The Auto-Tuning PID Controller for Interacting Water Level Process
|
|
- Sherilyn Wade
- 6 years ago
- Views:
Transcription
1 World Aademy of See, Egeerg ad Tehology Iteratoal Joural of Eletral ad Iformato Egeerg Vol:, No:, 7 The Auto-Tug PID Cotroller for Iteratg Water Level Proe Satea Tuyarrut, Taha Sukr, Arj Numomra, Supa Gulpah, ad tt Traeth Iteratoal See Idex, Eletral ad Iformato Egeerg Vol:, No:, 7 waet.org/publato/949 Abtrat Th paper preet the approah to deg the Auto- Tug PID otroller for teratve Water Level Proe ug tegral tep repoe. The Itegral Step Repoe (ISR) the method to model a dyam proe whh a be doe ealy, oveetly ad very effetly. Therefore th method advatage for deg the auto tue PID otroller. Our heme ue the root lou tehque to deg PID otroller. I th paper MATLAB ued for modelg ad tetg of the otrol ytem. The expermetal reult of the teratg water level proe a be atfygly llutrated the traet repoe ad the teady tate repoe. eyword Coupled-Tak, Iteratg water level proe, PID Cotroller, Auto-tug. I. INTRODUCTION MPORTANTLY, to model the dutral proe I eeary to deg the lear otroller uh a PI, PID. There are may method to model uh proe for example J.G. Zegler ad N.B. Nhol approah [] a well a.j Atrom ad T. Hugglud approah [] whh are famou ad better tha other tehque. Beaue of thee method are eay ad atfyg to model ytem by obtag the frequey ad ga at the rtal pot of the proe. Thee frequey ad ga a be employed to model the proe. However, th modelg[,3] ha a dver error wth the real proe, o that t brg about degg the better method amed Itegral Sytem Repoe (ISR) [4]. The ISR method ug the tep put gal employ to the proe ad meaure the repoe from the proe for ahevg the proe parameter. Th paper preet the deg of the Auto-Tug PID otroller for teratve Water Level Proe by root lou tehque ad the ytem modelg a be obtaed by tegral tep repoe method. II. THE INTERACTIVE COUPLED-TAN PROCESS Aordg to Fg., the put u the put preure wh h take to the pump, ad the output h the water level t ak. The olear equato a be obtaed by ma equval et equato ad Berury law gve by. dh () t β a k g h( t) h ( t) + u( t) ( ) dt A A dh () t β a β a gh ( t) + g h( t) h ( t) ( ) dt A A q Pump q o h Tak Tak h β Water β q o Fg. The teratve oupled-tak proe A the ro eto area of tak () ( m ), a the ro eto area of outlet of tak ( m ), a the ro eto area of joted ppe betwee tak ad tak ( m ), β the value rato at the outlet of tak, β the value rato betwee tak ad tak, g the gravty ( m / ) ad 3 k the ga of pump ( m / V ) aordg to equato learzed a equato. Satea Tuyarrut, Taha Sukr are wth Faulty of Egeerg, Pathumwa Ittute of Tehology, Bagkok 33, Thalad Arj Numomra, Supa Gulpah ad tt Traeth are wth Faulty of Egeerg, g Mogkut Ittute of Tehology Ladkrabag, Bagkok 5, Thalad (karj@kmtl.a.th). dh() t k ( H ( t ) + H ( t )) + U ( t ) dt T A dh() t + H () t + ( H () t H ()) t dt T T. () Iteratoal Sholarly ad Setf Reearh & Iovato () holar.waet.org/37-689/949
2 World Aademy of See, Egeerg ad Tehology Iteratoal Joural of Eletral ad Iformato Egeerg Vol:, No:, 7 Iteratoal See Idex, Eletral ad Iformato Egeerg Vol:, No:, 7 waet.org/publato/949 T A ( h ) h, T A h, βa g βa g h ad h the water level at operatg pot of th proe, T the tme otat betwee tak ad tak,ad T the tme otat of tak ad. For the equato a be modeled a the equato 3. Th the trafer futo for degg th otroller. H () G () U() TT + ( T + T ) + kt, m/ V A III. CONTROL SYSTEM STRUCTURE The otrol ytem truture ot of 3 part a how Fg.. The frt part the Iteratve oupled-tak proe; the eod part to defe the mathemat model of the proe ad the two degree of freedom otroller. Spefed %P.O. ad t RootLou Deg Pule Geerator Tug Model Etmator SP Forward PID Auto MV PV Plat Cotroller Cotroller Maual Fg. The otrol ytem truture I the part of modelg ytem, the Itegral Sytem Repoe (ISR) [4] ued for the Iteratve oupled-tak proe. Aordg to equato (3), t able to llutrate the eod order ytem wth two pole ad wthout zero thu, the modelg method by ISR wll be putted the tep gal for three tme. For the part of two degree of freedom otroller ot of the feedbak PID otroller ad feed forward pre-flter otroller. The mathematal model of otroller that obtaed by ISR deged the otroller by root lou tehque. [5] Feedbak otroller ( + z )( + z) d + p + G (4) Feed forward otroller z G f (5) ( + z ) (3) IV. INTEGRAL SYSTEM RESPONSE The Itegral Sytem Repoe (ISR) [4] a effetve approah to model the dutral proe beaue th method able to model uh proe ealy, ad the aheved model very loe to the atual proe. Formulate the trafer futo of the proe follow a. G () ( + γ ) ( + τ ) [ + ( γ+ γ + + γ ) + + ( γγ γ ) ] [ + ( τ + τ + L+ τ) + L+ ( ττ Lτ) [ + a + La ] [ b L b ] L L L b ( γ + γ + L+ γ ) a ( τ + τ + L+ τ ) M b ( γγ Lγ ) a ( ττ Lτ ) Iput the tep gal to the proe. M (6) y () t g( tτ )( τ) dτ (7) y ( t) Fg. 3 The proe repoe whe put tep gal order to defe value for Aordg to Fg. 3, the teady tate repoe a be aheved ad the fte tate elemet a be obtaed the equato (7) a followg. G () [ + b + Lb ] lm y ( t) lm lm t [ + a+ L a ] (8) Defe by y () t [ y ( τ )] dτ (9) y () t the tegral area betwee ad y () t to take Laplae to equato (9) a. Y() [ G()] () Defe by G() [ G()] ( a b) + ( a b) + L+ a + a+ La t () Iteratoal Sholarly ad Setf Reearh & Iovato () holar.waet.org/37-689/949
3 World Aademy of See, Egeerg ad Tehology Iteratoal Joural of Eletral ad Iformato Egeerg Vol:, No:, 7 The fte tate elemet a be obtaed the equato () a followg. [ G( )] lm y( t) lm [ G( )] ab t () Defe by y () t [ y ( τ )] dτ (3) y () t the tegral area betwee ad y () t y ( t ) Step 3. Fdg the ga of the otroller by ug the root lou tehque. d G ( d) H ( d) (7) Step 4. Subttuto all of the parameter the equato of otroller. Step 5. Plot the root lou of G() Gp() order to ofrm that the root lou pae the defed pot d. Step 6. To obta the atfyg repoe by puttg tep gal therefore, addg the feed forward otroller a how equato (8). z Gf () (8) ( + z ) Iteratoal See Idex, Eletral ad Iformato Egeerg Vol:, No:, 7 waet.org/publato/949 t Fg. 4 The proe repoe whe put tep gal order to defe value for From thee equato are able to derbe that the hgh order ytem mut take tep gal for may tme. The umber of takg tep put up to the order of eah proe whh oluded a the equato below. a a 3a3 ( ) + + L + a + ( ) b,,, (4) V. THE ROOT LOCUS TECHNIQUE To deg the otroller mut be defed the haratert of traet repoe ad teady tate repoe that a be explaed a. [5] ) The haratert of traet repoe a be derbed form of peret overhoot (P.O.) ) The haratert of teady tate repoe a be derbed form of ettlg tme t The method to deg for atfyg repoe at the traet tate ad teady tate a be appled a followg tep. Step. Fdg the dampg rato:ζ ad uder damped atural frequey: ω by oderg the haratert of traet repoe ad teady tate repoe from the equato (5). ζπ / ζ ( ± %) PO.. * e %, t 4 / ζω (5) d ζω ± jω ζ Step. Fdg the ummato of agle at d of the ope loop ytem G() Gp() by graphal method or arthmetal method ad the oder the eetal agle of ( d + z) order to the ummato of agle wll be beg aordg to the ytem odto.(6) ( θ z + θ z) + θ p (k+ ) π, k,,, (6) VI. EXPERIMENT RESULTS I th paper MATLAB ued for modelg ad tetg of the otrol ytem. The deg of the Auto-Tug PID otroller for teratve Water Level Proe by root lou tehque ad the ytem modelg a be obtaed by tegral tep repoe method. The expermetal reult of the teratg water level proe a be llutrated the repoe of otrol ytem ad the parameter ludg the operatg pot of the proe a how Table I ad Table II. TABLE I THE PARAMETERS OF THE PROCESS A, A; m a, a; m β β TABLE II THE OPERATING POINT OF THE PROCESS h; m h ; m u; V 3 k; m / V Aordg to the parameter ad the operatg pot of th proe a be tead to the equato (3). It wll be obtaed the trafer futo a equato (9) G () (9) VII. THE MODELED PROCESS BY USING ISR METHOD I the part of modelg ytem, after omparg the aheved model wth the o lear proe that a be modeled the proe followg the ISR method. Aordg to equato (3), the Iteratve oupled-tak proe, able to llutrate the eod order ytem wth two pole ad wthout zero thu, the modelg method by ISR wll be putted the tep gal for three tme order to get value of, ad a how fgure 5,6 ad 7 repetvely. Iteratoal Sholarly ad Setf Reearh & Iovato () holar.waet.org/37-689/949
4 World Aademy of See, Egeerg ad Tehology Iteratoal Joural of Eletral ad Iformato Egeerg Vol:, No:, 7 Aordg to Fg. 8, t llutrate the omparo of the tep put repoe betwee the modeled ytem from ISR ad olear model. I th artle, the traet repoe of the modeled ytem from ISR very mlar to the modeled ytem of olear model, but there ome error ot more tha 5 peret for ISR method. Iteratoal See Idex, Eletral ad Iformato Egeerg Vol:, No:, 7 waet.org/publato/949 Fg. 5 The proe repoe whe put tep gal for fdg Fg. 6 The proe repoe whe put tep gal for fdg Fg. 7 The proe repoe whe put tep gal for fdg A a reult, t wll be obtaed, ad a repetvely , 8.4 ad 779. Ad the the trafer futo a be formulated a a followg G () () Fg. 8 Comparo the tep put repoe betwee the modeled ytem from ISR ad olear model VIII. THE STEP INPUT RESPONSE I th top, The PID otroller deg by ug root lou tehque wll be explaed. The proe model whh aheved by ISR a the equato () employed to deg the otroller uder th odto. ( ± %) PO.. 5%, t 3e, e ( t) From the odtoal requremet, t to be. ζ.69, ω.93, d.33± j.4 Ad the t obtaed. θ 8.484, z.55, z.885, 8.5 Therefore, the feedbak otroller ad feed forward otroller are able to be how a followg. G G f Fg. 9 The root lou of otrol ytem Fg. The tep repoe of otrol ytem A a reult, the traet repoe of the modeled ytem from ISR ha the peret overhoot ot more tha 5 peret ad the ettg tme ot more tha 3 m. that uder the odto of otrol ytem deg. Iteratoal Sholarly ad Setf Reearh & Iovato () holar.waet.org/37-689/949
5 World Aademy of See, Egeerg ad Tehology Iteratoal Joural of Eletral ad Iformato Egeerg Vol:, No:, 7 IX. CONCLUSION Th paper preet the deg of Auto-tug PID otroller by ug Itegral Sytem Repoe method order to model the proe. The teratve Water Level Proe ued a a ae tudy ad the MATLAB to be a tool for modelg ad tetg the ytem. I th artle, the traet repoe of the modeled ytem from ISR very mlar to the modeled ytem of olear model, but there ome error ot more tha 5 peret that uder the odto of otrol ytem deg. Iteratoal See Idex, Eletral ad Iformato Egeerg Vol:, No:, 7 waet.org/publato/949 REFERENCES [] L, Ljug, Sytem Idetfato Theory for the Uer, Eglewood Clff, NJ, Prete-Hall 987. [] J.G. Zegler ad N.B. Nhol, Optmum ettg for automat otroller, Tra. ASME, vol.65, 943, pp [3].J. Atrom ad T. Hagglud, Automat tug of mple regulator, Proeedg of IFAC 9 th World Coger.,Budapet, Hugary, 984, [4] J. Dorey, Cotuou ad Drete Cotrol Sytem, MGraw Hll,. [5] Numomra A., -DOF Cotrol Sytem Deged by Root Lou Tehque, Proeedg of ACC otrol 5 th,orea, Otober. Iteratoal Sholarly ad Setf Reearh & Iovato () holar.waet.org/37-689/949
T-DOF PID Controller Design using Characteristic Ratio Assignment Method for Quadruple Tank Process
World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Electrcal ad Iformato Egeerg Vol:, No:, 7 T-DOF PID Cotroller Deg ug Charactertc Rato Agmet Method for Quadruple Tak Proce Tacha Sukr, U-tha
More informationROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K
ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu
More informationChapter 6 Control Systems Design by Root-Locus Method. Lag-Lead Compensation. Lag lead Compensation Techniques Based on the Root-Locus Approach.
hapter 6 ontrol Sytem Deign by Root-Lou Method Lag-Lead ompenation Lag lead ompenation ehnique Baed on the Root-Lou Approah. γ β K, ( γ >, β > ) In deigning lag lead ompenator, we onider two ae where γ
More informationIntroduction to Control Systems
Itroductio to Cotrol Sytem CLASSIFICATION OF MATHEMATICAL MODELS Icreaig Eae of Aalyi Static Icreaig Realim Dyamic Determiitic Stochatic Lumped Parameter Ditributed Parameter Liear Noliear Cotat Coefficiet
More informationState space systems analysis
State pace ytem aalyi Repreetatio of a ytem i tate-pace (tate-pace model of a ytem To itroduce the tate pace formalim let u tart with a eample i which the ytem i dicuio i a imple electrical circuit with
More informationOn a Truncated Erlang Queuing System. with Bulk Arrivals, Balking and Reneging
Appled Mathematcal Scece Vol. 3 9 o. 3 3-3 O a Trucated Erlag Queug Sytem wth Bul Arrval Balg ad Reegg M. S. El-aoumy ad M. M. Imal Departmet of Stattc Faculty Of ommerce Al- Azhar Uverty. Grl Brach Egypt
More informationELEC 372 LECTURE NOTES, WEEK 4 Dr. Amir G. Aghdam Concordia University
ELEC 37 LECTURE NOTES, WEE 4 Dr Amir G Aghdam Cocordia Uiverity Part of thee ote are adapted from the material i the followig referece: Moder Cotrol Sytem by Richard C Dorf ad Robert H Bihop, Pretice Hall
More information1. Linear second-order circuits
ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of
More informationAnalyzing Control Structures
Aalyzg Cotrol Strutures sequeg P, P : two fragmets of a algo. t, t : the tme they tae the tme requred to ompute P ;P s t t Θmaxt,t For loops for to m do P t: the tme requred to ompute P total tme requred
More informationSimple Linear Regression Analysis
LINEAR REGREION ANALYSIS MODULE II Lecture - 5 Smple Lear Regreo Aaly Dr Shalabh Departmet of Mathematc Stattc Ida Ittute of Techology Kapur Jot cofdece rego for A jot cofdece rego for ca alo be foud Such
More information11. Ideal Gas Mixture
. Ideal Ga xture. Geeral oderato ad xture of Ideal Gae For a geeral xture of N opoet, ea a pure ubtae [kg ] te a for ea opoet. [kol ] te uber of ole for ea opoet. e al a ( ) [kg ] N e al uber of ole (
More informationECEN620: Network Theory Broadband Circuit Design Fall 2014
ECE60: etwork Theory Broadbad Circuit Deig Fall 04 Lecture 3: PLL Aalyi Sam Palermo Aalog & Mixed-Sigal Ceter Texa A&M Uiverity Ageda & Readig PLL Overview & Applicatio PLL Liear Model Phae & Frequecy
More informationLinear Approximating to Integer Addition
Lear Approxmatg to Iteger Addto L A-Pg Bejg 00085, P.R. Cha apl000@a.com Abtract The teger addto ofte appled cpher a a cryptographc mea. I th paper we wll preet ome reult about the lear approxmatg for
More informationAutomatic Control Systems
Automatic Cotrol Sytem Lecture-5 Time Domai Aalyi of Orer Sytem Emam Fathy Departmet of Electrical a Cotrol Egieerig email: emfmz@yahoo.com Itrouctio Compare to the implicity of a firt-orer ytem, a eco-orer
More informationINEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS
Joural of Mathematcal Scece: Advace ad Alcato Volume 24, 23, Page 29-46 INEQUALITIES USING CONVEX COMBINATION CENTERS AND SET BARYCENTERS ZLATKO PAVIĆ Mechacal Egeerg Faculty Slavok Brod Uverty of Ojek
More informationSystem Control. Lesson #19a. BME 333 Biomedical Signals and Systems - J.Schesser
Sytem Cotrol Leo #9a 76 Sytem Cotrol Baic roblem Say you have a ytem which you ca ot alter but it repoe i ot optimal Example Motor cotrol for exokeleto Robotic cotrol roblem that ca occur Utable Traiet
More informationUlam stability for fractional differential equations in the sense of Caputo operator
Sogklaakar J. S. Tehol. 4 (6) 71-75 Nov. - De. 212 http://www.sjst.psu.a.th Orgal Artle Ulam stablty for fratoal dfferetal equatos the sese of Caputo operator Rabha W. Ibrahm* Isttute of Mathematal Sees
More informationTrignometric Inequations and Fuzzy Information Theory
Iteratoal Joural of Scetfc ad Iovatve Mathematcal Reearch (IJSIMR) Volume, Iue, Jauary - 0, PP 00-07 ISSN 7-07X (Prt) & ISSN 7- (Ole) www.arcjoural.org Trgometrc Iequato ad Fuzzy Iformato Theory P.K. Sharma,
More informationThe Performance of Feedback Control Systems
The Performace of Feedbac Cotrol Sytem Objective:. Secify the meaure of erformace time-domai the firt te i the deig roce Percet overhoot / Settlig time T / Time to rie / Steady-tate error e. ut igal uch
More informationCurrent Programmed Control (i.e. Peak Current-Mode Control) Lecture slides part 2 More Accurate Models
Curret Progred Cotrol.e. Pek Curret-Mode Cotrol eture lde prt More Aurte Model ECEN 5807 Drg Mkovć Sple Frt-Order CPM Model: Sury Aupto: CPM otroller operte delly, Ueful reult t low frequee, well uted
More informationOne Approach to Adaptive Control of a Tubular Chemical Reactor
Petr Dotál, Vladmír Bobál, Jří Vojtěšek, Zdeěk Babík Oe Approah to Adaptve Cotrol of a Tubular Chemal Reator PETR DOSTÁL, VLADIMÍR BOBÁL, JIŘÍ VOJTĚŠEK, ad ZDENĚK BABÍK Toma Bata Uverty Zl Departmet of
More informationLecture 07: Poles and Zeros
Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto
More informationLast time: Ground rules for filtering and control system design
6.3 Stochatic Etimatio ad Cotrol, Fall 004 Lecture 7 Lat time: Groud rule for filterig ad cotrol ytem deig Gral ytem Sytem parameter are cotaied i w( t ad w ( t. Deired output i grated by takig the igal
More informationRuin Probability-Based Initial Capital of the Discrete-Time Surplus Process
Ru Probablty-Based Ital Captal of the Dsrete-Tme Surplus Proess by Parote Sattayatham, Kat Sagaroo, ad Wathar Klogdee AbSTRACT Ths paper studes a surae model uder the regulato that the surae ompay has
More informationSection 2:00 ~ 2:50 pm Thursday in Maryland 202 Sep. 29, 2005
Seto 2:00 ~ 2:50 pm Thursday Marylad 202 Sep. 29, 2005. Homework assgmets set ad 2 revews: Set : P. A box otas 3 marbles, red, gree, ad blue. Cosder a expermet that ossts of takg marble from the box, the
More informationHigh-Speed Serial Interface Circuits and Systems. Lect. 4 Phase-Locked Loop (PLL) Type 1 (Chap. 8 in Razavi)
High-Speed Serial Iterface Circuit ad Sytem Lect. 4 Phae-Locked Loop (PLL) Type 1 (Chap. 8 i Razavi) PLL Phae lockig loop A (egative-feedback) cotrol ytem that geerate a output igal whoe phae (ad frequecy)
More informationThe Mathematical Appendix
The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.
More informationMultiple Choice Test. Chapter Adequacy of Models for Regression
Multple Choce Test Chapter 06.0 Adequac of Models for Regresso. For a lear regresso model to be cosdered adequate, the percetage of scaled resduals that eed to be the rage [-,] s greater tha or equal to
More informationDesign maintenanceand reliability of engineering systems: a probability based approach
Desg mateaead relablty of egeerg systems: a probablty based approah CHPTER 2. BSIC SET THEORY 2.1 Bas deftos Sets are the bass o whh moder probablty theory s defed. set s a well-defed olleto of objets.
More informationOptimal MinMax Problems Regarding Capitalization of Compound Interest
Proeedg of the 5th WEA Iteratoal Coferee o Eoomy ad Maagemet Traformato (Volume II Optmal MMax Problem Regardg Captalzato of Compoud Iteret ILIE MITRAN Departmet of Mathemat ILIE RĂCOLEAN, IMOLA DRIGĂ
More informationLayered structures: transfer matrix formalism
Layered tructure: trafer matrx formalm Iterface betwee LI meda Trafer matrx formalm Petr Kužel Practcally oly oe formula to be kow order to calculate ay tructure Applcato: Atreflectve coatg Delectrc mrror,
More informationOptimal Design of Multi-loop PI Controllers for Enhanced Disturbance Rejection in Multivariable Processes
Proeedng of the 3rd WSEAS/IASME Internatonal Conferene on Dynamal Sytem and Control, Arahon, Frane, Otober 3-5, 2007 72 Optmal Degn of Mult-loop PI Controller for Enhaned Dturbane Rejeton n Multvarable
More informationBayes (Naïve or not) Classifiers: Generative Approach
Logstc regresso Bayes (Naïve or ot) Classfers: Geeratve Approach What do we mea by Geeratve approach: Lear p(y), p(x y) ad the apply bayes rule to compute p(y x) for makg predctos Ths s essetally makg
More informationON THE LOGARITHMIC INTEGRAL
Hacettepe Joural of Mathematcs ad Statstcs Volume 39(3) (21), 393 41 ON THE LOGARITHMIC INTEGRAL Bra Fsher ad Bljaa Jolevska-Tueska Receved 29:9 :29 : Accepted 2 :3 :21 Abstract The logarthmc tegral l(x)
More information2006 Jamie Trahan, Autar Kaw, Kevin Martin University of South Florida United States of America
SOLUTION OF SYSTEMS OF SIMULTANEOUS LINEAR EQUATIONS Gauss-Sedel Method 006 Jame Traha, Autar Kaw, Kev Mart Uversty of South Florda Uted States of Amerca kaw@eg.usf.edu Itroducto Ths worksheet demostrates
More informationREVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION
REVIEW OF SIMPLE LINEAR REGRESSION SIMPLE LINEAR REGRESSION I lear regreo, we coder the frequecy dtrbuto of oe varable (Y) at each of everal level of a ecod varable (X). Y kow a the depedet varable. The
More informationComparison of Four Methods for Estimating. the Weibull Distribution Parameters
Appled Mathematal Sees, Vol. 8, 14, o. 83, 4137-4149 HIKARI Ltd, www.m-hkar.om http://dx.do.org/1.1988/ams.14.45389 Comparso of Four Methods for Estmatg the Webull Dstrbuto Parameters Ivaa Pobočíková ad
More informationOn the Nonlinear Difference Equation
Joural of Appled Mathemats ad Phss 6 4-9 Pulshed Ole Jauar 6 SRes http://wwwsrporg/joural/jamp http://ddoorg/436/jamp644 O the Nolear Dfferee Equato Elmetwall M Elaas Adulmuhaem A El-Bat Departmet of Mathemats
More informationECE-320 Linear Control Systems. Spring 2014, Exam 1. No calculators or computers allowed, you may leave your answers as fractions.
ECE-0 Linear Control Sytem Spring 04, Exam No calculator or computer allowed, you may leave your anwer a fraction. All problem are worth point unle noted otherwie. Total /00 Problem - refer to the unit
More informationPowerPoints organized by Dr. Michael R. Gustafson II, Duke University Revised by Prof. Jang, CAU
Part 4 Capter 6 Sple ad Peewe Iterpolato PowerPot orgazed y Dr. Mael R. Gutao II Duke Uverty Reved y Pro. Jag CAU All mage opyrgt Te MGraw-Hll Compae I. Permo requred or reproduto or dplay. Capter Ojetve
More informationMODERN CONTROL SYSTEMS
MODERN CONTROL SYSTEMS Lecture 1 Root Locu Emam Fathy Department of Electrical and Control Engineering email: emfmz@aat.edu http://www.aat.edu/cv.php?dip_unit=346&er=68525 1 Introduction What i root locu?
More informationMONOPOLISTIC COMPETITION MODEL
MONOPOLISTIC COMPETITION MODEL Key gredets Cosumer utlty: log (/ ) log (taste for varety of dfferetated goods) Produto of dfferetated produts: y (/ b) max[ f, ] (reasg returs/fxed osts) Assume that good,
More informationA Remark on the Uniform Convergence of Some Sequences of Functions
Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut
More informationOptimization design of wind turbine drive train based on Matlab genetic algorithm toolbox
IOP Coferee Seres: Materals See ad Egeerg OPEN ACCESS Optmzato desg of wd ture drve tra ased o Matla geet algorthm toolox o te ths artle: R N L et al 2013 IOP Cof. Ser.: Mater. S. Eg. 52 052013 Vew the
More informationTail Factor Convergence in Sherman s Inverse Power Curve Loss Development Factor Model
Tal Fator Covergee Sherma s Iverse Power Curve Loss Developmet Fator Model Jo Evas ABSTRACT The fte produt of the age-to-age developmet fators Sherma s verse power urve model s prove to overge to a fte
More informationAPPLYING TRANSFORMATION CHARACTERISTICS TO SOLVE THE MULTI OBJECTIVE LINEAR FRACTIONAL PROGRAMMING PROBLEMS
Iteratoal Joural of Computer See & Iformato eholog IJCSI Vol 9, No, Aprl 07 APPLYING RANSFORMAION CHARACERISICS O SOLVE HE MULI OBJECIVE LINEAR FRACIONAL PROGRAMMING PROBLEMS We Pe Departmet of Busess
More informationUnsupervised Learning and Other Neural Networks
CSE 53 Soft Computg NOT PART OF THE FINAL Usupervsed Learg ad Other Neural Networs Itroducto Mture Destes ad Idetfablty ML Estmates Applcato to Normal Mtures Other Neural Networs Itroducto Prevously, all
More informationResearch Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings
Hdaw Publshg Corporato Iteratoal Joural of Mathematcs ad Mathematcal Sceces Volume 009, Artcle ID 391839, 9 pages do:10.1155/009/391839 Research Artcle A New Iteratve Method for Commo Fxed Pots of a Fte
More informationSYSTEMS OF NON-LINEAR EQUATIONS. Introduction Graphical Methods Close Methods Open Methods Polynomial Roots System of Multivariable Equations
SYSTEMS OF NON-LINEAR EQUATIONS Itoduto Gaphal Method Cloe Method Ope Method Polomal Root Stem o Multvaale Equato Chapte Stem o No-Lea Equato /. Itoduto Polem volvg o-lea equato egeeg lude optmato olvg
More informationCH E 374 Computational Methods in Engineering Fall 2007
CH E 7 Computatoal Methods Egeerg Fall 007 Sample Soluto 5. The data o the varato of the rato of stagato pressure to statc pressure (r ) wth Mach umber ( M ) for the flow through a duct are as follows:
More informationStudy of Dynamic Thermal Performance of Active Pipe-embedded Building Envelopes Based on Frequency-Domain Finite Difference Method
Stdy of Dyam Thermal Performae of Ate Ppe-embedded Bldg Eelope Baed o Freqey-Doma Fte Dfferee Method Qya Zh, Xha X *, Jha Y Departmet of Bldg Eromet & Sere Egeerg, Hazhog Uerty of See & Tehology 7, Cha
More informationQuiz 1- Linear Regression Analysis (Based on Lectures 1-14)
Quz - Lear Regreo Aaly (Baed o Lecture -4). I the mple lear regreo model y = β + βx + ε, wth Tme: Hour Ε ε = Ε ε = ( ) 3, ( ), =,,...,, the ubaed drect leat quare etmator ˆβ ad ˆβ of β ad β repectvely,
More informationPID CONTROL. Presentation kindly provided by Dr Andy Clegg. Advanced Control Technology Consortium (ACTC)
PID CONTROL Preentation kindly provided by Dr Andy Clegg Advaned Control Tehnology Conortium (ACTC) Preentation Overview Introdution PID parameteriation and truture Effet of PID term Proportional, Integral
More information2. Higher Order Consensus
Prepared by F.L. Lews Updated: Wedesday, February 3, 0. Hgher Order Cosesus I Seto we dsussed ooperatve otrol o graphs for dyamal systems that have frstorder dyams, that s, a sgle tegrator or shft regster
More informationd dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin
Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace
More informationChapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II
CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh
More informationInternational Journal of Pure and Applied Sciences and Technology
It J Pure Appl Sc Techol, () (00), pp 79-86 Iteratoal Joural of Pure ad Appled Scece ad Techology ISSN 9-607 Avalable ole at wwwjopaaat Reearch Paper Some Stroger Chaotc Feature of the Geeralzed Shft Map
More informationLecture 5 Introduction to control
Lecture 5 Introduction to control Tranfer function reviited (Laplace tranform notation: ~jω) () i the Laplace tranform of v(t). Some rule: ) Proportionality: ()/ in () 0log log() v (t) *v in (t) () * in
More informationEE/ME/AE324: Dynamical Systems. Chapter 8: Transfer Function Analysis
EE/ME/AE34: Dynamical Sytem Chapter 8: Tranfer Function Analyi The Sytem Tranfer Function Conider the ytem decribed by the nth-order I/O eqn.: ( n) ( n 1) ( m) y + a y + + a y = b u + + bu n 1 0 m 0 Taking
More informationDelhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubaneswar Kolkata Patna Web: Ph:
Serial :. PT_EE_A+C_Control Sytem_798 Delhi Noida Bhopal Hyderabad Jaipur Lucknow Indore Pune Bhubanewar olkata Patna Web: E-mail: info@madeeay.in Ph: -4546 CLASS TEST 8-9 ELECTRICAL ENGINEERING Subject
More informationCompensation Techniques
D Compenation ehnique Performane peifiation for the loed-loop ytem Stability ranient repone Æ, M (ettling time, overhoot) or phae and gain margin Steady-tate repone Æ e (teady tate error) rial and error
More informationEECE 301 Signals & Systems Prof. Mark Fowler
EECE 30 Sigal & Sytem Prof. Mark Fowler Note Set #8 C-T Sytem: Laplace Traform Solvig Differetial Equatio Readig Aigmet: Sectio 6.4 of Kame ad Heck / Coure Flow Diagram The arrow here how coceptual flow
More informationReaction Time VS. Drug Percentage Subject Amount of Drug Times % Reaction Time in Seconds 1 Mary John Carl Sara William 5 4
CHAPTER Smple Lear Regreo EXAMPLE A expermet volvg fve ubject coducted to determe the relatohp betwee the percetage of a certa drug the bloodtream ad the legth of tme t take the ubject to react to a tmulu.
More informationGeneralization of the Dissimilarity Measure of Fuzzy Sets
Iteratoal Mathematcal Forum 2 2007 o. 68 3395-3400 Geeralzato of the Dssmlarty Measure of Fuzzy Sets Faramarz Faghh Boformatcs Laboratory Naobotechology Research Ceter vesa Research Isttute CECR Tehra
More informationr y Simple Linear Regression How To Study Relation Between Two Quantitative Variables? Scatter Plot Pearson s Sample Correlation Correlation
Maatee Klled Correlato & Regreo How To Study Relato Betwee Two Quattatve Varable? Smple Lear Regreo 6.11 A Smple Regreo Problem 1 I there relato betwee umber of power boat the area ad umber of maatee klled?
More informationKR20 & Coefficient Alpha Their equivalence for binary scored items
KR0 & Coeffcet Alpha Ther equvalece for bary cored tem Jue, 007 http://www.pbarrett.et/techpaper/r0.pdf f of 7 Iteral Cotecy Relablty for Dchotomou Item KR 0 & Alpha There apparet cofuo wth ome dvdual
More informationLast 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 informationA class of efficient Ratio type estimators for the Estimation of Population Mean Using the auxilliary information in survey sampling
0 IJE olume Iue IN: - A la o eet ato tpe etmator or te Etmato o Populato Mea Ug te aullar ormato urve amplg Mr uzar. Maqool ad T. A. aja vo o Agrultural tatt KUAT-Kamr 00 Ida. Atrat: - Etmato o te populato
More informationOn Modified Interval Symmetric Single-Step Procedure ISS2-5D for the Simultaneous Inclusion of Polynomial Zeros
It. Joural of Math. Aalyss, Vol. 7, 2013, o. 20, 983-988 HIKARI Ltd, www.m-hkar.com O Modfed Iterval Symmetrc Sgle-Step Procedure ISS2-5D for the Smultaeous Icluso of Polyomal Zeros 1 Nora Jamalud, 1 Masor
More informationC.11 Bang-bang Control
Itroucto to Cotrol heory Iclug Optmal Cotrol Nguye a e -.5 C. Bag-bag Cotrol. Itroucto hs chapter eals wth the cotrol wth restrctos: s boue a mght well be possble to have scotutes. o llustrate some of
More informationMathematical Statistics
Mathematal Statsts 2 1 Chapter II Probablty 21 Bas Coepts The dsple of statsts deals wth the olleto ad aalyss of data Whe measuremets are tae, eve seemgly uder the same odtos, the results usually vary
More informationCONTROL SYSTEMS. Chapter 7 : Bode Plot. 40dB/dec 1.0. db/dec so resultant slope will be 20 db/dec and this is due to the factor s
CONTROL SYSTEMS Chapter 7 : Bode Plot GATE Objective & Numerical Type Solutio Quetio 6 [Practice Book] [GATE EE 999 IIT-Bombay : 5 Mark] The aymptotic Bode plot of the miimum phae ope-loop trafer fuctio
More informationA Method for Damping Estimation Based On Least Square Fit
Amerca Joural of Egeerg Research (AJER) 5 Amerca Joural of Egeerg Research (AJER) e-issn: 3-847 p-issn : 3-936 Volume-4, Issue-7, pp-5-9 www.ajer.org Research Paper Ope Access A Method for Dampg Estmato
More informationSimple Linear Regression. How To Study Relation Between Two Quantitative Variables? Scatter Plot. Pearson s Sample Correlation.
Correlato & Regreo How To Study Relato Betwee Two Quattatve Varable? Smple Lear Regreo 6. A Smple Regreo Problem I there relato betwee umber of power boat the area ad umber of maatee klled? Year NPB( )
More informationBounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy
Bouds o the expected etropy ad KL-dvergece of sampled multomal dstrbutos Brado C. Roy bcroy@meda.mt.edu Orgal: May 18, 2011 Revsed: Jue 6, 2011 Abstract Iformato theoretc quattes calculated from a sampled
More informationPhysics 114 Exam 2 Fall Name:
Physcs 114 Exam Fall 015 Name: For gradg purposes (do ot wrte here): Questo 1. 1... 3. 3. Problem Aswer each of the followg questos. Pots for each questo are dcated red. Uless otherwse dcated, the amout
More informationChapter #5 EEE Control Systems
Sprig EEE Chpter #5 EEE Cotrol Sytem Deig Bed o Root Locu Chpter / Sprig EEE Deig Bed Root Locu Led Cotrol (equivlet to PD cotrol) Ued whe the tedy tte propertie of the ytem re ok but there i poor performce,
More informationAnswer: 1(A); 2(C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 10(A); 11(A); 12(C); 13(C)
Aswer: (A); (C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 0(A); (A); (C); 3(C). A two loop positio cotrol system is show below R(s) Y(s) + + s(s +) - - s The gai of the Tacho-geerator iflueces maily the
More informationManipulator Dynamics. Amirkabir University of Technology Computer Engineering & Information Technology Department
Mapulator Dyamcs mrkabr Uversty of echology omputer Egeerg formato echology Departmet troducto obot arm dyamcs deals wth the mathematcal formulatos of the equatos of robot arm moto. hey are useful as:
More informationESTIMATION METHODS IN MONTE CARLO PARTICLE TRANSPORT SIMULATIONS
ESTIMATION METHODS IN MONTE CARLO PARTICLE TRANSPORT SIMULATIONS M. Ragheb 4/9/2004 INTRODUCTION I Mote Carlo traport alulato, we ormally wh to etmate reato rate of teret. e tart by ummg up the partle
More informationTemperature Memory Effect in Amorphous Shape Memory Polymers. Kai Yu 1, H. Jerry Qi 1, *
Electroc Supplemetary Materal (ESI) for Soft Matter. h joural he Royal Socety of Chemtry 214 Supplemetary Materal for: emperature Memory Effect Amorphou Shape Memory Polymer Ka Yu 1, H. Jerry Q 1, * 1
More information18.413: Error Correcting Codes Lab March 2, Lecture 8
18.413: Error Correctg Codes Lab March 2, 2004 Lecturer: Dael A. Spelma Lecture 8 8.1 Vector Spaces A set C {0, 1} s a vector space f for x all C ad y C, x + y C, where we take addto to be compoet wse
More informationCHAPTER 1: PEREVIEW. 1. Nature of Process Control Problem CLIENT HARDWARE. LEVEL-6 Planning. LEVEL-5 Scheduling. LEVEL-4 Real-Time Optimization
CHPER : PEREVIEW. Nature o Proe Cotrol Proble CLIEN IMERME CIVIY HRDWRE Upper level aageet Week-Mot LEVEL-6 Plaig Corporate oplex etwork Plat ager Da-Week LEVEL-5 Sedulig Platwide Ioratio te Proe Egieer
More informationA New Family of Transformations for Lifetime Data
Proceedgs of the World Cogress o Egeerg 4 Vol I, WCE 4, July - 4, 4, Lodo, U.K. A New Famly of Trasformatos for Lfetme Data Lakhaa Watthaacheewakul Abstract A famly of trasformatos s the oe of several
More informationLecture Notes Types of economic variables
Lecture Notes 3 1. Types of ecoomc varables () Cotuous varable takes o a cotuum the sample space, such as all pots o a le or all real umbers Example: GDP, Polluto cocetrato, etc. () Dscrete varables fte
More informationCarbonyl Groups. University of Chemical Technology, Beijing , PR China;
Electroc Supplemetary Materal (ESI) for Physcal Chemstry Chemcal Physcs Ths joural s The Ower Socetes 0 Supportg Iformato A Theoretcal Study of Structure-Solublty Correlatos of Carbo Doxde Polymers Cotag
More informationHomework 7 Solution - AME 30315, Spring s 2 + 2s (s 2 + 2s + 4)(s + 20)
1 Homework 7 Solution - AME 30315, Spring 2015 Problem 1 [10/10 pt] Ue partial fraction expanion to compute x(t) when X 1 () = 4 2 + 2 + 4 Ue partial fraction expanion to compute x(t) when X 2 () = ( )
More informationMu Sequences/Series Solutions National Convention 2014
Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed
More informationAnalysis of Stability &
INC 34 Feedback Control Sytem Analyi of Stability & Steady-State Error S Wonga arawan.won@kmutt.ac.th Summary from previou cla Firt-order & econd order ytem repone τ ωn ζω ω n n.8.6.4. ζ ζ. ζ.5 ζ ζ.5 ct.8.6.4...4.6.8..4.6.8
More informationME 375 FINAL EXAM Wednesday, May 6, 2009
ME 375 FINAL EXAM Wedneday, May 6, 9 Diviion Meckl :3 / Adam :3 (circle one) Name_ Intruction () Thi i a cloed book examination, but you are allowed three ingle-ided 8.5 crib heet. A calculator i NOT allowed.
More informationRoot Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples
Root Locu Content Root locu, ketching algorithm Root locu, example Root locu, proof Root locu, control example Root locu, influence of zero and pole Root locu, lead lag controller deign 9 Spring ME45 -
More informationLecture 3 Probability review (cont d)
STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto
More informationLag-Lead Compensator Design
Lag-Lead Compenator Deign ELEC 3 Spring 08 Lag or Lead Struture A bai ompenator onit of a gain, one real pole and one real zero Two type: phae-lead and phae-lag Phae-lead: provide poitive phae hift and
More informationME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004
ME 375 FINAL EXAM SOLUTIONS Friday December 7, 004 Diviion Adam 0:30 / Yao :30 (circle one) Name Intruction () Thi i a cloed book eamination, but you are allowed three 8.5 crib heet. () You have two hour
More informationDigital Control System
Digital Control Sytem - A D D A Micro ADC DAC Proceor Correction Element Proce Clock Meaurement A: Analog D: Digital Continuou Controller and Digital Control Rt - c Plant yt Continuou Controller Digital
More informationAitken delta-squared generalized Juncgk-type iterative procedure
Atke delta-squared geeralzed Jucgk-type teratve procedure M. De la Se Isttute of Research ad Developmet of Processes. Uversty of Basque Coutry Campus of Leoa (Bzkaa) PO Box. 644- Blbao, 488- Blbao. SPAIN
More informationLinear Open Loop Systems
Colordo School of Me CHEN43 Trfer Fucto Ler Ope Loop Sytem Ler Ope Loop Sytem... Trfer Fucto for Smple Proce... Exmple Trfer Fucto Mercury Thermometer... 2 Derblty of Devto Vrble... 3 Trfer Fucto for Proce
More information( ) Thermal noise ktb (T is absolute temperature in kelvin, B is bandwidth, k is Boltzamann s constant) Shot noise
OISE Thermal oe ktb (T abolute temperature kelv, B badwdth, k Boltzama cotat) 3 k.38 0 joule / kelv ( joule /ecod watt) ( ) v ( freq) 4kTB Thermal oe refer to the ketc eergy of a body of partcle a a reult
More informationTHE COMPLETE ENUMERATION OF FINITE GROUPS OF THE FORM R 2 i ={R i R j ) k -i=i
ENUMERATON OF FNTE GROUPS OF THE FORM R ( 2 = (RfR^'u =1. 21 THE COMPLETE ENUMERATON OF FNTE GROUPS OF THE FORM R 2 ={R R j ) k -= H. S. M. COXETER*. ths paper, we vestgate the abstract group defed by
More informationThird handout: On the Gini Index
Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The
More information