr σ x r = rf sgn σ = rf rf If α s chosn to b a vry bg postv numbr th othr trms of xcpt for th on whch ncluds α can b nglctd. Hnc th control voltag bcoms; u = α sgn σ l

7 5 dsgma/ sgma Fg. 3 Sgnum functon of sgma h DC ln voltag s fnt whch has a maxmum valu of V DC. If w choos α suffcntly bg for xampl 4 th phas voltag valu u wll saturat for th valus gratr than V DC or smallr than -V DC. Equaton can b usd to calculat th phas voltag at both postv and ngatv torqu rgon of th motor. If s nvstgatd t s asly sn that th sgn of th phas voltag s dpndnt of th sgns of th torqu drvatv and th ncrmntal nductanc. If th motor s usd at postv torqu rgon thn th drvatv of th torqu wth rspct to currnt and th ncrmntal nductanc drvatv of th flux-lnag wth rspct to currnt wll always b postv. In ths spcal cas whch s nvstgatd n ths study may b smplfd mor. h smplfd quaton s gvn blow whch gvs us u + V = V u = α sgnσ DC DC σ σ < > In ths study snc advanc angl control s not ncludd th SRM s assumd to oprat always at postv torqu rgon. So th smplfd quaton 3 s usd nstad of to calculat th phas voltag. hs mans that f th torqu rror s lss than zro th DC ln voltag must b appld to th phas n ordr to ncras th actual torqu. If th torqu rror s gratr than zro ngatv DC ln voltag must b appld to dcras th torqu producton so th torqu rror gos to zro. Fg. 44 dsplays th shaft torqu and th phas torqus of th motor obtand from smulaton wth th choc of sgnum SMC functon. h motor s opratng at 785 rpm wth a Nm torqu rfrnc. It can b obsrvd from Fg. 4 that th rfrnc lvl of Nm could b mantand wthn a narrow band. h wh of th band of cours would wdn n a practcal applcaton du to th computatonal dlays n th mplmntaton. Whn ths fgur s closly nvstgatd a chattrng problm s notcd. In othr words th appld voltag fluctuats btwn ± V DC. A smoothr opraton s dsrabl wth a gradual chang btwn voltag lvls Nm.6 Nm tm sc tm sc Fg. 4 a Shaft torqu tracng a rfrnc valu of Nm n= 785 rpm b Indvdual phas torqus to gv Nm total shaft torqu n= 785 rpm

8 3.5 Ampr tm sc Fg. 5 Phas currnts for sgnum functon at 785 rpm Nm Cas d σ / = α. sgmod σ α > In ths cas th drvatv of th torqu rror s assgnd to a sgmod functon and ths s as shown n Fg. 6. h SMC functon whch ld to bst rsults s found to b dσ/ = -α sg σ. h smulatons ar mad for a rfrnc torqu of Nm at 785 rpm wth μsc ntgraton stp sz and μsc control cycl. Of cours updatng th controllr output at μsc s not possbl n ral lf but ths smulaton s mad to obsrv th dal prformanc of th controllr. In Fg. 7 th rqurd phas voltag and currnt ar gvn for a smooth torqu opraton for th conons mntond abov. It can b obsrvd that th top of th currnt wavforms s vrtually flat. hrfor th powr supply ratng s not rqurd to b unncssarly hgh. Furthrmor th dynamc rspons of th powr supply dos not nd to b fast. Not that ths smooth currnt shaps also assur that th radal forcs on th rotor dos not hav pulsd shaps. It s qut asy to conclud that any acoustc nos du to such forcs s also lmnatd for all practcal purposs. h shaft torqu obtand from smulatons s gvn n Fg dsgma/ sgma torqu rror Fg. 6 Sgmod functon sgma Volt tm sc Ampr tm sc Fg. 7 Phas voltaga and currnt b wavform for th smulaton at Nm 785 rpm usng sgmod functon Smulaton stp sz: μsc

9 Nm tm sc Fg. 8 Smulaton rsults for a total shaft torqu of Nm at 785 rpm. Smulaton stp tm μsc Mor ralstc smulaton rsults Onc th choc of th control structur s dcdd a mor ralstc smulaton of th controllr and th motor s mad. In ths cas th dc ln voltag V DC s fxd at 3 V th ntgraton stp s tan as μs as bfor. h calculatd rfrnc sgnal s assumd to b producd by a Hz PWM modulator actng on th DC ln voltag. h phas currnt valus ar agan solvd from rlatd quatons. h poston nformaton s calculatd from th constant opratng spd. h smulator acqurs currnt and poston data to calculat th nxt rfrnc voltag. It s assumd that th tm th mcroprocssor would ta to do th rqurd calculatons shall b n th ordr of μs so th control s appld at vry μs. Howvr ths rfrnc lvl s fd to th controllr aftr μs. Untl ths prod s compltd th smulaton s contnud wth th prvous rfrnc voltag lvl. Control paramtr α s chosn as 3 aftr som trals. h choc of ths paramtr dpnds on th systm dynamcs and th controlld paramtrs so durng smulatons som xprmntaton wth th valu of α s ncssary to rmn a sutabl valu for th control systm. h rsults of ths typ of smulaton ar gvn n Fg. 9 for Nm torqu rfrnc at 785 rpm. It can b obsrvd from ths fgur that th shaft torqu fluctuaton s largr about 4% n ths cas as compard to th rsult n Fg. 8. hs s an xpctd fndng snc thr s now a ralstc dlay on th control acton. h phas currnt wavforms for th conons mntond abov ar gvn n Fg. 9. h currnt magntud and shap s qut smlar to th rsults found n arlr smulatons. Ampr tm sc Nm tm sc Fg. 9 a Phas currnts wth Hz PWM for Nm at 785 rpm b otal shaft torqu wth Hz PWM for Nm at 785 rpm

10 Hardwar Implmntaton Wth ths undrstandng of th problm th dvlopd control schm s mplmntd on a dspace DS4 controllr board. h phas voltag control s achvd by th sam procssor controllng 4 PWM outputs at Hz wth th rfrnc voltags provdd by th control stratgy. h swtchng rqurd by th controllr s usd to drv th transstors of an SR motor drvr. Hnc th phas voltags could b st as computd by th controllr. h DC ln voltag of th SRM drv s obtand by rctfyng a sngl-phas 5 Hz AC supply and th DC bus voltag s st to 3V. h drvr s usd to drv a 5 V four-phas 8/6 SRM whch producs a low spd runnng torqu of approxmatly.3 Nm at th ratd currnt of 3 A. h controllr algorthm s dvlopd on Matlab Smuln and thn mplmntd on a dspace DS4 controllr board. For th controllr mplmntaton masurd statc torqu-currnt-poston and flux lnagcurrnt-poston curvs ar usd as dscrbd n th smulatons. h motor s coupld to a magntc powdr bra wth a rotatng torqu transducr n btwn th two shafts. h motor runs wth a Nm torqu rfrnc at 785 rpm as n th smulatons. Exprmntal Rsults In Fg. xprmntal rsults for th phas currnts ar gvn at th xprmnt conons. In ths cas torqu rfrnc s chosn as Nm at a rotor spd of 785 rpm. Hz PWM sgnals ar usd just as th smulatons. Rsults obtand from th xprmnts dsplay a good torqu rfrnc tracng capablty and rducton prcvd n nos lvl. If th smulatd and th xprmntd currnt wavforms n Fg. 9 and Fg. ar compard t can b obsrvd that th currnt magntud and shap ar qut smlar to prdctons. h shaft torqu s obsrvd to fluctuat btwn.88 and.93 Nm. h controllr dos not nclud th frcton and wndag losss so th masurd torqu s smallr than th xpctd valu. Furthrmor th controllr rls on th accuracy of th data and th modl usd n th controllr. Fg. Currnt and voltag wavforms at 785 rpm Nm rac : Phas voltag controlld by PWM Volts/dv rac : Phas currnt A/dv Conclusons In ths study t s shown that Sldng Mod Control can b usd to obtan smooth lctromchancal torqu from SR motors provdd that SMC functon s wll chosn. Furthrmor t s obsrvd that th currnt

11 wavforms ar not fast changng and do not hav pay wavforms contrbutng to th rducton of nos. Both th smulatons and xprmnts showd that a 4 phas 5 V SRM shaft torqu could b controlld to follow th rfrnc lvl st. It s also shown that th torqu rppl s vry small. In th applcaton hr PWM modulatd phas voltags ar usd for control purpos. Dspt ths.. th voltags appld ar formd of pulss rducton n audo nos lvl s prcvd. h smulatons and th mplmntaton hr hav crtan smplfcatons mposd to dntfy whthr th ntal da was vald. In th lght of ths promsng fndngs thr s nd for furthr nvstgaton. For xampl th spd rang n whch th control can b achvd nds to b rmnd. h control stratgy can b furthr dvlopd to nclud th advanc angl control to xtnd th spd rang. Of cours th masurmnt of acoustc nos lvls and vbraton wth and wthout th controllr would also b vry usful. h computaton tm on th DSP board s not nown at ths stag as th controllr softwar s downloadd from Matlab Smuln and th cod s by no mans optmzd. Rfrncs [] M. Ilc-Spong. J. E. Mllr S. R. MacMnn and J. S. horp Instantanous torqu control of lctrc motor drvs IEEE rans. Powr Elctron. vol. pp Jan [] P. G. Barrass B.C. Mcrow Flux and torqu control of swtchd rluctanc machns IEE Proc. Elctr. Powr Appl. Vol. 45 No.6 Nov. 998 pp [3] Ahmd M. Osama Hossam A. Abdl Fattah Ahmd M. Sar Varabl structur flux lnag controllr for torqu rppl mnmzaton n swtchd rluctanc motors Amrcan Control Confrnc. Procdngs of th Vol. 4 pp [4] D. G. aylor An xprmntal study on compost control of swtchd rluctanc motors IEEE Control Syst. Mag. 99 pp [5] Husan and M. Ehsan orqu rppl mnmzaton n swtchd rluctanc motor drvs by PWM currnt control IEEE rans. Powr Elctron vol. pp Jan [6] M. Ilc-Spong R. Marno S.M. Prsada D.G. aylor Fdbac lnarzng control of swtchd rluctanc motors IEEE rans. Auto. Control vol.ac-3 no pp [7] Guspp S. Buja Robrto Mns Mara I. Valla Varabl structur control of an SRM drv IEEE ransactons on Ind. Elctroncs Vol. 4 No. Fbruary 993 pp [8] J. M. Stphnson J. Corda Computaton of torqu and currnt n doubly salnt rluctanc motors from nonlnar magntsaton data Proc. IEE Vol.6 No.5 May 979 pp [9] Ertan H.B. Daşdmr B. An Approach to Analyss and Dsgn of Swtchd Rluctanc Motors ISEF - Sptmbr Cracow-Poland pp [] Ertan H.B. "Analytcal Prdcton of orqu and Inductanc Charactrstcs of Idntcally Slottd Doubly- Salnt Rluctanc Motors" IEE Proc. Pt B 33 No [] Krshnan R. Swtchd Rluctanc Motor Drvs: Modlng Smulaton Analyss Dsgn and Applcatons CRC Prss.

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP

COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP ISAHP 00, Bal, Indonsa, August -9, 00 COMPLEX NUMBER PAIRWISE COMPARISON AND COMPLEX NUMBER AHP Chkako MIYAKE, Kkch OHSAWA, Masahro KITO, and Masaak SHINOHARA Dpartmnt of Mathmatcal Informaton Engnrng

More information

Physics of Very High Frequency (VHF) Capacitively Coupled Plasma Discharges

Physics of Very High Frequency (VHF) Capacitively Coupled Plasma Discharges Physcs of Vry Hgh Frquncy (VHF) Capactvly Coupld Plasma Dschargs Shahd Rauf, Kallol Bra, Stv Shannon, and Kn Collns Appld Matrals, Inc., Sunnyval, CA AVS 54 th Intrnatonal Symposum Sattl, WA Octobr 15-19,

More information

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION

CHAPTER 7d. DIFFERENTIATION AND INTEGRATION CHAPTER 7d. DIFFERENTIATION AND INTEGRATION A. J. Clark School o Engnrng Dpartmnt o Cvl and Envronmntal Engnrng by Dr. Ibrahm A. Assakka Sprng ENCE - Computaton Mthods n Cvl Engnrng II Dpartmnt o Cvl and

More information

A Note on Estimability in Linear Models

A Note on Estimability in Linear Models Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,

More information

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization THE UNIVERSITY OF MARYLAND COLLEGE PARK, MARYLAND Economcs 600: August, 007 Dynamc Part: Problm St 5 Problms on Dffrntal Equatons and Contnuous Tm Optmzaton Quston Solv th followng two dffrntal quatons.

More information

Lecture 3: Phasor notation, Transfer Functions. Context

Lecture 3: Phasor notation, Transfer Functions. Context EECS 5 Fall 4, ctur 3 ctur 3: Phasor notaton, Transfr Functons EECS 5 Fall 3, ctur 3 Contxt In th last lctur, w dscussd: how to convrt a lnar crcut nto a st of dffrntal quatons, How to convrt th st of

More information

8-node quadrilateral element. Numerical integration

8-node quadrilateral element. Numerical integration Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll

More information

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University

External Equivalent. EE 521 Analysis of Power Systems. Chen-Ching Liu, Boeing Distinguished Professor Washington State University xtrnal quvalnt 5 Analyss of Powr Systms Chn-Chng Lu, ong Dstngushd Profssor Washngton Stat Unvrsty XTRNAL UALNT ach powr systm (ara) s part of an ntrconnctd systm. Montorng dvcs ar nstalld and data ar

More information

Decentralized Adaptive Control and the Possibility of Utilization of Networked Control System

Decentralized Adaptive Control and the Possibility of Utilization of Networked Control System Dcntralzd Adaptv Control and th Possblty of Utlzaton of Ntworkd Control Systm MARIÁN ÁRNÍK, JÁN MURGAŠ Slovak Unvrsty of chnology n Bratslava Faculty of Elctrcal Engnrng and Informaton chnology Insttut

More information

Analyzing Frequencies

Analyzing Frequencies Frquncy (# ndvduals) Frquncy (# ndvduals) /3/16 H o : No dffrnc n obsrvd sz frquncs and that prdctd by growth modl How would you analyz ths data? 15 Obsrvd Numbr 15 Expctd Numbr from growth modl 1 1 5

More information

HORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WITH VARIABLE PROPERTIES

HORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WITH VARIABLE PROPERTIES 13 th World Confrnc on Earthquak Engnrng Vancouvr, B.C., Canada August 1-6, 4 Papr No. 485 ORIZONTAL IMPEDANCE FUNCTION OF SINGLE PILE IN SOIL LAYER WIT VARIABLE PROPERTIES Mngln Lou 1 and Wnan Wang Abstract:

More information

ST 524 NCSU - Fall 2008 One way Analysis of variance Variances not homogeneous

ST 524 NCSU - Fall 2008 One way Analysis of variance Variances not homogeneous ST 54 NCSU - Fall 008 On way Analyss of varanc Varancs not homognous On way Analyss of varanc Exampl (Yandll, 997) A plant scntst masurd th concntraton of a partcular vrus n plant sap usng ELISA (nzym-lnkd

More information

Basic Electrical Engineering for Welding [ ] --- Introduction ---

Basic Electrical Engineering for Welding [ ] --- Introduction --- Basc Elctrcal Engnrng for Wldng [] --- Introducton --- akayosh OHJI Profssor Ertus, Osaka Unrsty Dr. of Engnrng VIUAL WELD CO.,LD t-ohj@alc.co.jp OK 15 Ex. Basc A.C. crcut h fgurs n A-group show thr typcal

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

Outlier-tolerant parameter estimation

Outlier-tolerant parameter estimation Outlr-tolrant paramtr stmaton Baysan thods n physcs statstcs machn larnng and sgnal procssng (SS 003 Frdrch Fraundorfr fraunfr@cg.tu-graz.ac.at Computr Graphcs and Vson Graz Unvrsty of Tchnology Outln

More information

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D

10/7/14. Mixture Models. Comp 135 Introduction to Machine Learning and Data Mining. Maximum likelihood estimation. Mixture of Normals in 1D Comp 35 Introducton to Machn Larnng and Data Mnng Fall 204 rofssor: Ron Khardon Mxtur Modls Motvatd by soft k-mans w dvlopd a gnratv modl for clustrng. Assum thr ar k clustrs Clustrs ar not rqurd to hav

More information

Lecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS

Lecture 23 APPLICATIONS OF FINITE ELEMENT METHOD TO SCALAR TRANSPORT PROBLEMS COMPUTTION FUID DYNMICS: FVM: pplcatons to Scalar Transport Prolms ctur 3 PPICTIONS OF FINITE EEMENT METHOD TO SCR TRNSPORT PROBEMS 3. PPICTION OF FEM TO -D DIFFUSION PROBEM Consdr th stady stat dffuson

More information

??? Dynamic Causal Modelling for M/EEG. Electroencephalography (EEG) Dynamic Causal Modelling. M/EEG analysis at sensor level. time.

??? Dynamic Causal Modelling for M/EEG. Electroencephalography (EEG) Dynamic Causal Modelling. M/EEG analysis at sensor level. time. Elctroncphalography EEG Dynamc Causal Modllng for M/EEG ampltud μv tm ms tral typ 1 tm channls channls tral typ 2 C. Phllps, Cntr d Rchrchs du Cyclotron, ULg, Blgum Basd on slds from: S. Kbl M/EEG analyss

More information

Optimal Ordering Policy in a Two-Level Supply Chain with Budget Constraint

Optimal Ordering Policy in a Two-Level Supply Chain with Budget Constraint Optmal Ordrng Polcy n a Two-Lvl Supply Chan wth Budgt Constrant Rasoul aj Alrza aj Babak aj ABSTRACT Ths papr consdrs a two- lvl supply chan whch consst of a vndor and svral rtalrs. Unsatsfd dmands n rtalrs

More information

CHAPTER 33: PARTICLE PHYSICS

CHAPTER 33: PARTICLE PHYSICS Collg Physcs Studnt s Manual Chaptr 33 CHAPTER 33: PARTICLE PHYSICS 33. THE FOUR BASIC FORCES 4. (a) Fnd th rato of th strngths of th wak and lctromagntc forcs undr ordnary crcumstancs. (b) What dos that

More information

Radial Cataphoresis in Hg-Ar Fluorescent Lamp Discharges at High Power Density

Radial Cataphoresis in Hg-Ar Fluorescent Lamp Discharges at High Power Density [NWP.19] Radal Cataphorss n Hg-Ar Fluorscnt Lamp schargs at Hgh Powr nsty Y. Aura, G. A. Bonvallt, J. E. Lawlr Unv. of Wsconsn-Madson, Physcs pt. ABSTRACT Radal cataphorss s a procss n whch th lowr onzaton

More information

Ch. 9 Common Emitter Amplifier

Ch. 9 Common Emitter Amplifier Ch. 9 Common mttr mplfr Common mttr mplfr nput and put oltags ar 180 o -of-phas, whl th nput and put currnts ar n-phas wth th nput oltag. Output oltag ( V ) V V V C CC C C C C and V C ar -of-phas 10 μ

More information

MECH321 Dynamics of Engineering System Week 4 (Chapter 6)

MECH321 Dynamics of Engineering System Week 4 (Chapter 6) MH3 Dynamc of ngnrng Sytm Wk 4 (haptr 6). Bac lctrc crcut thor. Mathmatcal Modlng of Pav rcut 3. ompl mpdanc Approach 4. Mchancal lctrcal analogy 5. Modllng of Actv rcut: Opratonal Amplfr rcut Bac lctrc

More information

Electrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces

Electrochemical Equilibrium Electromotive Force. Relation between chemical and electric driving forces C465/865, 26-3, Lctur 7, 2 th Sp., 26 lctrochmcal qulbrum lctromotv Forc Rlaton btwn chmcal and lctrc drvng forcs lctrochmcal systm at constant T and p: consdr G Consdr lctrochmcal racton (nvolvng transfr

More information

167 T componnt oftforc on atom B can b drvd as: F B =, E =,K (, ) (.2) wr w av usd 2 = ( ) =2 (.3) T scond drvatv: 2 E = K (, ) = K (1, ) + 3 (.4).2.2

167 T componnt oftforc on atom B can b drvd as: F B =, E =,K (, ) (.2) wr w av usd 2 = ( ) =2 (.3) T scond drvatv: 2 E = K (, ) = K (1, ) + 3 (.4).2.2 166 ppnd Valnc Forc Flds.1 Introducton Valnc forc lds ar usd to dscrb ntra-molcular ntractons n trms of 2-body, 3-body, and 4-body (and gr) ntractons. W mplmntd many popular functonal forms n our program..2

More information

Journal of Theoretical and Applied Information Technology 10 th January Vol. 47 No JATIT & LLS. All rights reserved.

Journal of Theoretical and Applied Information Technology 10 th January Vol. 47 No JATIT & LLS. All rights reserved. Journal o Thortcal and Appld Inormaton Tchnology th January 3. Vol. 47 No. 5-3 JATIT & LLS. All rghts rsrvd. ISSN: 99-8645 www.att.org E-ISSN: 87-395 RESEARCH ON PROPERTIES OF E-PARTIAL DERIVATIVE OF LOGIC

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

Soft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D

Soft k-means Clustering. Comp 135 Machine Learning Computer Science Tufts University. Mixture Models. Mixture of Normals in 1D Comp 35 Machn Larnng Computr Scnc Tufts Unvrsty Fall 207 Ron Khardon Th EM Algorthm Mxtur Modls Sm-Suprvsd Larnng Soft k-mans Clustrng ck k clustr cntrs : Assocat xampls wth cntrs p,j ~~ smlarty b/w cntr

More information

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd

More information

A RELIABLE MATRIX CONVERTER FED INDUCTION MOTOR DRIVE SYSTEM BASED ON PARAMETER PLANE SYNTHESIS METHOD

A RELIABLE MATRIX CONVERTER FED INDUCTION MOTOR DRIVE SYSTEM BASED ON PARAMETER PLANE SYNTHESIS METHOD Journal of Rlablty and Statstcal Studs; ISSN (Prnt): 0974-8024, (Onln): 2229-5666 ol. 9, Issu (206): 0-0 A RELIABLE MATRIX CONERTER FED INDUCTION MOTOR DRIE SYSTEM BASED ON PARAMETER PLANE SYNTHESIS METHOD

More information

The Fourier Transform

The Fourier Transform /9/ Th ourr Transform Jan Baptst Josph ourr 768-83 Effcnt Data Rprsntaton Data can b rprsntd n many ways. Advantag usng an approprat rprsntaton. Eampls: osy ponts along a ln Color spac rd/grn/blu v.s.

More information

Jones vector & matrices

Jones vector & matrices Jons vctor & matrcs PY3 Colást na hollscol Corcagh, Ér Unvrst Collg Cork, Irland Dpartmnt of Phscs Matr tratmnt of polarzaton Consdr a lght ra wth an nstantanous -vctor as shown k, t ˆ k, t ˆ k t, o o

More information

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline

September 27, Introduction to Ordinary Differential Equations. ME 501A Seminar in Engineering Analysis Page 1. Outline Introucton to Ornar Dffrntal Equatons Sptmbr 7, 7 Introucton to Ornar Dffrntal Equatons Larr artto Mchancal Engnrng AB Smnar n Engnrng Analss Sptmbr 7, 7 Outln Rvw numrcal solutons Bascs of ffrntal quatons

More information

Logistic Regression I. HRP 261 2/10/ am

Logistic Regression I. HRP 261 2/10/ am Logstc Rgrsson I HRP 26 2/0/03 0- am Outln Introducton/rvw Th smplst logstc rgrsson from a 2x2 tabl llustrats how th math works Stp-by-stp xampls to b contnud nxt tm Dummy varabls Confoundng and ntracton

More information

Section 7 - Controllers for Electric Drive Systems

Section 7 - Controllers for Electric Drive Systems ELEC463 Scton 7 - Controllrs for 7. Introducton An lctrcal drv normally has a numbr of control loops rgulatng a numbr of varabls of th drv. Of cours som drvs, such as V-f drvs, may b opratd n opn loop.

More information

Chapter 6 Student Lecture Notes 6-1

Chapter 6 Student Lecture Notes 6-1 Chaptr 6 Studnt Lctur Nots 6-1 Chaptr Goals QM353: Busnss Statstcs Chaptr 6 Goodnss-of-Ft Tsts and Contngncy Analyss Aftr compltng ths chaptr, you should b abl to: Us th ch-squar goodnss-of-ft tst to dtrmn

More information

Comparative Analysis for Extracting Compensation Current for Shunt Active Filter

Comparative Analysis for Extracting Compensation Current for Shunt Active Filter Ths work by IJARBEST s lcnsd undr Cratv Commons Attrbuton 4.0 Intrnatonal cns. Avalabl at https://www.jarbst.com/archv Comparatv Analyss for Extractng Compnsaton Currnt for Shunt Actv Fltr Dhandayuthapan

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

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

EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12

EEC 686/785 Modeling & Performance Evaluation of Computer Systems. Lecture 12 EEC 686/785 Modlng & Prformanc Evaluaton of Computr Systms Lctur Dpartmnt of Elctrcal and Computr Engnrng Clvland Stat Unvrsty wnbng@.org (basd on Dr. Ra Jan s lctur nots) Outln Rvw of lctur k r Factoral

More information

A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION*

A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION* A NEW GENERALISATION OF SAM-SOLAI S MULTIVARIATE ADDITIVE GAMMA DISTRIBUTION* Dr. G.S. Davd Sam Jayakumar, Assstant Profssor, Jamal Insttut of Managmnt, Jamal Mohamd Collg, Truchraall 620 020, South Inda,

More information

EDGE PEDESTAL STRUCTURE AND TRANSPORT INTERPRETATION (In the absence of or in between ELMs)

EDGE PEDESTAL STRUCTURE AND TRANSPORT INTERPRETATION (In the absence of or in between ELMs) I. EDGE PEDESTAL STRUCTURE AND TRANSPORT INTERPRETATION (In th absnc of or n btwn ELMs) Abstract W. M. Stacy (Gorga Tch) and R. J. Grobnr (Gnral Atomcs) A constrant on th on prssur gradnt s mposd by momntum

More information

Naresuan University Journal: Science and Technology 2018; (26)1

Naresuan University Journal: Science and Technology 2018; (26)1 Narsuan Unvrsty Journal: Scnc and Tchnology 018; (6)1 Th Dvlopmnt o a Corrcton Mthod or Ensurng a Contnuty Valu o Th Ch-squar Tst wth a Small Expctd Cll Frquncy Kajta Matchma 1 *, Jumlong Vongprasrt and

More information

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS

ON THE COMPLEXITY OF K-STEP AND K-HOP DOMINATING SETS IN GRAPHS MATEMATICA MONTISNIRI Vol XL (2017) MATEMATICS ON TE COMPLEXITY OF K-STEP AN K-OP OMINATIN SETS IN RAPS M FARAI JALALVAN AN N JAFARI RA partmnt of Mathmatcs Shahrood Unrsty of Tchnology Shahrood Iran Emals:

More information

Review - Probabilistic Classification

Review - Probabilistic Classification Mmoral Unvrsty of wfoundland Pattrn Rcognton Lctur 8 May 5, 6 http://www.ngr.mun.ca/~charlsr Offc Hours: Tusdays Thursdays 8:3-9:3 PM E- (untl furthr notc) Gvn lablld sampls { ɛc,,,..., } {. Estmat Rvw

More information

ACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS

ACOUSTIC WAVE EQUATION. Contents INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS ACOUSTIC WAE EQUATION Contnts INTRODUCTION BULK MODULUS AND LAMÉ S PARAMETERS INTRODUCTION As w try to vsualz th arth ssmcally w mak crtan physcal smplfcatons that mak t asr to mak and xplan our obsrvatons.

More information

Study of Dynamic Aperture for PETRA III Ring K. Balewski, W. Brefeld, W. Decking, Y. Li DESY

Study of Dynamic Aperture for PETRA III Ring K. Balewski, W. Brefeld, W. Decking, Y. Li DESY Stud of Dnamc Aprtur for PETRA III Rng K. Balws, W. Brfld, W. Dcng, Y. L DESY FLS6 Hamburg PETRA III Yong-Jun L t al. Ovrvw Introducton Dnamcs of dampng wgglrs hoc of machn tuns, and optmzaton of stupol

More information

Discrete Shells Simulation

Discrete Shells Simulation Dscrt Shlls Smulaton Xaofng M hs proct s an mplmntaton of Grnspun s dscrt shlls, th modl of whch s govrnd by nonlnar mmbran and flxural nrgs. hs nrgs masur dffrncs btwns th undformd confguraton and th

More information

UNIT 8 TWO-WAY ANOVA WITH m OBSERVATIONS PER CELL

UNIT 8 TWO-WAY ANOVA WITH m OBSERVATIONS PER CELL UNIT 8 TWO-WAY ANOVA WITH OBSERVATIONS PER CELL Two-Way Anova wth Obsrvatons Pr Cll Structur 81 Introducton Obctvs 8 ANOVA Modl for Two-way Classfd Data wth Obsrvatons r Cll 83 Basc Assutons 84 Estaton

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

Modelling of new generation plasma optical devices

Modelling of new generation plasma optical devices NUKLEONIKA 216;61(2):27212 do: 1.1515/nuka-216-35 ORIGINAL PAPER Modllng of nw gnraton plasma optcal dvcs Irna V. Ltovko, Aly A. Goncharov, Andrw N. Dobrovolsky, Lly V. Nako, Irna V. Nako Abstract. Th

More information

Search sequence databases 3 10/25/2016

Search sequence databases 3 10/25/2016 Sarch squnc databass 3 10/25/2016 Etrm valu distribution Ø Suppos X is a random variabl with probability dnsity function p(, w sampl a larg numbr S of indpndnt valus of X from this distribution for an

More information

:2;$-$(01*%<*=,-./-*=0;"%/;"-*

:2;$-$(01*%<*=,-./-*=0;%/;-* !"#$%'()%"*#%*+,-./-*+01.2(.*3+456789*!"#$%"'()'*+,-."/0.%+1'23"45'46'7.89:89'/' ;8-,"$4351415,8:+#9' Dr. Ptr T. Gallaghr Astrphyscs Rsarch Grup Trnty Cllg Dubln :2;$-$(01*%

More information

Fakultät III Univ.-Prof. Dr. Jan Franke-Viebach

Fakultät III Univ.-Prof. Dr. Jan Franke-Viebach Unv.Prof. r. J. FrankVbach WS 067: Intrnatonal Economcs ( st xam prod) Unvrstät Sgn Fakultät III Unv.Prof. r. Jan FrankVbach Exam Intrnatonal Economcs Wntr Smstr 067 ( st Exam Prod) Avalabl tm: 60 mnuts

More information

Decision-making with Distance-based Operators in Fuzzy Logic Control

Decision-making with Distance-based Operators in Fuzzy Logic Control Dcson-makng wth Dstanc-basd Oprators n Fuzzy Logc Control Márta Takács Polytchncal Engnrng Collg, Subotca 24000 Subotca, Marka Orškovća 16., Yugoslava marta@vts.su.ac.yu Abstract: Th norms and conorms

More information

Stress-Based Finite Element Methods for Dynamics Analysis of Euler-Bernoulli Beams with Various Boundary Conditions

Stress-Based Finite Element Methods for Dynamics Analysis of Euler-Bernoulli Beams with Various Boundary Conditions 9 Strss-Basd Fnt Elmnt Mthods for Dynamcs Analyss of Eulr-Brnoull Bams wth Varous Boundary Condtons Abstract In ths rsarch, two strss-basd fnt lmnt mthods ncludng th curvatur-basd fnt lmnt mthod (CFE)

More information

FEFF and Related Codes

FEFF and Related Codes FEFF and Rlatd Cods Anatoly Frnl Profssor Physcs Dpartmnt, Yshva Unvrsty, w Yor, USA Synchrotron Catalyss Consortum, Broohavn atonal Laboratory, USA www.yu.du/faculty/afrnl Anatoly.Frnl@yu.du FEFF: John

More information

OPTIMAL TOPOLOGY SELECTION OF CONTINUUM STRUCTURES WITH STRESS AND DISPLACEMENT CONSTRAINTS

OPTIMAL TOPOLOGY SELECTION OF CONTINUUM STRUCTURES WITH STRESS AND DISPLACEMENT CONSTRAINTS Th Svnth East Asa-Pacfc Confrnc on Structural Engnrng & Constructon August 27-29, 1999, Koch, Japan OPTIMAL TOPOLOGY SELECTION OF CONTINUUM STRUCTURES WITH STRESS AND DISPLACEMENT CONSTRAINTS Qng Quan

More information

GPC From PeakSimple Data Acquisition

GPC From PeakSimple Data Acquisition GPC From PakSmpl Data Acquston Introducton Th follong s an outln of ho PakSmpl data acquston softar/hardar can b usd to acqur and analyz (n conjuncton th an approprat spradsht) gl prmaton chromatography

More information

EXST Regression Techniques Page 1

EXST Regression Techniques Page 1 EXST704 - Rgrssion Tchniqus Pag 1 Masurmnt rrors in X W hav assumd that all variation is in Y. Masurmnt rror in this variabl will not ffct th rsults, as long as thy ar uncorrlatd and unbiasd, sinc thy

More information

CHAPTER 6 DESIGN OF THE PV-UPQC SYSTEM FOR LONG VOLTAGE INTERRUPTION COMPENSATION

CHAPTER 6 DESIGN OF THE PV-UPQC SYSTEM FOR LONG VOLTAGE INTERRUPTION COMPENSATION 125 CHAPTER 6 DESIGN OF THE PV-UPQC SYSTEM FOR LONG VOLTAGE INTERRUPTION COMPENSATION INTRODUCTION Cntralzd powr gnraton systms ar facng th dual constrants of shortag of fossl ful and th nd to rduc hazardous

More information

New Controller Design for PMSG Based Wind Generator with LCL-Filter Considered

New Controller Design for PMSG Based Wind Generator with LCL-Filter Considered Ths s th author's vrson of th papr publshd n ths confrnc. Changs may appar n th publshd vrson. DOI: 1.119/ICElMach.212.635174 Nw Controllr Dsgn for PMSG Basd Wnd Gnrator wth LCL-Fltr Consdrd Marwan Rosyad,

More information

Polytropic Process. A polytropic process is a quasiequilibrium process described by

Polytropic Process. A polytropic process is a quasiequilibrium process described by Polytropc Procss A polytropc procss s a quasqulbrum procss dscrbd by pv n = constant (Eq. 3.5 Th xponnt, n, may tak on any valu from to dpndng on th partcular procss. For any gas (or lqud, whn n = 0, th

More information

Properties of ferromagnetic materials, magnetic circuits principle of calculation

Properties of ferromagnetic materials, magnetic circuits principle of calculation Proprts of frromagntc matrals magntc crcuts prncpl of calculaton Frromagntc matrals Svral matrals rprsnt dffrnt macroscopc proprts thy gv dffrnt rspons to xtrnal magntc fld Th rason for dffrnc s crtan

More information

Dynamic Modeling and Vibration Control for Spacecraft s Solar Array Jian-Ping JIANG 1,a, *, Rui XU 2,b

Dynamic Modeling and Vibration Control for Spacecraft s Solar Array Jian-Ping JIANG 1,a, *, Rui XU 2,b Intrnatonal Confrnc on Mchancs and Cvl Engnrng (ICMCE 2014) Dynamc Modlng and Vbraton Control for Spaccraft s Solar Array Jan-Png JIANG 1,a, *, Ru XU 2,b 1,2 Collg of Arospac Scnc and Engnrng, Natonal

More information

Introduction to logistic regression

Introduction to logistic regression Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data

More information

ITER Performance Study with the Presence of Internal Transport Barrier

ITER Performance Study with the Presence of Internal Transport Barrier J. Plasma Fuson Rs. SERIES, Vol. 8 (9) IER Prformanc Study wth th Prsnc of Intrnal ransport arrr hawatcha Onjun Plasma and Fuson Rsarch Unt, Srndhorn Intrnatonal Insttut of chnology, hammasat Unvrsty,

More information

Fakultät III Wirtschaftswissenschaften Univ.-Prof. Dr. Jan Franke-Viebach

Fakultät III Wirtschaftswissenschaften Univ.-Prof. Dr. Jan Franke-Viebach Unvrstät Sgn Fakultät III Wrtschaftswssnschaftn Unv.-rof. Dr. Jan Frank-Vbach Exam Intrnatonal Fnancal Markts Summr Smstr 206 (2 nd Exam rod) Avalabl tm: 45 mnuts Soluton For your attnton:. las do not

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

Three-Node Euler-Bernoulli Beam Element Based on Positional FEM

Three-Node Euler-Bernoulli Beam Element Based on Positional FEM Avalabl onln at www.scncdrct.com Procda Engnrng 9 () 373 377 Intrnatonal Workshop on Informaton and Elctroncs Engnrng (IWIEE) Thr-Nod Eulr-Brnoull Bam Elmnt Basd on Postonal FEM Lu Jan a *,b, Zhou Shnj

More information

From Structural Analysis to FEM. Dhiman Basu

From Structural Analysis to FEM. Dhiman Basu From Structural Analyss to FEM Dhman Basu Acknowldgmnt Followng txt books wr consultd whl prparng ths lctur nots: Znkwcz, OC O.C. andtaylor Taylor, R.L. (000). Th FntElmnt Mthod, Vol. : Th Bass, Ffth dton,

More information

VLSI Implementation and Performance Evaluation of Low Pass Cascade & Linear Phase FIR Filter

VLSI Implementation and Performance Evaluation of Low Pass Cascade & Linear Phase FIR Filter Intrnatonal Journal of Engnrng and Tchncal Rsarch IJETR ISS: 3-869, Volum-3, Issu-6, Jun 5 VLSI Implmntaton and Prformanc Evaluaton of Low Pass Cascad & Lnar Phas Fltr Jaya Gupta, Arpan Shah, Ramsh Bhart

More information

CHAPTER 4 BIPOLAR JUNCTION TRANSISTORS (BJTs)

CHAPTER 4 BIPOLAR JUNCTION TRANSISTORS (BJTs) HAPER 4 POLAR JUNON RANSSORS (Js) haptr Outln 4.1 Dc Structur and Physcal Opraton 4.2 urrnt oltag haractrstcs 4.3 J rcuts at D 4.4 Applyng th J n Amplfr Dsgn 4.5 Small Sgnal Opraton and Modls 4.6 asc J

More information

Laboratory associate professor Radu Damian Wednesday 12-14, II.12 odd weeks L 25% final grade P 25% final grade

Laboratory associate professor Radu Damian Wednesday 12-14, II.12 odd weeks L 25% final grade P 25% final grade ctur 8/9 C/, MDC Attndanc at mnmum 7 sssons (cours + laboratory) cturs- assocat profssor adu Daman Frday 9-,? III.34, II.3 E 5% fnal grad problms + (p attn. lct.) + (3 tsts) + (bonus actvty) 3p=+.5p all

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

DSCC2012-MOVIC

DSCC2012-MOVIC ASME 5th Annual Dynamc Systms and Control Confrnc jont wth th JSME th Moton and Vbraton Confrnc DSCC-MOVIC Octobr 7-9,, Fort Laudrdal, Florda, USA DSCC-MOVIC-886 LMI CONROL DESIGN FOR NONLINEAR VAPOR COMPRESSION

More information

The Penalty Cost Functional for the Two-Dimensional Energized Wave Equation

The Penalty Cost Functional for the Two-Dimensional Energized Wave Equation Lonardo Jornal of Scncs ISSN 583-033 Iss 9, Jly-Dcmbr 006 p. 45-5 Th Pnalty Cost Fnctonal for th Two-Dmnsonal Enrgd Wav Eqaton Vctor Onoma WAZIRI, Snday Agsts REJU Mathmatcs/Comptr Scnc dpartmnt, Fdral

More information

1- Summary of Kinetic Theory of Gases

1- Summary of Kinetic Theory of Gases Dr. Kasra Etmad Octobr 5, 011 1- Summary of Kntc Thory of Gass - Radaton 3- E4 4- Plasma Proprts f(v f ( v m 4 ( kt 3/ v xp( mv kt V v v m v 1 rms V kt v m ( m 1/ v 8kT m 3kT v rms ( m 1/ E3: Prcntag of

More information

NON-SYMMETRY POWER IN THREE-PHASE SYSTEMS

NON-SYMMETRY POWER IN THREE-PHASE SYSTEMS O-YMMETRY OWER THREE-HAE YTEM Llana Marlna MATCA nvrsty of Orada, nvrstat str., no., 487, Orada; lmatca@uorada.ro Abstract. For thr-phas lctrcal systms, n non-symmtrcal stuaton, an analyz mthod costs on

More information

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches. Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M

More information

A Probabilistic Characterization of Simulation Model Uncertainties

A Probabilistic Characterization of Simulation Model Uncertainties A Proalstc Charactrzaton of Sulaton Modl Uncrtants Vctor Ontvros Mohaad Modarrs Cntr for Rsk and Rlalty Unvrsty of Maryland 1 Introducton Thr s uncrtanty n odl prdctons as wll as uncrtanty n xprnts Th

More information

5.80 Small-Molecule Spectroscopy and Dynamics

5.80 Small-Molecule Spectroscopy and Dynamics MIT OpnCoursWar http://ocw.mit.du 5.80 Small-Molcul Spctroscopy and Dynamics Fall 008 For information about citing ths matrials or our Trms of Us, visit: http://ocw.mit.du/trms. Lctur # 3 Supplmnt Contnts

More information

Shift Control of Power Split Continuously Variable Transmission Fan Xin1, a, *, Zhang Lanchun1, b, Zhao Jingbo1, c

Shift Control of Power Split Continuously Variable Transmission Fan Xin1, a, *, Zhang Lanchun1, b, Zhao Jingbo1, c nd Intrnatonal Confrnc on Adancs n Mchancal Engnrng and Industral Informatcs (AMEII 06 Shft Control of Powr Splt Contnuously Varabl Transmsson Fan Xn, a, *, Zhang Lanchun, b, Zhao ngbo, c School of Automobl

More information

CHAPTER 4. The First Law of Thermodynamics for Control Volumes

CHAPTER 4. The First Law of Thermodynamics for Control Volumes CHAPTER 4 T Frst Law of Trodynacs for Control olus CONSERATION OF MASS Consrvaton of ass: Mass, lk nrgy, s a consrvd proprty, and t cannot b cratd or dstroyd durng a procss. Closd systs: T ass of t syst

More information

APPLICABILITY OF LINEARIZED DUSTY GAS MODEL FOR MULTICOMPONENT DIFFUSION OF GAS MIXTURES IN POROUS SOLIDS. Jelena Markovi and Radovan Omorjan

APPLICABILITY OF LINEARIZED DUSTY GAS MODEL FOR MULTICOMPONENT DIFFUSION OF GAS MIXTURES IN POROUS SOLIDS. Jelena Markovi and Radovan Omorjan APTEFF, 38, 1-19 (7) UC: 66.71.6:66.11 OI:1.98/APT73875M BIBLI: 145-7188 (7) 38, 75-84 Orgnal scntfc papr APPLICABILITY OF LINEARIZE USTY GAS MOEL FOR MULTICOMPONENT IFFUSION OF GAS MIXTURES IN POROUS

More information

Linear Algebra Provides a Basis for Elasticity without Stress or Strain

Linear Algebra Provides a Basis for Elasticity without Stress or Strain Soft, 05, 4, 5-4 Publshd Onln Sptmbr 05 n ScRs. http://www.scrp.org/ournal/soft http://dx.do.org/0.46/soft.05.400 Lnar Algbra Provds a Bass for Elastcty wthout Strss or Stran H. H. Hardy Math/Physcs Dpartmnt,

More information

COMPARISON OF L1 C/A L2C COMBINED ACQUISITION TECHNIQUES

COMPARISON OF L1 C/A L2C COMBINED ACQUISITION TECHNIQUES COMPARION OF C/A C COMBINE ACQUIITION TECHNIQUE Cyrll Grnot, Kyl O Kf and Gérard achapll Poston, ocaton and Navgaton PAN Rsarch Group partmnt of Gomatcs Engnrng, Unvrsty of Calgary chulch chool of Engnrng

More information

Active power filter improvement by new DC link for power quality enhancing

Active power filter improvement by new DC link for power quality enhancing Lonardo Elctronc Journal of Practcs and Tchnologs ISSN 1583-1078 Issu 6, January-Jun 015 p. 177-194 Actv powr fltr mprovmnt by nw DC lnk for powr ualty nhancng Hamdrza GOLSHANI *, Sayd Mohammad SHARIATMADAR

More information

FREE VIBRATION ANALYSIS OF FUNCTIONALLY GRADED BEAMS

FREE VIBRATION ANALYSIS OF FUNCTIONALLY GRADED BEAMS Journal of Appl Mathatcs an Coputatonal Mchancs, (), 9- FREE VIBRATION ANAYSIS OF FNCTIONAY GRADED BEAMS Stansław Kukla, Jowta Rychlwska Insttut of Mathatcs, Czstochowa nvrsty of Tchnology Czstochowa,

More information

A Quasi-Static Approach to Minimizing Energy Consumption in Real-Time Systems under Reward Constraints

A Quasi-Static Approach to Minimizing Energy Consumption in Real-Time Systems under Reward Constraints n Proc. Intl. Confrnc on Ral-Tm and mbddd Computng Systms and Applcatons, 2006, pp. 279-286. A Quas-Statc Approach to Mnmzng nrgy Consumpton n Ral-Tm Systms undr Rward Constrants Lus Aljandro Cortés 1

More information

Observer Bias and Reliability By Xunchi Pu

Observer Bias and Reliability By Xunchi Pu Obsrvr Bias and Rliability By Xunchi Pu Introduction Clarly all masurmnts or obsrvations nd to b mad as accuratly as possibl and invstigators nd to pay carful attntion to chcking th rliability of thir

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 301 Signals & Systms Prof. Mark Fowlr ot St #21 D-T Signals: Rlation btwn DFT, DTFT, & CTFT 1/16 W can us th DFT to implmnt numrical FT procssing This nabls us to numrically analyz a signal to find

More information

Group Codes Define Over Dihedral Groups of Small Order

Group Codes Define Over Dihedral Groups of Small Order Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal

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

SCITECH Volume 5, Issue 1 RESEARCH ORGANISATION November 17, 2015

SCITECH Volume 5, Issue 1 RESEARCH ORGANISATION November 17, 2015 Journal of Informaton Scncs and Computng Tchnologs(JISCT) ISSN: 394-966 SCITECH Volum 5, Issu RESEARCH ORGANISATION Novmbr 7, 5 Journal of Informaton Scncs and Computng Tchnologs www.sctcrsarch.com/journals

More information

Numerical Study of Two-fluid Flowing Equilibria of Helicity-driven Spherical Torus Plasmas

Numerical Study of Two-fluid Flowing Equilibria of Helicity-driven Spherical Torus Plasmas Numrcal Study of Two-flud Flowng Equlbra of Hlcty-drvn Sphrcal Torus Plasmas T. Kank M. Nagata and T. Uyama Japan Coast Guard Acadmy 5-1 Wakaba Kur Hroshma 737-851 Japan Dpartmnt of Elctrcal Engnrng and

More information

Mathematical Model of Arterial Hemodynamics, Description, Computer Implementation, Results Comparison

Mathematical Model of Arterial Hemodynamics, Description, Computer Implementation, Results Comparison Appld Physcs Rsarch; Vol. 5, No. 3; 3 ISSN 96-9639 E-ISSN 96-9647 Publshd by Canadan Cntr of Scnc and Educaton Mathmatcal Modl of Artral Hmodynamcs, Dscrpton, Computr Implmntaton, Rsults Comparson Elshn

More information

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

More information

Α complete processing methodology for 3D monitoring using GNSS receivers

Α complete processing methodology for 3D monitoring using GNSS receivers 7-5-5 NATIONA TECHNICA UNIVERSITY OF ATHENS SCHOO OF RURA AND SURVEYING ENGINEERING DEPARTMENT OF TOPOGRAPHY AORATORY OF GENERA GEODESY Α complt procssng mthodology for D montorng usng GNSS rcvrs Gorg

More information