ROBUST TRAJECTORY TRACKING CONTROL OF UNDERACTUATED UNDERWATER VEHICLE SUBJECT TO UNCERTAINTIES

Size: px
Start display at page:

Download "ROBUST TRAJECTORY TRACKING CONTROL OF UNDERACTUATED UNDERWATER VEHICLE SUBJECT TO UNCERTAINTIES"

Transcription

1 Joal of Mai Scic ad chology, Vol 5, No, pp 8-98 (7) 8 DOI: 69/JMS-6-9- OBUS AJECOY ACKING CONOL OF UNDEACUAED UNDEWAE VEHICLE SUBJEC O UNCEAINIES Ya Ch, Jig Li, Kagli Wag, ad Shog Nig Ky wod: dactatd dwat hicl, backtppig cotol modl, paamt ctaiti, tajctoy tackig cotol ABSAC A compoit obt cotol chm i popod by combiig a lidig mod cotoll with a adapti fzzy cotol algoithm to cotol a -DOF dactatd dwat hicl with modl paamt ptbatio ad iomtal ditbac bad o th backtppig cotol mthod ad th Lyapo tability thoy h adapti fzzy cotol algoithm i mployd to compat fo modl paamt ptbatio ad th lidig mod cotoll i adoptd to limiat th ffct of iomtal ditbac ad appoximatio o A hoizotal dyamic modl ad tackig o qatio a tablihd to dcib th tajctoy tackig cotol fo th dactatd dwat hicl h latio btw lidig mod cotol gai ad modl paamt ctaiti i did to dtmi th o limiatig ability of th cotoll h cogc ad tability of th compoit obt cotoll a dmotatd ig th Lyapo dict mthod h popod cotol chm i imlatd fo a -DOF dactatd dwat hicl ad it fficicy i th o limiatio i alidatd i mical imlatio lt cofim that th compoit obt cotol law ca b d to achi a obt ad pfabl cotol pfomac fo th hoizotal tajctoy tackig cotol of th hicl I INODUCION May of today dwat hicl a dactatd hicl d to thi pottial bfit o fll actatd AUV h icld a good cotol chm ad a tamlid hap a wll a a dctio i wat itac ad wight (Ch t al, 6) ackig ad tabilizatio cotol fo dactatd Pap bmittd 4/6/6; id 9/6/6; accptd /9/6 Atho fo copodc: Shog Nig (-mail: ighog@6com) School of Mchaical, Elctical & Ifomatio Egiig, Shadog Uiity at Wihai, Chia Yatai Idty & ad chicia Collg, Yatai, Chia dwat hicl a difficlt bca of th o-poio of dg of fdom byod th cotol (Khalid t al, 4) Moo, th dyamic modl of a dactatd dwat hicl i highly copld ad olia d to th -chagig at of oca ct ad om hydodyamic cofficit (ho ad Fo, ) h dactatd dwat hicl i o agil that th cotioal lia cotol mthod caot flly xploit it maability Bocktt hom (Bocktt, 98) dmotat that ay fdback cotol law of a cotio tim-iaiat ytm cold ot tabiliz th dactatd hicl aymptotically accodig to th ll oltio O th lat fw ya, a lag mb of tdi w codctd i th aa of motio cotol of dactatd dwat hicl Cotol algoithm potd i th litat ca b claifid ito two catgoi: modl-bad cotol ad omodl-bad cotol h o-modl bad cotol appoach i bad o th PID cotoll (Koh t al, 6; Khodayai ad Balochia, 5), th al twok cotoll (Pak, 4) ad th fzzy cotoll (aimodi ad Mllo, ), i which ach popli moto i cotolld idpdtly I gal, thi kid of appoach poid th implt cotol tct bt oft lt i poo tait pfomac omtim ltig i ohoot ad ddampd po h modl-bad appoach, how, qi th dyamic modl of dwat hicl to dfi th cotol law ad ha xcllt pfomac i qick o cogc ad accacy h lidig modl cotol mthod, a wll-kow modl-bad appoach, wa d to ol th tajctoy tackig cotol poblm fo dactatd dwat hicl (X t al, 5; Ya t al, 5) How, th dag foc i th modl wa tablihd ig a lia fctio of th locity ad th wa alid oly at low lociti Moo, thi kid of cotol mthod ltd i a did high fqcy aiatio i th tady tat Aoth wll-kow modl-bad cotol appoach i th backtppig mthod, which ca poid a atifactoy cotol pfomac i th pc of a accat dyamic modl Som backtppig mthod w ptd by om ach (Ghommam ad Saad, ; Li t al, 5; Qi, 5) fo tajctoy tackig cotol of dactatd dwat hicl h taimt of a accat dyamic modl, how, i a ticky tak d to iitabl implificatio ad oth tagibl facto ch a backlah o fictio

2 84 Joal of Mai Scic ad chology, Vol 5, No (7) Som obt backtppig cotoll (Jia t al, ) o adapti backtppig cotol appoach (Ghommam ad Saad, ) w popod to gaat th cotol pfomac i pc of modl paamt ctaiti Althogh th ffct of mall paamt ctaiti o th cotol pfomac w itigatd by tho ach, th latiohip btw th cotol gai ad paamt ctaiti wa ot coidd i thi tdi A hicl d th ol of th cotoll may lo th ability to qickly ad accatly tack th did tajctoi I additio, tho backtppig mthod did ot coid th iflc of iomtal ditbac ad ma ctaiti i thi modl, which may affct thi tait po, cogc, cotol ffot ad obt I thi pap, a compoit obt cotol chm i popod to combi th lidig mod cotoll with th adapti fzzy cotol algoithm hi cotol chm i d to cotol a -DOF dactatd dwat hicl with modl paamt ptbatio ad iomtal ditbac bad o backtppig cotol mthod ad Lyapo tability thoy Adapti fzzy cotol algoithm i mployd to compat fo modl paamt ptbatio ad th lidig mod cotoll i adoptd to limiat th ffct of iomtal ditbac ad appoximatio o h hoizotal dyamic modl ad tackig o qatio a tablihd fo th tajctoy tackig cotol of th dactatd dwat hicl h latio btw th lidig mod cotol gai ad modl paamt ctaiti i did to dtmi th cotoll o limiatig ability h popod cotol chm i imlatd ad it fficicy i ttd ad alidatd ig mical imlatio of a -DOF dactatd dwat hicl I thi pap, dyamic modllig i bifly itodcd i ctio ad a kimatic o modl i ptd i ctio h dig of th compoit obt cotoll ad it paamt lctio ad tability aalyi a poidd i ctio 4 ad 5, pctily Fially, th mical imlatio ad coclio a ptd i ctio 6 ad 7, pctily II DYNAMICAL MODELING AND POBLEM FOMULAION h dyamic modl i tablihd i thi ctio to dcib a dactatd dwat hicl moig i th hoizotal pla h copodig hicl tajctoy tackig cotol poblm i th fomlatd Dyamic Modlig of a Udactatd Udwat Vhicl h dyamic modl of a dactatd dwat hicl i th hoizotal pla i fit itodcd Fig illtat a dactatd dwat hicl ad it fc fam h itial fam {O I X I Y I } i coidd to b fixd, i which axi Z i i th gaitatioal dictio ad th oth two ax (X ad Y) a ppdicla to it I cotat, th body fc fam, alo kow a th moig fam, i t at th gomtic ct of th dwat hicl (amly, th ct of gaity) h (g) x B (yaw) z B τ {B} y B (way) Fig h dactatd dwat hicl ad it fc fam logitdial axi (x B ) poit i th dictio fom th tail to th o whil th hoizotal axi (y B ) poit fom th lft id to th ight id Accodig to Fo (ho ad Fo, ), th olia dyamic modl of th -DOF dactatd dwat hicl ca b witt i th fom of th followig ifom matix: F X ψ J M C D w wh = [x, y, ] dot th diplacmt (x, y) ad th yaw agl of th dwat hicl i th itial fam; = [,, ] pt th g, way, ad yaw lociti of th dwat hicl i th body fc fam whil th cto = [F,, ] icldig th g foc of F ad th yaw toq of h xtal ditbac of th oca ct i Eq () a xpd a w = [w, w, w ] ad matic J(), D(), C(), ad M a dfid a follow: co i J = i co, X X D = Y Y N N C = m m m m, m M= m, m x B, Z {I} Y y B ()

3 Y Ch t al: obt Cotol of AUV Sbjct to Uctaiti 85 i which m m X, m my, m Iz N I th abo matic, X, X, Y, Y, N, N dot th qadatic ad lia dag cofficit dfid i th fc (Gamh ad Nkoo, 5); m dot th dwat hicl ma ad X, Y, N a th addd ma ad I z i th itia with pct to th tical axi h omial al of dag cofficit X, N, X, Y, Y, N a gally ot accat ogh h latio amog th actal al Q, th omial al Q, ad th ptbd al Q of y dag cofficit ca b xpd a Q = Q Q I pactical applicatio, th ptbd al Q i alway bodd Accodig to th fc (Atp t al, 5), th omial al of a dwat hiclʼ ma ad it addd ma ca b aily obtaid ad th diffc btw th omial al ad th actal al i ally y mall h, it i amd that th hicl ma ad th addd ma atify th followig iqality: m m ad m m, amly m m ad m m, wh -5 < < Wh th actal, th omial, ad th ptbd paamt a icopoatd ito th dyamic modl i Eq (), th dyamic qatio i witt a: wh m m X X w F m m Y Y w m m m N N w w m m w ; w m m w ; w m -m m w ; X X ; Y Y ad N N Oca Ct Ditbac ad Poblm Fomlatio h pfomac of a dwat hicl i gatly affctd by th oca ct d th oca fac How, thi kid of ditbac i y difficlt to dcib accatly i th modl I od to btt xp th oca ct ditbac with a boday, th ditbac w = [w, w, w ] i dfid i th body fc fam i thi pap a how blow (ho ad Fo, ): ii bi ii i bi,mi bi bi, b i ii bi ii g bi () i bi bi,mi o bi bi, () O {I} y y Y locity dictio Y B y x {B} O B Y F x x locity dictio Q {F} X B = locity dictio X F X ψ ψ actal path ψ locity dictio did path Fig h chmatic diagam of hoizotal path followig 7 J b t w t 7 wh w = [w, w, w ] dot th ditbac foc ad momt i th itial fam; xp th Ga whit oi with zo ma al; diag ii diagoal matix ad (4) a a poiti diag a a diagoal matix xp Ga whit oi h cotol poblm of th dactatd dwat hicl with ctaiti ca b xpd a follow: fo a gi did tajctoy [x, y, ], th g cotol foc of F ad th yaw cotol toq of hold b fod ch that th tajctoy tackig o cto [x, y, ] = [x x, y y, ], wh th cto [x, y, ] dot th actal tajctoy, cog to a al a th oigial poit with a y mall ocillatio III KINEMAIC EO MODEL OF AN UNDEACUAED UNDEWAE VEHICLE I thi ctio, a kimatic o modl i tablihd to dcib th tajctoy tackig cotol fo th dactatd dwat hicl ad i d to gid th dig of cotoll I Fig, {O B X B Y B }, {OXY} ad {O F X F Y F } pt th actal body-fixd fam, th itial fam ad th did path cotitt fam pctily, wh Q i a abitay poit o th did tackig path to b followd h coodiat of ital poit Q o th did tackig path of Q = [x, y, ] ca b dcibd a a fctio of tim ad th th poitio of poit Q i th itial fam o th actal path ca b xpd a: ii Q x, y, (5)

4 86 Joal of Mai Scic ad chology, Vol 5, No (7) h did hoizotal locity of th dwat hicl i fa mall tha it did logitdial locity wh o xtmly lag xtal ditbac xit Moo, th iflc of th hoizotal locity o th tackig pfomac i alo ot igificat I od to th mooth of tackig c, x ad y a qid to b cotioly difftiabl h, th did locity at ital poit Q i th itial fam ca b dfid a: x y (6) Q S Q Q Q Q S Q xco yi S xi yco () h itctio agl of btw th did locity cto of Q ad th hoizotal axi i th itial fam i dfid a th otatioal agl fom fam {O B X B Y B } to fam {OXY} ad ca b xpd a: y acta x x = y acta x x By dfiig Q = [x, y, ] a th actal poitio cto of th dwat hicl i th itial fam ad Q = [x, y, ] a th did poitio cto of th poit, th tackig o cto, = [x, y, ], ca b xpd i th actal bodyfixd fam by th followig qatio: (7) Q Q (8) wh () i th otatio tafomatio matix fom th itial fam to th body-fixd fam ad i paamtizd locally by agl with th followig latiohip: co i = i co By takig th diati of ɛ, Eq (8) bcom (9) Q Q Q Q () ad wh S S Eq () ca b witt a S = Symbol i Fig dot th itctio agl btw th did locity Q ad th logitdial axi i th actal body-fixd fam ad ca b calclatd fom th diffc btw th actal yaw agl () ad th did yaw agl ( ) a = h cod tm of x co y i, xi y co, i Eq () pt th locity compot i th actal body-fixd fam fo th did - locity cto x, y, i th itial fam Wh two locity compot x ad y a ythizd ito th d- id locity Q a dfid by x y, th two tm Q x co y i ad xi y co i Eq () ca b th xpd a Q co ad Q i pctily With a fw maiplatio, Eq () bcom x Q co y Qi y Q co x Qi IV CONOLLE DESIGN () I thi ctio, g foc F ad yaw momt a did accodig to th backtppig cotol mthod ad Lyapo thoy Bad o th o modl i Eq () i th body-fixd fam, a olia backtppig mthod i adoptd to dig th cotoll followig a did path h cotoll dig poc i otlid i th followig tp: Stp : Dfi th Lyapo fctio a V = x y ad tak th tim diati of V Sbtittig th fit two tm i th o modl of Eq () ito th tim diati qatio of V lt i th followig tim diati of V : V x co +y i () Q Q

5 Y Ch t al: obt Cotol of AUV Sbjct to Uctaiti 87 Now, lt itodc two ital cotol fctio ad with thi did al ad digd a kxx Q co ad kyy Q i, wh k x ad k y a two poiti cotat Sbtittig th two did al of ad ito Eq () yild V = x y kx ky Sic ad a ot th actal cotol fctio of th dwat hicl, th two o aiabl ad ca b xpd a = ad = Coqtly, th tim diati qatio of V bcom V k x k y x y (4) = x y Stp : Fo th coidatio of th tabilizatio of th o aiabl ad, th followig Lyapo fctio i d: V= V+ (5) h tim diati of V bcom V k x k y y x (6) x y h actal cotol foc F i th obtaid a follow: F X X m g m x k ˆ (7) wh k ad a two poiti cotat ad i th did g acclatio alog th logitdial dictio h followig adapti fzzy cotol igal ˆ ad it adapti cotol law a digd to limi- at th ctaity X X of i Eq () Lt tah b a clo appoximatio of X X of i Eq () Sbtittig Eq (7) ito th fit tm of Eq () yild ˆ wg ˆ tah x k m tah h, Eq (6) ca b witt a V k x k y y k wh m w g x y ˆ m ˆ tah m tah w m m g m m x k m w () () Stp : o tabiliz th o aiabl ad, th followig Lyapo fctio i mployd: V = V + m () ad it copodig tim diati i th xpd a ˆ ˆ ˆ tah ˆ (8) (9) wh = [,, ] coit of th locity o cto of th g, way, ad yaw lociti i th body fc fam; ( ) pt th adapti fzzy ba fctio; ˆ i th adapti cotol paamt; i a poiti cotat ad i a abitay mall poiti cotat V = k x k y y x y g k m w ˆ m ˆ tah m tah m ()

6 88 Joal of Mai Scic ad chology, Vol 5, No (7) o limiat th ctaity of Y Y o i Eq (), th adapti fzzy cotol igal ˆ ad it adapti cotol law a adoptd ad xpd a ˆ ˆ ˆ tah ad ˆ, i which ˆ i th adapti cotol paamt; ( ) i th adapti fzzy ba fctio; i a poiti cotat ad i a abitay mall poiti cotat Sbtittig th adapti fzzy cotol igal of ad w m m w ito th cod tm of Eq () with a fw maiplatio yild ˆ ˆ tah m mw YY m tah h ital cotol ca b xpd i th fom of k hfo, Eq () ca b -witt ig th abo xpio fo ad with V = k x k y k k k m m x y m w g ˆ m ˆ tah m m tah ˆ m ˆ tah wh m tah m m y YY m w m (4) Bca aiabl i ot a actal cotol paamt, it ca b placd with a o xpio of = h, btittig th adapti cotol law of ˆ i Eq (9) ito Eq (4) yild V = k x k y k k k m m m w g m m m x y ˆ m ˆ tah m tah ˆ m ˆ tah m tah (5) Stp 4: I thi tp, a cotoll fo o cto ad tabilizatio i itodcd ig th followig Lyapo fctio: 4 V = V + m (6) 4 By takig th tim diati of V 4 ad btittig th tm of ad th adapti cotol law of ˆ ito th tim diati of V, th tim diati of V 4 ca b xpd 4 a g V = k x k y k k m m x y k m m m w ˆ m ˆ tah m m tah m ˆ m ˆ tah m tah (7) h actal cotol law of th yaw toq of i obtaid a follow:

7 Y Ch t al: obt Cotol of AUV Sbjct to Uctaiti 89 4 g NN m m m k ˆ (8) o limiat th ctaity of N N o i Eq (), th adapti fzzy cotol igal ˆ i Eq (8) ad it adapti cotol law a dfid a ˆ ˆ ˆ tah ad ˆ, i which ˆ i th adapti cotol paamt; ( ) i th adapti fzzy ba fctio; i a poiti cotat ad i a abitay mall poiti cotat Sbtittig i Eq (8) ito th thid tm of Eq () with a fw maiplatio lt i w m mk g m ˆ ˆ tah tah h, Eq (7) bcom V = k x k y k k k m m x y m w g m w g ˆ k ˆ mm m tah m m tah ˆ m ˆ m tah ˆ m tah ˆ m tah m tah (9) wh m m w mm m m m kw () mm g Stp 5: o tabiliz th o aiabl of, th followig Lyapo fctio i lctd: 5 4 V = V + m () 5 h copodig tim diati of V 5 bcom by btittig th adapti cotol law of ˆ ito Eq (): V = k x k y k k k m m x y m w g m w g k m m ˆ ˆ tah m m m tah m ˆ m ˆ tah m tah ˆ m ˆ tah m tah m V CONOL PAAMEE SELECION AND SABILIY ANALYSIS () h latio btw lidig mod cotol gai ad modl paamt ctaiti i obtaid i thi ctio to a th o limiatig ability of th cotoll I th matim, th aymptotic tability of th oall ytm i alo dmotatd bad o Lyapo tability thoy Fit, th followig Lmma i itodcd o a bodd popty: Lmma h followig iqality hold fo ay > ad ay (Polycapo ad Ioao, 996): tah () wh i a poiti cotat that atifi, i, = 785 h two obt cotol tm of g ( ) i th cotol foc of F i Eq (7) ad g ( ) i th yaw cotol toq of i Eq (8) a d to limiat th two ctaiti of w ad w i Eq () ad () pctily h two poiti cotat of ad i th two obt cotol tm dictly dtmi th o limiatig ability fo th cotoll h two ctaiti i Eq () ad () ca b witt a g w m m m m (4) g w m m m m (5)

8 9 Joal of Mai Scic ad chology, Vol 5, No (7) wh mwm x k ad m m w m m m k It i kow that ab a b wh a ad b a two al mb, h, takig th abolt al o both id of th qatio fo Eq (4) ad (5) lt i th followig two iqaliti w m m m m (6) w m m m m (7) It ca b fom iqality (6) that wh m m, th ctaity caot b gaatd to b limiatd by th g cotol foc of F Similaly, a fom Eq (7), wh m m, th ctaity caot b gaatd to b limiatd by th yaw cotol toq of I oth wod, th ctaiti of w ad w may b gat tha th two obt poiti cotat of ad h, th two ctaity ma of m ad m mt b amd to atify m m ad m m, amly m m ad m m fo -5 < < Lt m m m ad m m m h followig iqaliti hold t: m m m (8) m m m (9) Sbtittig iqaliti (8) ad (9) ito iqaliti (6) ad (7) pctily yild w ad w h, th ctaiti ca b limiatd by th g cotol foc of F ad th yaw cotol toq of if th ma ad obt cotol paamt atify coditio of m m ad m m ; m m m ad Wh m ad m m m m, m m m ad m m m Wh m ad m al of both m m m ad m m m, th imm i qal to + h, th boday coditio fo ad bcom o + Fo a gi al of ad ctaity al of m, th followig coditio mt hold: th cotol paamt of ad d to wh atify th followig iqality o m ad m a poiti al ad to mt th boday coditio of o + wh m ad m a gati al h boday al fo gati al of m ad m a lag tha that fo poiti al of m ad m I oth wod, th cotol cot fo m ad m i mo tha that fo poiti al of m ad m ˆ i Sic i tah, th tah i i ˆ Lt ˆ, ˆ ad ˆ i h th followig iqaliti ca b obtaid bad o Lmma : i i i tah i Additioally, by ig th two iqaliti g m w ad m g w, Eq () ca b witt a: V k x k y k k k m m 5 x y k m m (4) akig th tim diati of kyy Qi ad th btittig th cod tm of Eq () ito th diati qatio yild i co Q Q k i x y Q Sbtittig Eq (4) ito i Eq (4) gt (4) Qi Q co my Y Y m m ky Qi x w m (4) Ad th btittig Eq (4) ito Eq (4) yild

9 Y Ch t al: obt Cotol of AUV Sbjct to Uctaiti 9 V k x k k m m y 5 y Q Q k x k y k k k m m k x y (4) wh th bcipt dot th imm al ad th al of ca b xpd m m Q m Y mky Y w Bad o Yog iqality, th fit th ctaity tm i Eq (4) a l tha th followig fctio fo poiti cotat i k x, (i =,, ): y Q k yq k m m ad y Lt xami th lat th ctaiti tm i Eq (4) ig a wot ca aalyi by amig all of thm a poiti I thi ca, Eq (4) bcom V y (44) 5 x x y wh k k ; y ky 5 ; k k ; x x 5 y ad k 5 Q k Q k m m 5k 5 5 k k m m Q y Q Ud aio difft coditio, th appopiat al of k x, k y, k, k,, ad ca b lctd to a poiti al fo x, y ad By takig x(t) = [x, y,,,, ] ad = mi { x, y,,,, }, iqality (44) bcom V 5 - V5+, which lt i t V5 t V5 +5 fo t t ig th Compaio Lmma (Khalil, 996), fial h, th followig coclio ca b daw: t,, fial x t x t t (45) Eq (45) idicat that th tat o mai i a bodd ttig a zo ad ca b dcd by icaig th gai i Eq (44) Sic kxx Q co, kyy Q i, ad k, th locity tackig o of, ad ca alo b kpt i a bodd ttig a zo wh th tat o of x t cog to a al with a mall ighbohood a zo, which wold th global tability of th cotol ytm VI NUMEAL SIMULAION ESULS AND DISCUSSIONS Nmical imlatio w codctd to alat th popod cotoll pfomac i modl mooth tait po, qick cogc, low cotol ffot, ad obt o ify th alidity of th popod cotoll, a dactatd dwat hicl wa tak a a xampl to alat it ability i th tajctoy tackig cotol Fo th hicl coidd i thi xampl, th followig cto a d = [,, ], = [x, y,] ad = [F,, ] I th followig imlatio, th am cotoll tct i applid fo th g foc of F ad th yaw toq of ig th am gai al i th cotoll qatio I that way, th cotoll dig wold b idpdt of th tackd tajctoy h ma (m) of th dactatd dwat hicl i 85 kg ad it otatioal itia aod z axi (I z ) i 5 kgm h addd ma i th dictio of ad ad th addd momt of itia i th dictio of a gi a X kg, Y 8 kg ad N kgm, pctily h g, way ad yaw lia dag cofficit ha al of X = 7 kg/, Y = kg/ ad N = 5 kgm / h g, way, ad yaw qadatic dag cofficit a at X = kg/m, Y = kg/m ad N = kgm Alo, th cotat of m, m, m ptig th addd ma ad combid itia a gi a m m X 5 kg, m = my 65 kg, ad m Iz N 8 kg m All al mtiod abo w d a th omial al i th cotoll dyamic modl I th followig imlatio ca, th modl paamt i th plat dyamic modl icldig phyical paamt of th dwat hicl ad hydodyamic cofficit a dtmid bad o th followig two amptio: () th actal al a ot kow; () th actal al ay withi % fom th omial al Fo xampl, th omial al of th fi paamt i th cotoll dyamic modl mˆ, Iˆ, ˆ, ˆ z X X a qal to {85 kg, 5 kgm, - kg, kg/m} ad thi copodig actal al i th plat dyamic modl ca b lctd withi th followig ag: m [665 kg, 5 kg], I z [495 kgm, 55 kgm ], X [- kg, -97 kg], X [9 kg/m, kg/m] Nmical imlatio w caid ot ig th foth-od g-ktta fomla with a cotat tim tp at h iitial coditio ad cotol paamt w gi a follow: k x = 5, k y = 65, k =, k = k = 5, = 4, = 8, = = 8 h adapti fzzy tm i th fom of Eq (8) w d to appoximat th th ctaiti of X X, Y Y, ad N N i

10 9 Joal of Mai Scic ad chology, Vol 5, No (7) 5 y (m) -5 Solid: did tajctoy Dottd: actal tajctoy x (m) Fig Cicla tackig cotol compaio btw th actal ad did tajctoi ig omial modl paamt Eq () h ipt cto of th th adapti fzzy tm i dfid a = [,, ] Accodig to th o cad by ctaiti, th i of dico of ach fzzy ipt cto i diidd ito fi fzzy labl ad thi copodig mmbhip fctio a dfid a A xp i i i ci i, wh c i ha th al of -, -5,, 5 ad ad i qal to 4 h fzzy bai fctio ( ) i Eq (8) wa lctd a ( ) = [ ( ),, M ( )], wh th l-th fzzy bai fc- M tio wa digd a l l i l i A i Ai i l i with l Ai i a th mmbhip fctio of th i-th ipt cto i th l-th fzzy l ad M a th mb of l Bad o th abo appoximatio, w ha ˆ i ˆ i ˆ i tah h cotat of i th paa- mt adapti law (9) wa lctd a = o alat th tajctoy tackig cotol pfomac of th popod cotoll, two difft po w obtaid d th followig two coditio: (a) h actal modl paamt a kow ad (b) h actal modl paamt ha al withi % of it copodig omial al h popod cotoll wa focd to tack a did cicla path of x (t) = i (t) m, y (t) = co (t) m I thi ca th cod diati of th path a qid ic th cicla tackig of th hicl i achid by a cotat agla locity of ad lia lociti of ad It i fod that Q = m/ ad Q fom Eq (6) ad - ad / fom Eq (7), which idicat that th hicl tal alog a cotat clockwi path Ca : h ca foc o th tajctoy tackig cotol fo a cicla path bad o th omial modl paamt I thi ca, th dactatd dwat hicl mo fom th iitial poitio = [-5 m, 5 m, ad] at a iitial locity of = [ m/, m/, ad/], which ha iitial poitio ad oitatio o at x = 5 m, y = - m ad = ad iitial locity o at = 9 m/, = m/ ad = - ad/ h total imlatio tim wa t a 64 Fo th ppo of btt obatio of th tait ad tady tat po, th tajctoy tackig o w diplayd fo th fit cod ad fo th ti datio of 64 cod h tajctoy of th dactatd dwat hicl i diplayd i th itial fam pla, a how i Fig h olid li i th did path whil th dahd li pt th actal path calclatd by th popod cotoll It ca b fom Fig that a lag diffc xit btw th did path ad th imlatio datm dig th tait tat po h g cotol foc of F ad th yaw cotol momt of a illtatd i Fig 4 It i obd fom Fig 4 that th g cotol foc of F ad yaw cotol momt of a y high at th iitial ad gadally cog to thi did al aft a hot of piod of tim Dig th tady tat po aft th cogc, both th g foc ad th yaw momt xhibit a faoabl tady pfomac withot ay igificat big ohoot

11 Y Ch t al: obt Cotol of AUV Sbjct to Uctaiti 9 F (N) τ (N m) (a) Sg foc F fo th fit cod (b) Oiw of g foc F fo th ti datio (c) Yaw momt τ fo th fit cod Fig 4 po of th g cotol foc ad th yaw cotol momt (d) Oiw of yaw momt τ fo th ti datio 5 (m/) (a) Lia locity tackig o fo th fit cod (b) Lia locity tackig o fo th ti datio 5 (m/) (c) Lia locity tackig o fo th fit cod (d) Lia locity tackig o fo th ti datio 5 (ad/) () Agla locity tackig o fo th fit cod (f) Agla locity tackig o fo th fit cod Fig 5 Vlocity tackig o i th body-fixd fam

12 94 Joal of Mai Scic ad chology, Vol 5, No (7) 5 x (m/) (a) Poitio o x fo th fit cod (b) Poitio o x fo th ti datio 6 y (m) (c) Poitio o y fo th fit cod 4 5 (d) Poitio o y fo th ti datio ψ (dg) () Oitatio tackig o ψ fo th fit cod (f) Oitatio tackig o ψ fo th ti datio Fig 6 Poitio ad oitatio tackig o i th itial fam h locity tackig o i th body-fixd fam a how i Fig 5, i which th lft fig diplay th o fo th fit of th imlatio tim to ob th tait po ad th ight fig diplay th o fo th ti datio of 64 to poid a oall iw of th o It ca b fom Fig 5 that th locity tackig o cog to a al a zo with a ocillatio th od of - m/ o ad/ withot ay lag ohoot ad th lowly cog to a tady po towad zo aft Oc th locity tackig o ach th tady tat, th aiatio i o i y limitd h imm abolt locity o of,, calclatd fom th data how i Fig 5 a 5 (m/), (m/), 6 (ad/), pctily ad thi copodig tadad diatio a (m/), (m/) ad (ad/) h poitio ad oitatio tackig o a dpictd i Fig 6, i which th lft fig how data fo th fit imlatio tim ad th ight fig how th data fo th ti imlatio datio of 64 It i obd fom th lft fig that aft a hot piod of tim, th tackig o cog to a zo with a mall ocillatio i th od of - m o dg h poitio tackig o of x ad y calclatd fom th data i Fig 6 a withi th ag fom -8 m to 46 m ad th oitatio tackig o ai withi th ag fom

13 Y Ch t al: obt Cotol of AUV Sbjct to Uctaiti 95 5 y (m) -5 Solid: did tajctoy Dottd: actal tajctoy x (m) Fig 7 Cicla tajctoy compaio btw th did path ad actal path ig th modl paamt withi ±% of th omial al F (N) τ (N m) (a) Sg foc F fo th fit cod (b) Sg foc F fo th ti datio (c) Yaw toq τ fo th fit cod 4 5 (d) Yaw toq τ fo th ti datio Fig 8 h g cotol foc ad yaw cotol toq ig th modl paamt withi ±% of th omial al 6-7 ad to 6 ad h lt dmotat that th popod cotoll pfom xtmly wll i tajctoy tackig cotol ad qick cogc Ca : I thi ca, it i amd that th actal modl paamt a ot kow bt thy a withi a imal ctaity of % of th omial al fo th pio tajctoy tackig cotol aod a cicla path h iitial coditio a th am a tho i Ca h tajctoy of th dactatd dwat hicl i th itial fam i diplayd i Fig 7 It ca b obd fom Fig 7 that imila o xit btw th did path ad th imlatio datm Wh compad to th lt fom Ca, th popod cotoll i thi ca ca alo ffctily limiat ctaiti althogh it ha th kow modl paamt Fig 8 dmotat th g cotol foc of F ad th yaw cotol toq of ltd fom th popod cotoll It i otwothy that th timatd cotol foc ad toq x- hibit latily mall ocillatio thogh th kow modl paamt a amd h locity tackig o i th body-fixd fam a diplayd i Fig 9, i which th lft fig diplay th lt fo th fit of th imlatio tim ad th ight fig illtat th lt fo th ti datio of 64 h locity tackig o qickly cog to a a zo al with a y mall ocillatio i th od of - m/ o ad/ ad ach to th tady tat aft a hot piod of tim Oc th locity tackig o ach to th tady tat, th ocillatio ag i ly bodd with th imm abolt locity o of,, at (m/), 5458 (m/), 74 (ad/), pctily ad th copodig tadad diatio at (m/), 95 (m/) ad 469 (ad/) Wh compad to th lt fom Ca, th kow dyamic modl paamt i thi ca ltd i th imila locity tackig o to tho fom Ca ho lt cofim that th popod cotoll i ffcti i ctaity limiatio h poitio ad oitatio tackig o a dpictd i

14 96 Joal of Mai Scic ad chology, Vol 5, No (7) 5 (m/) (a) Lia locity o fo th fit cod (b) Lia locity o fo th ti datio 5 (m/) (c) Lia locity o fo th fit cod (d) Lia locity o fo th ti datio 5 (ad/) () Agla locity o fo th fit cod (f) Agla locity o fo th ti datio Fig 9 Vlocity tackig o i th body-fixd fam ig th modl paamt withi ±% of th omial al Fig hy both qickly cog to a a zo al ad tabiliz at thi al with a ocillatio i th od of - m o dg h poitio tackig o of x ad y ay withi th ag fom -55 m to 4 m th oitatio tackig o ai fom -45 ad to 6 ad h lt how that althogh om kow modl paamt a amd i th cod ca, th popod cotoll pfom xtmly wll ad alo how it capability of cogig qickly VII CONCLUSIONS I thi pap, th compoit obt cotol chm copld with th lidig mod cotoll ad th adapti fzzy cotol algoithm wa itodcd to tackl th hoizotal tajctoy

15 Y Ch t al: obt Cotol of AUV Sbjct to Uctaiti 97 5 x (m/) (a) Poitio tackig o x fo th fit cod (b) Poitio o x fo th ti datio 6 5 y (m/) (c) Poitio o y fo th fit cod (d) Poitio o y fo th ti datio ψ (dg) () Oitatio tackig o ψ fo th fit cod (f) Oitatio tackig o ψ fo th ti datio Fig Poitio tackig o i th itial fam ig th cotol paamt withi ±% of th omial al tackig cotol poblm fo dactatd dwat hicl with modl paamt ptbatio ad iomtal ditbac A adapti fzzy cotol algoithm wa mployd to compat fo modl paamt ptbatio whil a lidig mod cotoll wa adoptd to limiat th ffct of iomtal ditbac ad appoximatio o h aymptotic tability of th oall ytm wa dmotatd bad o Lyapo tability thoy h latio btw lidig mod cotol gai ad modl paamt ctaiti wa did to dtmi th o limiatig ability of th cotoll h hoizotal dyamic modl ad tackig o qatio fo th dactatd dwat hicl w tablihd fo th tajctoy tackig cotol of th hicl h popod cotol chm wa alo imlatd fo a cicla

16 98 Joal of Mai Scic ad chology, Vol 5, No (7) path ig th omial ad o-omial paamt ad it fficicy i limiatig th ctaiti wa dmotatd ad alidatd ig mical imlatio of a -DOF dactatd dwat hicl Nmical imlatio lt dmotatd that th popod cotoll diplayd xcllt pfomac i it mooth tait po, qick cogc, low cotol ffot, ad obt h popod cotoll ca b d to aaly th cotol pfomac of th cotoll d aio opatioal coditio ACKNOWLEDGEMENS Gatfl ackowldgmt i gi to th fiacial ppot fom th Natioal Natal Scic Fodatio of Chia with Gat No ad Scic ad chology Majo Pojct of Shadog Poic with Gat No 5JMH8 hi wok wa alo patially ppotd by Stat Ky Laboatoy of obotic ad Sytm (HI) with Gat No SKLS-5-MS-6, ad Chia Pot-doctoal Scic Fodatio with Gat No 476 ad M58, ad ach Awad Fd fo Excllt Yog ad Middl-agd Scitit of Shadog Poic with Gat No BSZZ8 EFEENCES Atp, S, Z Q Log, D amthgala, A L Fot ad J Dffy (5) Nmical itigatio of th hydodyamic itactio btw two dwat bodi i lati motio Applid Oca ach 5, 4-4 Bocktt, W (98) Aymptotic tability ad fdback tabilizatio Difftial Gomtic Cotol hoy 8-9 Ch Y, M Zhag, X Y Zhao ad J Gao(6) Adapti fzzy i tajctoy tackig cotol of dactatd dwat hicl with ctaiti Oca Egiig, - Gamh, B ad S Nkoo (5) Nolia boptimal cotol of flly copld o-affi ix-dof atoomo dwat hicl ig th tatdpdt iccati qatio Oca Egiig 96, Ghommam, J ad M Saad () Backtppig-bad coopati ad adapti tackig cotol dig fo a gop of dactatd AUV i hoizotal pla Itatioal Joal of Cotol 87, 76-9 Jia, H M, W L Sog ad Z L Ch () Nolia backtppig cotol of dactatd AUV i diig pla Adac i ifomatio Scic ad Sic Scic 4, 4- Khalid, I, M Ahad ad I Syafizal (4) A hybid-di dwat glid modl, hydodyamic timatio, ad a aalyi of th motio cotol Oca Egiig 8, -9 Khalil, H (996) Nolia Sytm Ptic-Hall, Eglwood Cliff Khodayai, M ad S Balochia (5) Modlig ad cotol of atoomo dwat hicl (AUV) i hadig ad dpth attitd ia lf-adapti fzzy PID cotoll Joal of Mai Scic ad chology, Koh, H, M W S La, G St ad E Low (6) A cotol modl chm fo a dactatd dwat obotic hicl Jomal of Itlligt ad obot Sytm 46, 4-58 Li, Y, C Wi, Q W, P Y Ch, Y Q Jiag ad Y M Li (5) Stdy of dimio tajctoy tackig of dactatd atoomo dwat hicl Oca Egiig 5, 7-74 Pak, B S (4) Nal twok-bad tackig cotol of dactatd atoomo dwat hicl with modl ctaiti Joal of Dyamic Sytm Mamt & Cotol 7, -7 Polycapo, M M ad P A Ioao (996) A obt adapti olia cotol dig Atomatica, 4-47 Qi, X (5) Spatial tagt path followig cotol bad o Nbam gai mthod fo dactatd dwat hicl Oca Egiig 4, aimodi, F M ad M Mllo () Fzzy/kalma hiachical hoizotal motio cotol of dactatd OV Itatioal Joal of Adacd obotic Sytm 7, 9-54 ho, I ad I Fo () Mai Cotol Sytm: Gidac, Naigatio ad Cotol of hip, ig ad Udwat Vhicl odhim, Noway X, J, M Wag ad L Qiao (5) Dyamical lidig mod cotol fo th tajctoy tackig of dactatd mad dwat hicl Oca Egiig 5, 54-6 Ya, Z P, H M Y, W Zhag, B Y Li ad J J Zho (5) Globally fiittim tabl tackig cotol of dactatd UUV Oca Egiig 7, -46

Robust Control Toolbox for Time Delay Systems with Time Delay in Numerator and Denominator

Robust Control Toolbox for Time Delay Systems with Time Delay in Numerator and Denominator Rct Rach i Cicit a Sytm Robt Cotol Toolbox fo Tim Dlay Sytm with Tim Dlay i mato a Domiato MRE DLP Faclty of ppli Ifomatic Toma Bata Uivity i Zli a Stami 5, 76 5 Zli CZECH REPUBLIC lapa@fai.tb.cz http://lapa.wz.cz

More information

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles ENGG 03 Tutoial Systms ad Cotol 9 Apil Laig Obctivs Z tasfom Complx pols Fdbac cotol systms Ac: MIT OCW 60, 6003 Diffc Equatios Cosid th systm pstd by th followig diffc quatio y[ ] x[ ] (5y[ ] 3y[ ]) wh

More information

Galaxy Photometry. Recalling the relationship between flux and luminosity, Flux = brightness becomes

Galaxy Photometry. Recalling the relationship between flux and luminosity, Flux = brightness becomes Galaxy Photomty Fo galaxis, w masu a sufac flux, that is, th couts i ach pixl. Though calibatio, this is covtd to flux dsity i Jaskys ( Jy -6 W/m/Hz). Fo a galaxy at som distac, d, a pixl of sid D subtds

More information

and integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform

and integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform NANO 70-Nots Chapt -Diactd bams Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio. Idal cystals a iiit this, so th will b som iiitis lii about. Usually, th iiit quatity oly ists

More information

Instrumentation for Characterization of Nanomaterials (v11) 11. Crystal Potential

Instrumentation for Characterization of Nanomaterials (v11) 11. Crystal Potential Istumtatio o Chaactizatio o Naomatials (v). Cystal Pottial Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio om cystal. Idal cystals a iiit this, so th will b som iiitis lii

More information

ELEC9721: Digital Signal Processing Theory and Applications

ELEC9721: Digital Signal Processing Theory and Applications ELEC97: Digital Sigal Pocssig Thoy ad Applicatios Tutoial ad solutios Not: som of th solutios may hav som typos. Q a Show that oth digital filts giv low hav th sam magitud spos: i [] [ ] m m i i i x c

More information

The tight-binding method

The tight-binding method Th tight-idig thod Wa ottial aoach: tat lcto a a ga of aly f coductio lcto. ow aout iulato? ow aout d-lcto? d Tight-idig thod: gad a olid a a collctio of wa itactig utal ato. Ovla of atoic wav fuctio i

More information

Direct Torque Control of Doubly Fed Induction Machine

Direct Torque Control of Doubly Fed Induction Machine Itatioal Joual o Elctical Egiig ad Ifomatic - Volum 7, Numb 3, Sptmb 5 Faid Boumaaf, M.L. Bdaa, Rachid Abdmd, ad Sbti Blkacm LEB- Rach Laboatoy, Dpatmt of Elctical Egiig, Uivity of Bata Algia faidltb@yahoo.f

More information

CDS 101: Lecture 9.1 PID and Root Locus

CDS 101: Lecture 9.1 PID and Root Locus CS : Lct 9. P ad Root Loc Richad M. Ma 5 Novmb Goal: fi P cotoll ad dcib how to thm todc th oot loc tchiq ad dcib how to it to choo loop gai Show om of th limitatio of fdback d to RHP pol ad zo Radig:

More information

Today s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom

Today s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom Today s topic Sttig up th Hydog Ato pobl Hydog ato pobl & Agula Motu Objctiv: to solv Schödig quatio. st Stp: to dfi th pottial fuctio Schatic of Hydog Ato Coulob s aw - Z 4ε 4ε fo H ato Nuclus Z What

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Buoyancy effect control in multi legged robot locomotion on seabed using integrated impedance-fuzzy logic approach

Buoyancy effect control in multi legged robot locomotion on seabed using integrated impedance-fuzzy logic approach Idia Joual of Go-Mai Scic Vol. 44(), Dcm 5, pp. 937-945 Buoyacy ffct cotol i multi lggd oot locomotio o ad uig itgatd impdac-fuzzy logic appoach Md. Moktadi Alam, Addi Iawa* & Ta Y Yi ootic ad Umad Sytm

More information

CHAPTER 5 CIRCULAR MOTION

CHAPTER 5 CIRCULAR MOTION CHAPTER 5 CIRCULAR MOTION and GRAVITATION 5.1 CENTRIPETAL FORCE It is known that if a paticl mos with constant spd in a cicula path of adius, it acquis a cntiptal acclation du to th chang in th diction

More information

E F. and H v. or A r and F r are dual of each other.

E F. and H v. or A r and F r are dual of each other. A Duality Thom: Consid th following quations as an xampl = A = F μ ε H A E A = jωa j ωμε A + β A = μ J μ A x y, z = J, y, z 4π E F ( A = jω F j ( F j β H F ωμε F + β F = ε M jβ ε F x, y, z = M, y, z 4π

More information

An Unknown Physical Constant Missing from Physics

An Unknown Physical Constant Missing from Physics Applid Phyic Rach; Vol 7, No 5; 5 ISSN 96-9639 -ISSN 96-967 Publihd by Caadia Ct of Scic ad ducatio A Ukow Phyical Cotat Miig fom Phyic Chudaiji Buddhit Tmpl, Iaki, Japa Kohu Suto Copodc: Kohu Suto, Chudaiji

More information

COMMUNITY LEGAL CLINIC OF YORK REGION 21 DUNLOP ST., SUITE 200 RICHMOND HILL, ON., L4C 2M6

COMMUNITY LEGAL CLINIC OF YORK REGION 21 DUNLOP ST., SUITE 200 RICHMOND HILL, ON., L4C 2M6 B T T D I G 1 0 D o u g l a s o a d U x b r i d g e, O. L 9 P 1 9 HHAngus & Associates Limited Consulting ngineers 1127 Leslie treet, Toronto, O, M3C 2J6 Canada GAL OT THI DAWIG I TH POPTY OF BTT DIG AOCIAT

More information

Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor

Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor Cotol Syt ctu 8 Root ocu Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Cotoll Plat R E C U Y - H C D So Y C C R C H Wtg th loo ga a w a ttd tackg th clod-loo ol a ga va Clacal Cotol Pof. Eugo Schut hgh

More information

Module 6: Two Dimensional Problems in Polar Coordinate System

Module 6: Two Dimensional Problems in Polar Coordinate System Modl6/Lon Modl 6: Two Dimnional Poblm in Pola Coodinat Stm 6 INTRODUCTION I n an laticit poblm th pop choic o th coodinat tm i tml impotant c thi choic tablih th complit o th mathmatical pion mplod to

More information

COMPSCI 230 Discrete Math Trees March 21, / 22

COMPSCI 230 Discrete Math Trees March 21, / 22 COMPSCI 230 Dict Math Mach 21, 2017 COMPSCI 230 Dict Math Mach 21, 2017 1 / 22 Ovviw 1 A Simpl Splling Chck Nomnclatu 2 aval Od Dpth-it aval Od Badth-it aval Od COMPSCI 230 Dict Math Mach 21, 2017 2 /

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid

More information

SUNWAY UNIVERSITY BUSINESS SCHOOL SAMPLE FINAL EXAMINATION FOR FIN 3024 INVESTMENT MANAGEMENT

SUNWAY UNIVERSITY BUSINESS SCHOOL SAMPLE FINAL EXAMINATION FOR FIN 3024 INVESTMENT MANAGEMENT UNWA UNIVRIT BUIN HOOL AMPL FINAL AMINATION FOR FIN 34 INVTMNT MANAGMNT TION A A ALL qto th cto. Qto tha kg facg fo a ca. Th local bak ha ag to gv hm a loa fo 9% of th cot of th ca h ll pay th t cah a

More information

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t Cla ot fo EE6318/Phy 6383 Spg 001 Th doumt fo tutoal u oly ad may ot b opd o dtbutd outd of EE6318/Phy 6383 tu 7 Dffuo Ou flud quato that w dvlopd bfo a: f ( )+ v v m + v v M m v f P+ q E+ v B 13 1 4 34

More information

Solutions to Supplementary Problems

Solutions to Supplementary Problems Solution to Supplmntay Poblm Chapt Solution. Fomula (.4): g d G + g : E ping th void atio: G d 2.7 9.8 0.56 (56%) 7 mg Fomula (.6): S Fomula (.40): g d E ping at contnt: S m G 0.56 0.5 0. (%) 2.7 + m E

More information

ON THE RELIABILITY OF DATA OBTAINED BY KRIGING

ON THE RELIABILITY OF DATA OBTAINED BY KRIGING Buhad Schaffi ON HE RELIABILIY OF AA OBAINE BY RIGING Buhad SHAFFRIN patmt of ivil ad Eviomtal Egiig ad Godtic Scic h Ohio Stat Uivit olumbu OH 43 USA Schaffi@oudu Woig Goup I/4 EY WORS Outli ttig liabilit

More information

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

( ) ( ) ( ) 2011 HSC Mathematics Solutions ( 6) ( ) ( ) ( ) π π. αβ = = 2. α β αβ. Question 1. (iii) 1 1 β + (a) (4 sig. fig.

( ) ( ) ( ) 2011 HSC Mathematics Solutions ( 6) ( ) ( ) ( ) π π. αβ = = 2. α β αβ. Question 1. (iii) 1 1 β + (a) (4 sig. fig. HS Mathmatics Solutios Qustio.778.78 ( sig. fig.) (b) (c) ( )( + ) + + + + d d (d) l ( ) () 8 6 (f) + + + + ( ) ( ) (iii) β + + α α β αβ 6 (b) si π si π π π +,π π π, (c) y + dy + d 8+ At : y + (,) dy 8(

More information

ELG3150 Assignment 3

ELG3150 Assignment 3 ELG350 Aigmt 3 Aigmt 3: E5.7; P5.6; P5.6; P5.9; AP5.; DP5.4 E5.7 A cotrol ytm for poitioig th had of a floppy dik driv ha th clodloop trafr fuctio 0.33( + 0.8) T ( ) ( + 0.6)( + 4 + 5) Plot th pol ad zro

More information

Ch. 6 Free Electron Fermi Gas

Ch. 6 Free Electron Fermi Gas Ch. 6 lcto i Gas Coductio lctos i a tal ov fl without scattig b io cos so it ca b cosidd as if walitactig o f paticls followig idiac statistics. hfo th coductio lctos a fqutl calld as f lcto i gas. Coductio

More information

Sliding Mode Observer Based Sensorless Control of BLDC Motor under DTC Scheme

Sliding Mode Observer Based Sensorless Control of BLDC Motor under DTC Scheme ISSN (Onlin): 2278 8875 Intnational Jounal of Adancd Rach in Elctical, Elctonic and Intumntation Engining (An ISO 3297: 2007 Ctifid Oganization) Vol. 2, Iu 11, Nomb 2013 Sliding Mod Ob Bad Snol Contol

More information

3D Viewing. Vanishing Points. Two ways Intersection of transformed lines Transformation of points at infinity. Y VP z. VP x

3D Viewing. Vanishing Points. Two ways Intersection of transformed lines Transformation of points at infinity. Y VP z. VP x Vaishig Poits Two ways Itsctio of tasfomd lis Tasfomatio of oits at ifiity Y Y VP z X VP x X Z Pla Gomtic Pojctios Paalll Pscti Othogahic Axoomtic Obliq Sigl Poit Timtic Dimtic Isomtic Caali Cabit Two

More information

10. Joint Moments and Joint Characteristic Functions

10. Joint Moments and Joint Characteristic Functions 0 Joit Momts ad Joit Charactristic Fctios Followig sctio 6 i this sctio w shall itrodc varios paramtrs to compactly rprst th iformatio cotaid i th joit pdf of two rvs Giv two rvs ad ad a fctio g x y dfi

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Chapter 11 Solutions ( ) 1. The wavelength of the peak is. 2. The temperature is found with. 3. The power is. 4. a) The power is

Chapter 11 Solutions ( ) 1. The wavelength of the peak is. 2. The temperature is found with. 3. The power is. 4. a) The power is Chapt Solutios. Th wavlgth of th pak is pic 3.898 K T 3.898 K 373K 885 This cospods to ifad adiatio.. Th tpatu is foud with 3.898 K pic T 3 9.898 K 50 T T 5773K 3. Th pow is 4 4 ( 0 ) P σ A T T ( ) ( )

More information

Estimation of Lomax Parameters Based on Generalized Probability Weighted Moment

Estimation of Lomax Parameters Based on Generalized Probability Weighted Moment JKAU: Sci., Vol. No., pp: 7-84 ( A.D./43 A.H.) Doi:.497 / Sci. -.3 Etimatio of Lomax Paamete Baed o Geealized Pobability Weighted omet Abdllah. Abd-Elfattah, ad Abdllah H. Alhabey Depatmet of Statitic,

More information

The Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus)

The Reign of Grace and Life. Romans 5:12-21 (5:12-14, 17 focus) Th Rig of Gc d Lif Rom 5:12-21 (5:12-14, 17 focu) Th Ifluc of O h d ud Adolph H J o ph Smith B i t l m t Fid Idi Gdhi Ci Lu Gu ich N itz y l M d i M ch Nlo h Vig T L M uhmmd B m i o t T Ju Chit w I N h

More information

Problem Session (3) for Chapter 4 Signal Modeling

Problem Session (3) for Chapter 4 Signal Modeling Pobm Sssio fo Cht Sig Modig Soutios to Pobms....5. d... Fid th Pdé oimtio of scod-od to sig tht is giv by [... ] T i.. d so o. I oth wods usig oimtio of th fom b b b H fid th cofficits b b b d. Soutio

More information

1. The 0.1 kg particle has a speed v = 10 m/s as it passes the 30 position shown. The coefficient of kinetic friction between the particle and the

1. The 0.1 kg particle has a speed v = 10 m/s as it passes the 30 position shown. The coefficient of kinetic friction between the particle and the 1. The 0.1 kg pticle h peed v = 10 m/ it pe the 30 poitio how. The coefficiet of kietic fictio betwee the pticle d the veticl ple tck i m k = 0.0. Detemie the mgitude of the totl foce exeted by the tck

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

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist

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

Consider serial transmission. In Proakis notation, we receive

Consider serial transmission. In Proakis notation, we receive 5..3 Dciio-Dirctd Pha Trackig [P 6..4] 5.-1 Trackr commoly work o radom data igal (plu oi), o th kow-igal modl do ot apply. W till kow much about th tructur o th igal, though, ad w ca xploit it. Coidr

More information

(( ) ( ) ( ) ( ) ( 1 2 ( ) ( ) ( ) ( ) Two Stage Cluster Sampling and Random Effects Ed Stanek

(( ) ( ) ( ) ( ) ( 1 2 ( ) ( ) ( ) ( ) Two Stage Cluster Sampling and Random Effects Ed Stanek Two ag ampling and andom ffct 8- Two Stag Clu Sampling and Random Effct Ed Stank FTE POPULATO Fam Labl Expctd Rpon Rpon otation and tminology Expctd Rpon: y = and fo ach ; t = Rpon: k = y + Wk k = indx

More information

Robustness Evaluation of SMO in Sensorless Control of BLDC Motor under DTC Scheme

Robustness Evaluation of SMO in Sensorless Control of BLDC Motor under DTC Scheme Robutn Ealuation of SMO in Snol Contol of BDC Moto und DTC Schm Giija P.., Studnt Mmb, IEEE, and Pinc A., Mmb, IEEE Abtact-- Dict Toqu Contol (DTC i a mthod to contol th toqu in aiabl fquncy di. Thi pap

More information

PLS-CADD DRAWING N IC TR EC EL L RA IVE ) R U AT H R ER 0. IDT FO P 9-1 W T OO -1 0 D EN C 0 E M ER C 3 FIN SE W SE DE EA PO /4 O 1 AY D E ) (N W AN N

PLS-CADD DRAWING N IC TR EC EL L RA IVE ) R U AT H R ER 0. IDT FO P 9-1 W T OO -1 0 D EN C 0 E M ER C 3 FIN SE W SE DE EA PO /4 O 1 AY D E ) (N W AN N A IV ) H 0. IT FO P 9-1 W O -1 0 C 0 M C FI S W S A PO /4 O 1 AY ) ( W A 7 F 4 H T A GH 1 27 IGO OU (B. G TI IS 1/4 X V -S TO G S /2 Y O O 1 A A T H W T 2 09 UT IV O M C S S TH T ) A PATO C A AY S S T

More information

CIVL 7/8111 Time-Dependent Problems - 2-D Diffusion and Wave Equations 1/9

CIVL 7/8111 Time-Dependent Problems - 2-D Diffusion and Wave Equations 1/9 CIVL 7/8111 im-dpdt Problm - -D Diffio ad Wav Eqatio 1/9 h govrig balac qatio that dcrib diffio proc i itatio ivolvig two idpdt variabl appar typically a xyt,, fxyt,, 0 t i g, t o 1 t q t x, y,0 c x, y

More information

Homework 1: Solutions

Homework 1: Solutions Howo : Solutos No-a Fals supposto tst but passs scal tst lthouh -f th ta as slowss [S /V] vs t th appaac of laty alty th path alo whch slowss s to b tat to obta tavl ts ps o th ol paat S o V as a cosquc

More information

IV Design of Discrete Time Control System by Conventional Methods

IV Design of Discrete Time Control System by Conventional Methods IV Dig of Dicrt im Cotrol Sytm by Covtioal Mthod opic to b covrd. Itroductio. Mappig bt th pla ad pla 3. Stability aalyi 4. rait ad tady tat rpo 5. Dig bad o root locu mthod 6. Dig bad o frqucy rpo mthod

More information

The Asymptotic Form of Eigenvalues for a Class of Sturm-Liouville Problem with One Simple Turning Point. A. Jodayree Akbarfam * and H.

The Asymptotic Form of Eigenvalues for a Class of Sturm-Liouville Problem with One Simple Turning Point. A. Jodayree Akbarfam * and H. Joral of Scic Ilaic Rpblic of Ira 5(: -9 ( Uirity of Thra ISSN 6- Th Ayptotic For of Eigal for a Cla of Str-Lioill Probl with O Sipl Trig Poit A. Jodayr Abarfa * ad H. Khiri Faclty of Mathatical Scic Tabriz

More information

ANOVA- Analyisis of Variance

ANOVA- Analyisis of Variance ANOVA- Aalii of Variac CS 700 Comparig altrativ Comparig two altrativ u cofidc itrval Comparig mor tha two altrativ ANOVA Aali of Variac Comparig Mor Tha Two Altrativ Naïv approach Compar cofidc itrval

More information

GRAVITATION. (d) If a spring balance having frequency f is taken on moon (having g = g / 6) it will have a frequency of (a) 6f (b) f / 6

GRAVITATION. (d) If a spring balance having frequency f is taken on moon (having g = g / 6) it will have a frequency of (a) 6f (b) f / 6 GVITTION 1. Two satllits and o ound a plant P in cicula obits havin adii 4 and spctivly. If th spd of th satllit is V, th spd of th satllit will b 1 V 6 V 4V V. Th scap vlocity on th sufac of th ath is

More information

Lecture 24: Observability and Constructibility

Lecture 24: Observability and Constructibility ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio

More information

Superfluid Liquid Helium

Superfluid Liquid Helium Surfluid Liquid Hlium:Bo liquid ad urfluidity Ladau thory: two fluid modl Bo-iti Codatio ad urfluid ODLRO, otaou ymmtry brakig, macrocoic wafuctio Gro-Pitakii GP quatio Fyma ictur Rfrc: Thory of quatum

More information

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Load Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below.

Load Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below. oa Euatons Thoughout all of chapt 4, ou focus s on th machn tslf, thfo w wll only pfom a y smpl tatmnt of th ntwok n o to s a complt mol. W o that h, but alz that w wll tun to ths ssu n Chapt 9. So lt

More information

Classical Theory of Fourier Series : Demystified and Generalised VIVEK V. RANE. The Institute of Science, 15, Madam Cama Road, Mumbai

Classical Theory of Fourier Series : Demystified and Generalised VIVEK V. RANE. The Institute of Science, 15, Madam Cama Road, Mumbai Clssil Thoy o Foi Sis : Dmystii Glis VIVEK V RANE Th Istitt o Si 5 Mm Cm Ro Mmbi-4 3 -mil ss : v_v_@yhoooi Abstt : Fo Rim itgbl tio o itvl o poit thi w i Foi Sis t th poit o th itvl big ot how wh th tio

More information

Physics 111. Lecture 38 (Walker: ) Phase Change Latent Heat. May 6, The Three Basic Phases of Matter. Solid Liquid Gas

Physics 111. Lecture 38 (Walker: ) Phase Change Latent Heat. May 6, The Three Basic Phases of Matter. Solid Liquid Gas Physics 111 Lctu 38 (Walk: 17.4-5) Phas Chang May 6, 2009 Lctu 38 1/26 Th Th Basic Phass of Matt Solid Liquid Gas Squnc of incasing molcul motion (and ngy) Lctu 38 2/26 If a liquid is put into a sald contain

More information

Last time: Completed solution to the optimum linear filter in real-time operation

Last time: Completed solution to the optimum linear filter in real-time operation 6.3 tochatic Etimatio ad Cotrol, Fall 4 ecture at time: Completed olutio to the oimum liear filter i real-time operatio emi-free cofiguratio: t D( p) F( p) i( p) dte dp e π F( ) F( ) ( ) F( p) ( p) 4444443

More information

STRIPLINES. A stripline is a planar type transmission line which is well suited for microwave integrated circuitry and photolithographic fabrication.

STRIPLINES. A stripline is a planar type transmission line which is well suited for microwave integrated circuitry and photolithographic fabrication. STIPLINES A tiplin i a plana typ tanmiion lin hih i ll uitd fo mioav intgatd iuity and photolithogaphi faiation. It i uually ontutd y thing th nt onduto of idth, on a utat of thikn and thn oving ith anoth

More information

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120 Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,

More information

Ground Rules. PC1221 Fundamentals of Physics I. Uniform Circular Motion, cont. Uniform Circular Motion (on Horizon Plane) Lectures 11 and 12

Ground Rules. PC1221 Fundamentals of Physics I. Uniform Circular Motion, cont. Uniform Circular Motion (on Horizon Plane) Lectures 11 and 12 PC11 Fudametals of Physics I Lectues 11 ad 1 Cicula Motio ad Othe Applicatios of Newto s Laws D Tay Seg Chua 1 Goud Rules Switch off you hadphoe ad page Switch off you laptop compute ad keep it No talkig

More information

ESCI 341 Atmospheric Thermodynamics Lesson 16 Pseudoadiabatic Processes Dr. DeCaria

ESCI 341 Atmospheric Thermodynamics Lesson 16 Pseudoadiabatic Processes Dr. DeCaria ESCI 34 Atmohi hmoynami on 6 Puoaiabati Po D DCaia fn: Man, A an FE obitaill, 97: A omaion of th uialnt otntial tmatu an th tati ngy, J Atmo Si, 7, 37-39 Btt, AK, 974: Futh ommnt on A omaion of th uialnt

More information

Lecture 2: Frequency domain analysis, Phasors. Announcements

Lecture 2: Frequency domain analysis, Phasors. Announcements EECS 5 SPRING 24, ctu ctu 2: Fquncy domain analyi, Phao EECS 5 Fall 24, ctu 2 Announcmnt Th cou wb it i http://int.c.bkly.du/~5 Today dicuion ction will mt Th Wdnday dicuion ction will mo to Tuday, 5:-6:,

More information

Order Statistics from Exponentiated Gamma. Distribution and Associated Inference

Order Statistics from Exponentiated Gamma. Distribution and Associated Inference It J otm Mth Scc Vo 4 9 o 7-9 Od Stttc fom Eottd Gmm Dtto d Aoctd Ifc A I Shw * d R A Bo G og of Edcto PO Bo 369 Jddh 438 Sd A G og of Edcto Dtmt of mthmtc PO Bo 469 Jddh 49 Sd A Atct Od tttc fom ottd

More information

Stanford University Medical Center

Stanford University Medical Center tanford University Medical enter VTO TTIO 00 Pasteur rive, tanford, 940 G I I G O T POF T U IO 6 exp /09 I T U I F O 6 IGIGWOO O MTO, IFOI 9864 GI I Y @ MY T TI OT OUTWIGHT IMT IM TW GUII H XITIG VTO XPIO

More information

Impulse and Momentum

Impulse and Momentum Impule and Momentum 1. A ca poee 20,000 unit of momentum. What would be the ca' new momentum if... A. it elocity wee doubled. B. it elocity wee tipled. C. it ma wee doubled (by adding moe paenge and a

More information

Path (space curve) Osculating plane

Path (space curve) Osculating plane Fo th cuilin motion of pticl in spc th fomuls did fo pln cuilin motion still lid. But th my b n infinit numb of nomls fo tngnt dwn to spc cu. Whn th t nd t ' unit ctos mod to sm oigin by kping thi ointtions

More information

S U E K E AY S S H A R O N T IM B E R W IN D M A R T Z -PA U L L IN. Carlisle Franklin Springboro. Clearcreek TWP. Middletown. Turtlecreek TWP.

S U E K E AY S S H A R O N T IM B E R W IN D M A R T Z -PA U L L IN. Carlisle Franklin Springboro. Clearcreek TWP. Middletown. Turtlecreek TWP. F R A N K L IN M A D IS O N S U E R O B E R T LE IC H T Y A LY C E C H A M B E R L A IN T W IN C R E E K M A R T Z -PA U L L IN C O R A O W E N M E A D O W L A R K W R E N N LA N T IS R E D R O B IN F

More information

Fuzzy Sliding Mode Attitude Control of Satellite

Fuzzy Sliding Mode Attitude Control of Satellite Poi o th th IEEE Co o Diio a Cotol a th Eopa Cotol Co Svill Spai Dmb - MoC7. Fy Slii Mo Attit Cotol o Satllit X.. Li P. Ga a.z. Li Abtat h aaptiv y lii mo otol i appli to th attit tabiliatio o libl atllit.

More information

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r.

Statics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r. Statcs Th cotact btw a mapulato ad ts vomt sults tactv ocs ad momts at th mapulato/vomt tac. Statcs ams at aalyzg th latoshp btw th actuato dv tous ad th sultat oc ad momt appld at th mapulato dpot wh

More information

Brief Review of Linear System Theory

Brief Review of Linear System Theory Brief Review of Liear Sytem heory he followig iformatio i typically covered i a coure o liear ytem theory. At ISU, EE 577 i oe uch coure ad i highly recommeded for power ytem egieerig tudet. We have developed

More information

II.3. DETERMINATION OF THE ELECTRON SPECIFIC CHARGE BY MEANS OF THE MAGNETRON METHOD

II.3. DETERMINATION OF THE ELECTRON SPECIFIC CHARGE BY MEANS OF THE MAGNETRON METHOD II.3. DETEMINTION OF THE ELETON SPEIFI HGE Y MENS OF THE MGNETON METHOD. Wok pupos Th wok pupos is to dtin th atio btwn th absolut alu of th lcton chag and its ass, /, using a dic calld agnton. In this

More information

Potential Energy of the Electron in a Hydrogen Atom and a Model of a Virtual Particle Pair Constituting the Vacuum

Potential Energy of the Electron in a Hydrogen Atom and a Model of a Virtual Particle Pair Constituting the Vacuum Applid Physics Rsach; Vol 1, No 4; 18 ISSN 1916-9639 -ISSN 1916-9647 Publishd by Caadia Ct of Scic ad ducatio Pottial gy of th lcto i a Hydog Atom ad a Modl of a Vitual Paticl Pai Costitutig th Vacuum

More information

On Gaussian Distribution

On Gaussian Distribution Ppad b Çağata ada MU lctical gi. Dpt. Dc. documt vio. Gauia ditibutio i did a ollow O Gauia Ditibutio π h uctio i clal poitiv valud. Bo callig thi uctio a a pobabilit dit uctio w hould chc whth th aa ud

More information

Engineering Differential Equations Practice Final Exam Solutions Fall 2011

Engineering Differential Equations Practice Final Exam Solutions Fall 2011 9.6 Enginring Diffrntial Equation Practic Final Exam Solution Fall 0 Problm. (0 pt.) Solv th following initial valu problm: x y = xy, y() = 4. Thi i a linar d.. bcau y and y appar only to th firt powr.

More information

A novel analytic potential function applied to neutral diatomic molecules and charged lons

A novel analytic potential function applied to neutral diatomic molecules and charged lons Vol., No., 84-89 (00 http://dx.doi.o/0.46/s.00.08 Natual Scic A ovl aalytic pottial fuctio applid to utal diatomic molculs ad chad los Cha-F Yu, Cha-Ju Zhu, Cho-Hui Zha, Li-Xu So, Qiu-Pi Wa Dpatmt of physics,

More information

(Reference: sections in Silberberg 5 th ed.)

(Reference: sections in Silberberg 5 th ed.) ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists

More information

CHAPTER 5 CIRCULAR MOTION AND GRAVITATION

CHAPTER 5 CIRCULAR MOTION AND GRAVITATION 84 CHAPTER 5 CIRCULAR MOTION AND GRAVITATION CHAPTER 5 CIRCULAR MOTION AND GRAVITATION 85 In th pious chapt w discussd Nwton's laws of motion and its application in simpl dynamics poblms. In this chapt

More information

The angle between L and the z-axis is found from

The angle between L and the z-axis is found from Poblm 6 This is not a ifficult poblm but it is a al pain to tansf it fom pap into Mathca I won't giv it to you on th quiz, but know how to o it fo th xam Poblm 6 S Figu 6 Th magnitu of L is L an th z-componnt

More information

Physics 240: Worksheet 15 Name

Physics 240: Worksheet 15 Name Physics 40: Woksht 15 Nam Each of ths poblms inol physics in an acclatd fam of fnc Althouh you mind wants to ty to foc you to wok ths poblms insid th acclatd fnc fam (i.. th so-calld "won way" by som popl),

More information

Løsningsførslag i 4M

Løsningsførslag i 4M Norges tekisk aturviteskapelige uiversitet Istitutt for matematiske fag Side 1 av 6 Løsigsførslag i 4M Oppgave 1 a) A sketch of the graph of the give f o the iterval [ 3, 3) is as follows: The Fourier

More information

Lesson 5. Chapter 7. Wiener Filters. Bengt Mandersson. r k s r x LTH. September Prediction Error Filter PEF (second order) from chapter 4

Lesson 5. Chapter 7. Wiener Filters. Bengt Mandersson. r k s r x LTH. September Prediction Error Filter PEF (second order) from chapter 4 Optimal Sigal oceig Leo 5 Capte 7 Wiee Filte I ti capte we will ue te model ow below. Te igal ito te eceie i ( ( iga. Nomally, ti igal i ditubed by additie wite oie (. Te ifomatio i i (. Alo, we ofte ued

More information

( ) L = D e. e e. Example:

( ) L = D e. e e. Example: xapl: A Si p juctio diod av acoss sctioal aa of, a accpto coctatio of 5 0 8 c -3 o t p-sid ad a doo coctatio of 0 6 c -3 o t -sid. T lif ti of ols i -gio is 47 s ad t lif ti of lctos i t p-gio is 5 s.

More information

On a Problem of Littlewood

On a Problem of Littlewood Ž. JOURAL OF MATHEMATICAL AALYSIS AD APPLICATIOS 199, 403 408 1996 ARTICLE O. 0149 O a Poblem of Littlewood Host Alze Mosbache Stasse 10, 51545 Waldbol, Gemay Submitted by J. L. Bee Received May 19, 1995

More information

Temperature Distribution Control of Reactor Furnace by State Space Method using FEM Modeling

Temperature Distribution Control of Reactor Furnace by State Space Method using FEM Modeling Mmois of th Faculty of Egiig, Okayama ivsity, Vol. 4, pp. 79-90, Jauay 008 Tmpatu Distibutio Cotol of Racto Fuac by Stat Spac Mthod usig FEM Modlig Tadafumi NOTS Divisio of Elctoic ad Ifomatio Systm Egiig

More information

Multidimensional Laplace Transforms over Quaternions, Octonions and Cayley-Dickson Algebras, Their Applications to PDE

Multidimensional Laplace Transforms over Quaternions, Octonions and Cayley-Dickson Algebras, Their Applications to PDE dac i Pu Mathatic 63-3 http://dxdoiog/436/ap3 Pubihd Oi Mach (http://scipog/oua/ap) Mutidiioa Lapac Tafo o uatio Octoio ad Cayy-Dico gba Thi ppicatio to PDE Sgy Victo Ludoy Dpatt of ppid Mathatic Moco

More information

ECE 422 Power System Operations & Planning 6 Small Signal Stability. Spring 2015 Instructor: Kai Sun

ECE 422 Power System Operations & Planning 6 Small Signal Stability. Spring 2015 Instructor: Kai Sun ECE 4 Power Sytem Operatio & Plaig 6 Small Sigal Stability Sprig 15 Itructor: Kai Su 1 Referece Saadat Chapter 11.4 EPRI Tutorial Chapter 8 Power Ocillatio Kudur Chapter 1 Power Ocillatio The power ytem

More information

THIS PAGE DECLASSIFIED IAW EO 12958

THIS PAGE DECLASSIFIED IAW EO 12958 L " ^ \ : / 4 a " G E G + : C 4 w i V T / J ` { } ( : f c : < J ; G L ( Y e < + a : v! { : [ y v : ; a G : : : S 4 ; l J / \ l " ` : 5 L " 7 F } ` " x l } l i > G < Y / : 7 7 \ a? / c = l L i L l / c f

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

2011 HSC Mathematics Extension 1 Solutions

2011 HSC Mathematics Extension 1 Solutions 0 HSC Mathmatics Etsio Solutios Qustio, (a) A B 9, (b) : 9, P 5 0, 5 5 7, si cos si d d by th quotit ul si (c) 0 si cos si si cos si 0 0 () I u du d u cos d u.du cos (f) f l Now 0 fo all l l fo all Rag

More information

Noise in electronic components.

Noise in electronic components. No lto opot5098, JDS No lto opot Th PN juto Th ut thouh a PN juto ha fou opot t: two ffuo ut (hol fo th paa to th aa a lto th oppot to) a thal at oty ha a (hol fo th aa to th paa a lto th oppot to, laka

More information

August Tracks (Maps 7& 8)

August Tracks (Maps 7& 8) August Tacks (Maps 7& 8 Fist Tack, -6 August (Map7 All bull tout (4 dtctd duing this suy, w in th Pin watshd. Sinc th pvious suy, on fish (tag 47 mad a long-distanc momnt fom th mouth of th Alcs (na th

More information

The local orthonormal basis set (r,θ,φ) is related to the Cartesian system by:

The local orthonormal basis set (r,θ,φ) is related to the Cartesian system by: TIS in Sica Cooinats As not in t ast ct, an of t otntias tat w wi a wit a cnta otntias, aning tat t a jst fnctions of t istanc btwn a atic an so oint of oigin. In tis cas tn, (,, z as a t Coob otntia an

More information

8.6 Order-Recursive LS s[n]

8.6 Order-Recursive LS s[n] 8.6 Order-Recurive LS [] Motivate ti idea wit Curve Fittig Give data: 0,,,..., - [0], [],..., [-] Wat to fit a polyomial to data.., but wic oe i te rigt model?! Cotat! Quadratic! Liear! Cubic, Etc. ry

More information

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.

More information

GRAVITATION 4) R. max. 2 ..(1) ...(2)

GRAVITATION 4) R. max. 2 ..(1) ...(2) GAVITATION PVIOUS AMCT QUSTIONS NGINING. A body is pojctd vtically upwads fom th sufac of th ath with a vlocity qual to half th scap vlocity. If is th adius of th ath, maximum hight attaind by th body

More information

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps

More information

What Makes Production System Design Hard?

What Makes Production System Design Hard? What Maks Poduction Systm Dsign Had? 1. Things not always wh you want thm whn you want thm wh tanspot and location logistics whn invntoy schduling and poduction planning 2. Rsoucs a lumpy minimum ffctiv

More information

t S kangaroo ISLAND & SOUTH AUSTRALIA TO BOOK: aide A K A Yorke Peninsula Flinders Ranges Melbourne to Adelad n

t S kangaroo ISLAND & SOUTH AUSTRALIA TO BOOK: aide A K A Yorke Peninsula Flinders Ranges Melbourne to Adelad n T C & i I Y Pi Fi i M O TO BOO: OO ILD & OUTH UTLI C +61 8 80 8678 Vii i.. i i@i.. T Pi i 31 Mh 015 T 1300 655 990 U T V D D DY OF FU O: Di (D Mh) M, W, Th, (i ) M, Th, (M O) D: i C B i 6.45 i/ H/H i i

More information