Keywords: Controllers with PI and PID dynamics, Takagi-Sugeno fuzzy models, Takagi- Sugeno fuzzy controllers, stability analysis, winding system.

Size: px
Start display at page:

Download "Keywords: Controllers with PI and PID dynamics, Takagi-Sugeno fuzzy models, Takagi- Sugeno fuzzy controllers, stability analysis, winding system."

Transcription

1 Ata Poytehnia Hungaria Vo. 2, No., 2005 Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters Stefan Preit *, Radu-Emi Preup *, Zsuzsa Preit *,** * Poitehnia University of Timisoara, Dept. of Automation and App. Inform. Bd. V. Parvan 2, RO Timisoara, Romania Phone: , -30, -24, -26, Fax: E-mai: spreit@aut.utt.ro, rpreup@aut.utt.ro ** Budapest University of Tehnoogy and Eonomis, Dept. of Automation and Appied Informatis, MTA-BME Contro Researh Group Godmann Gy. tér 3, H-, Budapest, Hungary; fax : E-mai : preit@aut.bme.hu Abstrat: The paper presents deveopment and tuning tehniques and soutions for PI and PID ontroers, and Takagi-Sugeno fuzzy ontroers with PI and PID type dynamis meant for appiations whih an be haraterised with ow order benhmark type modees (for exampe eetria and hydraui driving and positioning system.two type of pants and two ontro strutures with homogenous and with non-homogenous information proessing with respet to the inputs are presented, inuding tuning and optimization aspets. Then Takagi-Sugeno fuzzy modes dediated to a ass of pants haraterized by Two Input- Singe Output inear time-varying systems are presented. It is offered a stabiity test agorithm of the fuzzy ontro systems invoving Takagi-Sugeno fuzzy ontroers, to ontro the aepted ass of pants. The tuning methods are briefy presented in reation with a ontro soution for a drive system with a variabe inertia strip winding system. Keywords: Controers with PI and PID dynamis, Takagi-Sugeno fuzzy modes, Takagi- Sugeno fuzzy ontroers, stabiity anaysis, winding system. Introdution Take the ass of pants (P) having the transfer funtions expressed as: k P H P ( (a), s( + st ) Σ k P H P ( (b) (.) ( + st )( + st ) Σ 75

2 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters kp H P ( (a), s( + st )( + st ) Σ kp H ( (b). (.2) P ( + st )( + st )( + st ) 2 Σ The parametres k P an be onstant or variabe, and it is asumed that T Σ < T 2 <(<<) T ; this ass of modes haraterize we enough eetria and hydraui driving and possitioning systems (ontro of possition and drive appiations as ontroed pant [], [2], [6]. The paper s aim is to deveop Takagi-Sugeno (TS) fuzzy ontroers (FC based on assia deveopment methods, meant for position ontro of eetria and hydraui drives with inear onstant or time-varying (LTV) parameters haraterized by benhmark type modes of form () and (2). If the parameters are ontinuousy varying, the LTV systems may resut as inearized noninear systems in the viinity of a set of operating points or of an operating trajetory. These features determine the wide appiation area of robust ontro, adaptive ontro and TS fuzzy modes. Regarded to the use of TS fuzzy modes, the appiation is based in spite of their drawbaks suh as: - The behavior of the goba TS fuzzy mode an signifianty divert from the expeted behavior obtained by the merge of the oa modes; - The stabiity anaysis and testing of fuzzy ontro systems based on TS fuzzy modes is reativey diffiut, beause of the ompex aggregation of the oa modes in the inferene engine. Firsty, the paper presents two assia deveopment proedures for ontinuousy and quasi-ontinuousy working PI and PID ontroers, based on extensions of the widey used Symmetria Optimum Method (Setion 2). Then, a ass of TS modes for Two Input-Singe Output (TISO) LTV pants is presented (Setion 3). In Setion 4 there are defined the TS fuzzy ontroers meant for ontroing the TS fuzzy modes. Based on these, a stabiity test agorithm is presented (based on Lyapunov s stabiity theory) for a ass of fuzzy systems with TS fuzzy ontroers ontroing the TISO LTV pants (Setion 5). Resuts onerning the deveopment of onventiona and fuzzy ontro soutions for a drive system with two output ouped motors, appiabe to the ros of a hot roing mi and to a variabe inertia strip winding system, are presented in Setion 6. Setion 7 is foused on the onuding part of the paper. 76

3 Ata Poytehnia Hungaria Vo. 2, No., Deveopment of Continuousy and Quasi- Continuousy Operating PI and PID Contro Agorithms Many ontro appiations prefer strutures with typia ontro agorithms with homogenous or non-homogenous information proessing on the two input hannes [], [3], [4]. Suh strutures have the genera form given in Fig. 2.-a -b and - presents some partiuar ontro aws regarding the inputs. The boks ()... (5) an be desribed by its speifi transfer funtions (t.f.; w(t) or r(t) the referene signa (or the fitered referne signa), y(t) - the measured output, u(t) - the ontro signa (or its omponents, with index), e(t) - the ontro error. There an be estabished reations between suh ontroers and the 2-DOF ontroers [3]. For exampe, a bok diagram of a 2-DOF ontro struture is presented in figure 2.2. R(z), S(z) and T(z) are the harateristi boks of the 2- DOF ontroer, P is the pant; v (t), v 2 (t) pant disturbanes. Figure 2. Typia I-DOF ontroer strutures and partiuarization Figure 2.2 Struture of the 2-DOF ontroer. The 2-DOF ontroer an be restrutured in different ways; for the given ow order pants from a pratia point of view the presene of a onventiona 77

4 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters ontroer (partiuary PI or a PID and signa fiter an be highighted. Two types of strutures are detaied in figure 2.3. These rearrangements aow: - to take over design experiene from ase of PI and PID ontroers; - an easy introdution of suppementary boks speifi to PI and PID ontroers (Anti Windup iruit, bumpess swithing and other; - the transformation of PI and PID ontroers into 2 DOF strutures and vie versa. The ontroers in figure 2.3 wi be haraterized for exampe by ontinuous t.f.s C(, C F (, C * (, C P (, in whih the parae reaisation tuning parameters are highighted{k C, T i, T d, T f }; disretizing, the digita ontro agorithm is obtained. Taking the basi ontroer C( of PID type, it an be written: - for the basi PID struture in Fig. 2. (b) (parae form): u( C k e( std ( + + st + st ( β ) TiTd s + ( α ) T * is + r ( ( + st f ) ), F( r( TiTd s + Ti s + ( + st ) ( C 2 i f f 2 ; (2.) Figure 2.3 Two aternatives for rearranging a 2 DOF ontroer. - for the struture (a) in figure 2.3: u( st u f ( d std C( kr ( + + ), CF ( kr ( α + β ) ; (2.2) e( st + st r( + st i - for the struture (b) in figure 2.3 (with the notation C(C * (): f f 78

5 Ata Poytehnia Hungaria Vo. 2, No., 2005 ( ) uf ( u s std std C ( kr[( α ) + + ( β) ], CP ( kr( α+ β ). (2.3) e( st + st r( + st i Tabe 2. Connetions between 2 DOF ontroer and extended DOF ontroer struture. Fig. 2. F( - F(C( C( Remarks Fig. 2.3-a - C F C( C F ( C( - Fig. 2.3-b - C P C*( C*(+C P ( - α β - - (ref. hanne) (feedbak) PID PID DOF 0 PDL2 DL PI PID 0 PD2L2 P PID-L PID PL2 PDL2 I PID α β PID ontroer with pre-fitering (2 DOF ontroer) f ontroer DOF with nonhomogenous behavior Remarks: P proportiona, D derivative, L ag, I integrator modues. Depending on the vaues of α and β parameters, for the presented boks the behaviors from in Tabe 2. are obtained. The hoie of a ertain representation of the ontroer depends on [3]: - the struture of the avaiabe ontroer; - the adopted agorithmi design method, and the resut of this design. In the presene of an integra (I) omponent and a imitation bok in the ontroer struture, figure 2.4 (a), the use of the AWR measure (Anti-Windup- Reset) is reommended. A assia struture for introduing the AWR measure on a ontroer struture with integra omponent is presented in figure 2.4 (b). The AWR measure an be gobay impemented with respet to ontroer output or oay, with respet to integra (I) omponent of the ontroer. f Figure 2.4 Cassia struture for introduing ARW measure on the ontroer struture The transfer funtions of the ontinuous PI (PID) ontroers are written reated to the design proedure and the impementation (disretization) proedure. For the seria form of PI and PID ontroers the t.f.s are: 79

6 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters k PI: {k, T } C ( ( + st ) (2.4) s k s, PID: {k, T, T } C ( ( + st )( + st ) (2.5) The impementation of a quasi-ontinuousy (QC) operating PID digita ontro agorithm an be based on the informationa diagram presented in figure 2.5; the appearane of a suppementary state variabes x k, is assoiated to integra (I) omponent and the adding of the AWR measure. The parameter vaues {K pid, K i, K d,k arw } depends on the ontinuous parameters {k r, T r, T r } and on the samping time vaue, T e. Figure 2.5 Quasi-ontinuousy operating PID digita ontro agorithm impementation. The impementation of non-homogenous information proessing (Fig. 2.-) has two requirements [3], [4]: - an I or PI behavior with respet to the referene hanne; - a PI or PID behavior with respet to the feedbak hanne. The nonhomogenous information proessing struture respets the foowing informations (Tabe 2.2). Tabe 2.2 Transfer funtions of boks in Fig. 2.- (parae form) Case Channe Bok 3 Bok 4 Bok 5 Type () w, (r) I: (/st i ) ---- P: (k C ) I: (/st i ) y I: (/st i ) P: () P: (k C ) PI: (+/st i ) (2) w, (r) PI: (+/st i ) ---- P: (k C ) PI: (+/st i ) y PI: (+/st i ) D: (st d ) P: (k C ) PID 80

7 Ata Poytehnia Hungaria Vo. 2, No., 2005 In order to avoid diffiuties due to ontraditory resuts obtained from design aording to referene traking and disturbane rejetion, different optima - or in speia ases, optima-ike tuning tehniques an be adopted. Two of these methods are onsidered here to be representative: - the Moduus Optimum method, (MO-m), [], - the Symmetria Optimum method (SO-m) [] and two modified (extended versions, the Extended Symmetria Optimum method (ESO-m) [2] and the extended (modified version) of the extended Symmetria Optimum method (2E-SO-m)Criterion. The main advantage of this ESO-m and 2E-SOm onsist in the possibiity to inrease the ontro system phase reserve and for speifi ases in a better oad disturbane rejetion. The ontroer parameters in its seria form an be auated using the reations synthetised in Tabe 2.3. The design parameter β beongs usuay to the domain 4 β 6. In the ase of impementation, the probem of bump-ess transfer from one oa risp ontroer to another is soved in a risp manner, exempified here for two oa ontroers of digita PI-type, the od one with the parameters {q, q 0 }, and the new one with the parameters {q *, q * 0 }: u. (2.6) * * * k u k + qek + q0ek, u k u k + q ek + q0ek It is neessary to ompute previousy past vaues whih are neessary to the new ontroer. As it an be observed in (6), e k- * represent these new initia onditions (the past vaue. 3 A Cass of Takagi-Sugeno Fuzzy Modes The foowing Takagi-Sugeno fuzzy mode to represent a TISO LTV system wi be used that modes the ontroed pant [7]: s Tabe 2.3 Tuning reations after [2], [6] P( Contr. type Tuning reations 0 2 k p PI k 3/ 2 2 β k T (ESO-m.[2]) p Σ ( + stσ ) {k, T } T β T Σ 8

8 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters k p s( + st )( + stσ ) k P, + st )( + st ) m T Σ /T ( Σ k P ( 2 + st )( + st )( + stσ ) m T Σ /T R : IF z( t) is F AND z 2 ( t) is F2 THEN y( P u ( u( + P v PID {k, T, T } PI {k, T } PID {k, T, T } AND ( v(, K m, kr 3/ 2 2 β k T (ESO-m[2]) p Σ T β T, T T Σ, k 2k T (MO-m) p Σ T T (+m) 2 k, β 3/2 k P T Σ ' m β T Σ ' m (m) (2E-SO-m) T [6] ( + m) 2 m (m)+(2-β /2 )m+m 2 k 2k T (MO-m) p, Σ ' T T T T2 (+m) 2 k, T T 2 β 3/2 k P T Σ ' m β T Σ ' m (m) T [6] ( + m) 2 m (m)+(2-β /2 )m+m 2 K AND z ( t) is n (2E-SO-m) F n (3.) where: u(, v(, y( the Lapae transform of the pant input (the ontro signa) u(t), of the disturbane input v(t) and of the ontroed output y(t); R the th inferene rue, m; m the number of inferene rues; z i (t) the measurabe pant variabes, i n, and: T z t ) [ z ( t) z ( t) z n ( t)] ; (3.2) ( 2 K n the number of measurabe pant (system) variabes pointing out the timevariation of the pant; F the inguisti terms assoiated to the measurabe variabe z i (t) and to the rue R ; P u ( and P v ( the oa t.f.s of the pant. 82

9 Ata Poytehnia Hungaria Vo. 2, No., 2005 The TS fuzzy mode (3.) inudes both the inferene rues as part of the rue base and the oa anayti modes of the TISO LTV system. The ontroed output is inferred by taking the weighted average of a oa modes appearing in (3.), whih haraterizes the properties of the ontroed pant in a oa region of the input spae; so it is referred to as fuzzy dynami oa mode [8], [9]. The foowing notation is introdued: µ ( t) µ ( z ( t)), Km, (3.3) for the membership degrees of the normaized membership funtions µ of the inferred fuzzy set F, where: F n I Fi, Km, (a) and µ ( t ). (b) (3.4) i m By using the produt inferene method in (3.4) (b) and the weighted average method for defuzzifiation, the TS fuzzy mode (3.) an be expressed in terms of the foowing fuzzy dynami goba mode that an be onsidered as TS fuzzy mode of the pant: y( P u P ( u ( u( + P m µ ( t) P (, P u v ( v(, v m µ ( t) P (. v (3.5) The mode (3.5) is LTV system beause the inferred transfer funtions, P u ( and P v (, have time-varying oeffiients regarded to oa inearised modes. 4 Takagi-Sugeno Fuzzy Controers. Cosed-Loop System Modes The TS fuzzy modes (3.) or (3.5) oud be very usefu in omparison with other onventiona tehniques in noninear ontro. This is the ase of pieewise inearization [8], where the pant mode is inearized around a nomina operating point, and there are appied inear ontro tehniques to the ontroer deveopment. This approah divides the input spae into risp subspaes, and the resut is in a non-smooth onnetion of the inear subsystems to buid the osedoop system mode. These modes are based on the division of the input spae into fuzzy subspaes and use inear oa modes in eah subspae. Furthermore, the fuzzy sets F i and the inferene method permit the smooth onnetion of the oa modes to buid the fuzzy dynami goba mode of the osed-oop system. 83

10 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters To ontro the TISO LTV pant (3.5) there is proposed a TS fuzzy ontroer with the foowing mode: R : 2 IF z( t) is F AND z2( t) is F AND K AND THEN u( C ( e(, Km, z ( t) is F n n, (4.) where e( is the Lapae transform of the ontro error e( t) r( t) y( t) ; r(t) is the referene input; C ( the t.f. of the oa ontroers, m. The oa ontroers in (4.) are deveoped for the oa anayti (inear) modes in (3.) by parae distributed ompensation [0]. By the feedbak onnetion of the pant (3.) and of the fuzzy ontroer (4.) in terms of the onventiona ontro struture presented in figure 4., the osed-oop system an be desribed by the foowing fuzzy dynami oa mode: R : IF z( t) is F AND z2 ( t) is F2 AND K AND THEN y( H ( r( + H ( v(, Km, r, v, z ( t) n is F n, (4.2) where H r, ( and H v, ( - the oa t.f.s of the osed-oop system, m. Figure 4. Contro system struture. In the onditions (3.3) (3.5), by aepting the same inferene method and defuzzifiation method as in the previous Setion, the fuzzy dynami goba mode of the osed-oop system an be expressed in terms of (4.3): y( H r r ( r( + H m H ( µ ( t) H ( v(, m, (, H ( µ r v v ( t) H v, (, (4.3) where the inferred t.f.s H r ( and H v ( have time-varying oeffiients. It is justified to onsider the TS fuzzy mode (4.3) as TISO LTV system; for its anaysis there an be appied methods speifi to LTV systems [8] [0] whih require numeria tehniques for the auation of H r ( and H v (. For the deveopment of the fuzzy ontroers it is neessary to perform the stabiity anaysis and testing; a stabiity anaysis test agorithm for the osed-oop system (4.3) are presented in the next Setion. 84

11 Ata Poytehnia Hungaria Vo. 2, No., Stabiity Test Agorithm To perform the stabiity anaysis of the fuzzy ontro systems two approahes an be empoyed: - the first one, based on the use of the fuzzy dynami goba mode (4.3) and, - the seond one an be deveoped by starting with the definition of a pieewise smooth quadrati Lyapunov funtion [0], [] based on the fuzzy dynami oa mode (4.2). In the ase of the system (4.2) there an be used severa approahes based on either transferring the ideas from hybrid systems [0] or by using, sine this system an be onsidered as a variabe struture one with possibe disontinuous right-hand side, stabiity anaysis methods dediated to variabe struture systems []. For the stabiity anaysis and testing of the fuzzy ontro system modeed by the fuzzy dynami goba mode (4.3) it wi be presented as foows the first approah, based on the Lyapunov stabiity theory in terms of the definition of a pieewise smooth quadrati Lyapunov funtion V: m V q V, V x P x, (5.) T where x the state vetor, dim x (, n S ), P positive definite symmetri matries, dim P (n S, n S ), q weighting oeffiients ensuring the smoothness of the funtion V, m, n S system order. The matries P are obtained by ensuring the negative definiteness of the derivative of the Lyapunov funtion. This an be ensured by soving the agebrai Riati equations (5.2): T A P + P A Q, Km, (5.2) with Q positive definite symmetri matries, dim Q (n S, n S ), and A the system matries in the systemi reaizations orresponding to the osed-oop transfer funtions H r, ( and H v, (, dim A (n S, n S ). The stabiity anaysis test agorithm onsists in four steps, detaied in [3]. Resuming: - Step : based on the knowedge and experiene onerning the ontroed pant operation, determine the number of inferene rues m for ontroing the pant, the partition of the input spae in fuzzy regions, assign the inguisti terms F i to the measurabe pant variabes z i (t), i n, and define the membership funtions orresponding to F i, m; 85

12 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters - Step 2: for eah inferene rue R, m, derive the inear oa modes of the pant, haraterized by the transfer funtions P u ( and P v ( ; - Step 3: deveop a onventiona ontroer with the transfer funtion H C. ( for eah of the oa modes of the pant by a inear ontro deveopment tehnique suh that the m osed-oop oa systems, with the transfer funtions H r, ( and H v, (, m, have the required ontro system performane; - Step 4: set the vaues of the positive definite symmetri matries Q and sove the agebrai Riati equations (5.2); if the soutions P of (5.2) prove to be not positive definite, then jump to the step 3; otherwise, the system is stabe. The soving of the agebrai Riati equations (5.2) and the required anaysis requires the argest omputationa effort. 6 Appiation: Winding System Contro Soution A typia appiation for eetria drives with variabe inertia (Variabe Inertia Drive System, VIDS) is in the fied of roing mis and of winding mehanisms. The ontro of suh systems represents a diffiut task due to: - the existene of output ouping between severa subsystems requires the deveopment of ontro systems with referene input ompensation; - the presene of possibe osiations due to the eastiity of the shaft; - the noninearities of the ontroed pant inuding bakash and stik-sip; - the modifiation of the inertia during the pant operation determine timevarying parameters of the ontroed pant. The simpified funtiona diagram and the informationa diagram of an eetria drive with DC motor variabe inertia appearing in appiations where a strip is winded on a drum are shown in Fig. 6.-a and -b [2]. In the winding proess, the referene input must be orreated with the modifiation of work ro radius. In this ontext, two basi aspets our at the deveopment of the ontro struture: the modifiation of the referene input (ω 0 (t)), and tuning the ontroer parameters. For the first one, the ondition (6.) must be fufied by the ontro soution: v(t) onst ω o (t) k/r(t), (6.) where by the measurement of r(t) there an be ensured the ontinuous modifiation of the referene input ω o (t). 86

13 Ata Poytehnia Hungaria Vo. 2, No., 2005 (a) (b) Figure 6. Funtiona diagram of VIDS and referene input orretion system. The probem of ontroing the speed of the winding system an be soved in various ways: by the use of a asade ontro struture with two, urrent and speed, ontroers, or by the use of a state feedbak ontro struture. For both versions, the variane of the moment of inertia, aording to (6.2): J(t) (/2) ρ π R 4 (t), (6.2) requires muh attention in the ontroer design. In this paper wi be presented a soutions based on ontro oops with inear PI and PI-fuzzy ontroers with parameter adaptation. The state-spae mathematia mode of VIDS has the state variabes {x i a, x 2 ω m, x 3 f t }, and a orresponding informationa bok diagram given in figure 6.2 [2]. x (t) (R a /L a )x (t) (k e /L a )x 2 (t)+(k h /L a )u (t), x 2 (t)(k m /J e (t))x (t) (/J e (t))m f (x 2 (t)) (r t (t)/j e (t))x 3 (t)) (/J e (t))(j e (t))r t (t), x 3 (t) b r t (t)x 2 (t) b v s (t). (6.3) Linearizing the modes in some representive funtiona points, mathematia modes (benhmark t.f. in form of (.) and (.2) an be obtained. Conerning the oa inearized pant modes (.), (.2), the speed ontroer design is based on the tuning methods desribed in hapter 2, appied in its various, dediated versions [2], [4], [6]. An atrative tuning version, regarding TS fuzzy modes, TS fuzzy ontroers and TS fuzzy osed-oop system modes (Setions 3 and 4), by aepting that the ontroer parameters ensure a maximum phase reserve for eah oa inearised pant mode and the orresponding TISO LTV systems are handed as in Setions 3-5. It an be onsidered equivaent with a re-tuning of the ontroer parameters as funtion of radius modifiation. This version permits the obtaining of better ontro system performane. 87

14 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters Figure 6.2 Informationa bok diagram of VIDS. The envisaged ontro struture ontains two oops, the inner regarded to the urent and the externa regarded to the speed. The inner oop ontroer is auated based on the Moduus Optimum method with fixed parameter vaues. For the deveopment of the speed ontro oop, in the deveopment step it an be used ony one pant variabe, r t. For obtaining a bump-ess transfer from one oa ontroer to another at the same time with ensuring a reativey simpe impementation, the authors reommend that the membership funtions of the inguisti terms F i shoud have trianguar type and m shoud not exeed 3 or 5. Some detais regarding the deveopment step 3 dediated to the deveopment of the oa ontroers are presented as foows. For the onsidered ontroed pant, after inearization in the viinity of some signifiant operating points the mode an be brought to a simpified form haraterized by the foowing oa transfer funtions: P u k P (, Km, (6.4) s( + st ) Σ where the parameters: - T Σ (the sma time onstant oresponding to the sum of parasiti time onstant is a onstant vaue, and - k P (the ontroed pant gain) is time-varying due to the time-varying J e ; note that for the sake of simpiity the index was omitted. There an be used severa versions of oa transfer funtions ( depending on the types of disturbane inputs v(t) appied to the ontroed pant. For the oa pants (6.4) the use of PI ontroers having the transfer funtions: P v 88

15 Ata Poytehnia Hungaria Vo. 2, No., 2005 k C ( ( + st ), Km, (6.5) s an ensure very good ontro system performane when the ontroers are tuned in terms of the ESO-m [2]; the ontroer parameters are k (the ontroer gain) and T (the integra time onstant) (see tabe 2.3). By the hoie of the parameter β 9 4 the ontro struture ensures a good maximum phase reserve (55 0 <φ r,m < 60 0 ); this phse reserve is hanging during the pant operating. The hoie of suh a vaue ensures good robustnes, so that the stabiity anaysis was not performed (a) (b) () Figure 6.3 Simuation resuts The oa ontro system performane an be improved by adding a first- or seond-order referene fiter [2], [6]. This is the way the ontro struture obtains the features speifi to ontro strutures with 2 DOF ontroers. For to test the method, a theoretia appiation osey onneted to pratie was onsidered. The non-inear Simuink mode of the pant is presented in Appendix. Three PI ontroers were auated and the hange of the ontroers during the pant operating was based on a very simpe fuzzy seetion rue. The probem of bump-ess transfer from one oa risp ontroer to another is soved in a risp manner. 89

16 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters Some simuation resuts are presented in figure 6.3: (a) the hange of the inear speed, v(t); (b) the hange of the radius hanging r(t); () the hange of the anguar speed, ω(t). The resuts an be aepted as good and onfirm the possibiitie of use Takagi- Sugeno fuzzy modes to represent a TISO LTV as modes of the ontroed pant. Conusions The paper presents ontinuous-time deveopment soutions for eetria drives with variabe inertia. The tuning reations are dedued for assia but generay aepted benhmark type pant modes. The presented TS fuzzy modes dediated to TISO LTV systems are suitabe for ontro strutures where the pant mathematia mode inearization offers oa inear modes. A stabiity test agorithm for the fuzzy ontro systems modeed by TS fuzzy modes based on Lyapunov stabiity theory is presented. The main imitation of the stabiity anaysis agorithm onerns its omputationa ompexity. The modes and the stabiity anaysis agorithm an be used in the deveopment of onventiona but aso of TS fuzzy ontroers based on the parae distributed ompensation with severa appiations. One rea-word appiation an be in the area of eetria drives with variabe inertia, where the deveopment of the oa ontroers an be performed in terms of the ESO-m or 2E-SO-m. The simuated appiation is regarded to a VIDS where the referene input must be orreated with the modifiation of working ro radius. Referenes [] Åström, K. J. and T. Häggund: PID Controers Theory: Design and Tuning, Instrument Soiety of Ameria, Researh Triange Park, 995 [2] Preit, St. and R.-E. Preup, An extension of tuning Reations after symmetria optimum method for PI and PID ontroers, Automatia, Esevier Siene, vo. 35, pp , 999 [3] Preit, Zsuzsa, Controer deveopment by agebrai methods. Anaysis and Matab-Simuink programs (in romanian). Master thesis, Poitehnia University of Timişoara, Romania, 2003 [4] Preup, R.-E. and St. Preit, Deveopment of Some Fuzzy Controers with Non-homogenous Dynamis with Respet to the Input Channes Meant for a Cass of Systems, Proeedings of ECCC-999, (e-format) Karsruhe, Germany [5] Preit, St., R.-E. Preup, Zsuzsa Preit, Two Degree of Freedom Fuzzy Controers: Struture and Deveopment, Proeedings of the In 90

17 Ata Poytehnia Hungaria Vo. 2, No., 2005 Memoriam John von Neumann Symposium, Deember, 2003, ISBN , pp , Budapest, Hungary [6] Preit, Zsuzsa, PI and PID Controer Tuning Method for a Cass of Systems, SACCS 2007 th Internationa Symposium on Automati Contro and Computer Siene, Otober 200, Iasi, Romania (e-format) [7] Preit St. and R.-E. Preup, On the Fuzzy Contro of a Cass of Linear Time-Varying Systems, A&QT-R 2004, IEEE-TTC- Conferene on Automation, Quaity and Testing, Robotis, May 3 5, 2004, Cuj- Napoa, Romania [8] Kózy, L. T., Fuzzy If-Then Rue Modes and Their Transformation into One Another. IEEE Trans. on SMC part A, 26, (996) [9] H. O. Wang, K. Tanaka and M. F. Griffin, An Approah to Fuzzy Contro of Noninear Systems: Stabiity and Design Issues, IEEE Transations on Fuzzy Systems, (996), vo. 4, pp [0] M. Johansson and A. Rantzer, Computation of Pieewise Quadrati Lyapunov Funtions for Hybrid Systems, IEEE Transations on Automati Contro, (998), vo. 43, pp [] M. Johansson, A. Rantzer and K. -E. Arzen, Pieewise Quadrati Stabiity of Fuzzy Systems, IEEE Transations on Fuzzy Systems, (999), vo. 7, pp [2] St. Preit and R.-E. Preup. PI ontroer design for speed ontro of DC drives with variabe moment of inertia. Bu.St. U.P.T., Trans. AC&CS. Timisoara, Vo. 42(56), pp [3] St. Preit, R.-E. Preup, On the Fuzzy Contro of a Cass of Linear Time- Varying Systems, AQTR 2004 (THETA 4), IEEE-TTTC- Conferene on Automation, Quaity and Testing, Robotis May, 2004, Cuj-Napoa, Romania 9

18 S. Preit et a. Deveopment of Conventiona and Fuzzy Controers and Takagi-Sugeno Fuzzy Modes Dediated for Contro of Low Order Benhmarks with Time Variabe Parameters Appendix. The non-inear Simuink mode of the pant Ua Ua U -K - Kee Sum ia La.s Integra ia -K - Ra -K - Sope Jsist(t) Jpart Jtgo+Jtransf+Jm r(t) * r(t) * w (t) Jinfas(t) Sum 4 -K - r(t) Gain Produt3 Ke Ke -K - Ke Km s Produt4 Integra w om ega ( w(t) ) w(t) Sope w om ega ( w(t) ) Sum To W orkspae om ega ( w(t) ) Vs V_iniar C C s Sum 2 Integra fh a a a*fh(t) r(t) Prod Sope3 Sope2 t -K - C*a r(t) * w (t) -K - Gain r(t) r(t) * w (t) r(t) * r(t) * w (t) r(t) Produt5 Produt2 Prod w(t) r(t) Sum 3 r0 r0 -K - s a*h/(2*pi) Integra w Cok To W orkspae 92

FOR many years the authors of this paper have worked on

FOR many years the authors of this paper have worked on The Fast Parametri Integra Equations System for Poygona D Potentia Probems Andrzej Kużeewski and Eugeniusz Zieniuk Abstrat Appiation of tehniques for modeing of boundary vaue probems impies three onfiting

More information

Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes

Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes Journa of Universa Computer Siene, vo. 3, no. 9 (27), 332-343 submitted: 2/6/6, aepted: 24//6, appeared: 28/9/7 J.UCS Geneti Agorithm Based Reurrent Fuzzy Neura Network odeing of Chemia Proesses Jii Tao,

More information

MINIMIZATION OF FREQUENCY-WEIGHTED l 2 -SENSITIVITY FOR MULTI-INPUT/MULTI-OUTPUT LINEAR SYSTEMS

MINIMIZATION OF FREQUENCY-WEIGHTED l 2 -SENSITIVITY FOR MULTI-INPUT/MULTI-OUTPUT LINEAR SYSTEMS Automatique et ordinateurs MINIMIZAION OF FREQUENCY-WEIGHED -SENSIIVIY FOR MULI-INPU/MULI-OUPU LINEAR SYSEMS AKAO HINAMOO, OSAMU ANAKA, AKIMISU DOI Key words: MIMO inear disrete-time systems, Frequeny-weighted

More information

Control Theory association of mathematics and engineering

Control Theory association of mathematics and engineering Control Theory assoiation of mathematis and engineering Wojieh Mitkowski Krzysztof Oprzedkiewiz Department of Automatis AGH Univ. of Siene & Tehnology, Craow, Poland, Abstrat In this paper a methodology

More information

Research Article Some Applications of Second-Order Differential Subordination on a Class of Analytic Functions Defined by Komatu Integral Operator

Research Article Some Applications of Second-Order Differential Subordination on a Class of Analytic Functions Defined by Komatu Integral Operator ISRN Mathematia Anaysis, Artie ID 66235, 5 pages http://dx.doi.org/1.1155/214/66235 Researh Artie Some Appiations of Seond-Order Differentia Subordination on a Cass of Anayti Funtions Defined by Komatu

More information

Moment - Axial Force Interaction Report and Program

Moment - Axial Force Interaction Report and Program oment - Aia Fore Interation Report and rogram ehdi Vojoudi Vojoudi@vojoudi.om THINK GLOBAL, ACT LOCAL Spring 3 Strutura Stabiity rojet. Sope Cauate the moment aia fore interation urve for a hinged oumn

More information

Using the Green s Function to find the Solution to the Wave. Equation:

Using the Green s Function to find the Solution to the Wave. Equation: Using the Green s Funtion to find the Soution to the Wave Exampe 1: 2 1 2 2 t 2 Equation: r,t q 0 e it r aẑ r aẑ r,t r 1 r ; r r,t r 1 r 2 The Green s funtion soution is given by r,t G R r r,t t Fr,t d

More information

Strong Tracking Unscented Kalman Filtering Algorithm Based-on Satellite Attitude Determination System

Strong Tracking Unscented Kalman Filtering Algorithm Based-on Satellite Attitude Determination System Internationa Journa of Future Generation Communiation and Networing Vo.7, No.3 (, pp.55-66 http://dx.doi.org/.57/ijfgn..7.3. Strong raing Unsented Kaman Fitering Agorithm Based-on Sateite Attitude Determination

More information

An Integrated Architecture of Adaptive Neural Network Control for Dynamic Systems

An Integrated Architecture of Adaptive Neural Network Control for Dynamic Systems An Integrated Arhiteture of Adaptive Neural Network Control for Dynami Systems Robert L. Tokar 2 Brian D.MVey2 'Center for Nonlinear Studies, 2Applied Theoretial Physis Division Los Alamos National Laboratory,

More information

Batch Process Monitoring Using Two-Dimensional Hidden Semi-Markov Models

Batch Process Monitoring Using Two-Dimensional Hidden Semi-Markov Models Bath Proess Monitoring Using wo-imensiona Hidden Semi-Marov Modes J. Chen, Member, IAENG and Y.-C. Jiang Abstrat In this paper, a nove monitoring method for the repetitive bath operation with two-dimensiona

More information

ABSOLUTELY CONTINUOUS FUNCTIONS OF TWO VARIABLES IN THE SENSE OF CARATHÉODORY

ABSOLUTELY CONTINUOUS FUNCTIONS OF TWO VARIABLES IN THE SENSE OF CARATHÉODORY Eetroni Journa of Differentia Equations, Vo. 2010(2010), No. 154, pp. 1 11. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu ABSOLUTELY CONTINUOUS

More information

Sensitivity Analysis in Markov Networks

Sensitivity Analysis in Markov Networks Sensitivity Analysis in Markov Networks Hei Chan and Adnan Darwihe Computer Siene Department University of California, Los Angeles Los Angeles, CA 90095 {hei,darwihe}@s.ula.edu Abstrat This paper explores

More information

A NONLILEAR CONTROLLER FOR SHIP AUTOPILOTS

A NONLILEAR CONTROLLER FOR SHIP AUTOPILOTS Vietnam Journal of Mehanis, VAST, Vol. 4, No. (), pp. A NONLILEAR CONTROLLER FOR SHIP AUTOPILOTS Le Thanh Tung Hanoi University of Siene and Tehnology, Vietnam Abstrat. Conventional ship autopilots are

More information

Parametric and sensitivity analysis of a vibratory automobile model

Parametric and sensitivity analysis of a vibratory automobile model Louisiana State University LSU Digita Commons LSU Master's Theses Graduate Shoo Parametri and sensitivity anaysis of a vibratory automobie mode Kania Nioe Vesse Louisiana State University and Agriutura

More information

The Square of the Dirichlet-to-Neumann map equals minus Laplacian

The Square of the Dirichlet-to-Neumann map equals minus Laplacian The Square of the Dirihet-to-Neumann map equas minus Lapaian D V Ingerman Abstrat. The Dirihet-to-Neumann maps onnet boundary vaues of harmoni funtions. It is an amazing fat that the square of the non-oa

More information

New Algorithms for Nonlinear Generalized Disjunctive Programming

New Algorithms for Nonlinear Generalized Disjunctive Programming ew Agorithms for oninear Generaized Disuntive Programming Sangbum Lee and Ignaio E. Grossmann * Department of Chemia Engineering Carnegie Meon University Pittsburgh PA U.S.A. Otober 999 / Marh * To whom

More information

Analytic Model for Area-Constrained Optimal Repeater Insertion

Analytic Model for Area-Constrained Optimal Repeater Insertion Anayti Mode for Area-Constrained Optima Repeater Insertion G.S. Garea, N.P. van der Meijs and R.H.J.M Otten* Eetria Engineering / CAS Deft University of Tehnoogy Deft, The Netherands *Eindhoven University

More information

The research of Q-ary LDPC codes in the navigation system

The research of Q-ary LDPC codes in the navigation system 3rd Internationa Conferene on Mehatronis and Information Tehnoogy (ICMIT 26) The researh of Q-ary LDPC odes in the naigation system Xu Yi, Daoxing Guo2 and Wei You3 Coege of Communiations Engineering,

More information

Available online at ScienceDirect. Energy Procedia 76 (2015 ) European Geosciences Union General Assembly 2015, EGU

Available online at  ScienceDirect. Energy Procedia 76 (2015 ) European Geosciences Union General Assembly 2015, EGU Avaiabe onine at www.sienediret.om SieneDiret Energy Proedia 76 (05 ) 406 4 European Geosienes Union Genera Assemby 05, EGU Division Energy, Resoures & Environment, ERE Appiation of stoasti metods to doube

More information

Constructing Gyro-free Inertial Measurement Unit from Dual Accelerometers for Gesture Detection

Constructing Gyro-free Inertial Measurement Unit from Dual Accelerometers for Gesture Detection Sensors & ransduers Vo. 7 Issue 5 May 04 pp. 34-40 Sensors & ransduers 04 by IFSA Pubishing S. L. http://www.sensorsporta.om Construting Gyro-free Inertia Measurement Unit from Dua Aeerometers for Gesture

More information

Time-varying Stiffness Characteristics of Shaft with Slant Crack

Time-varying Stiffness Characteristics of Shaft with Slant Crack Internationa Conferene on Modeing, Simuation and Appied Mathematis (MSAM 05) Time-varying Stiffness Charateristis of Shaft with Sant Cra Hengheng Xia Shoo of Aeronautia Manufaturing Engineering Nanhang

More information

Value-aware Resource Allocation for Service Guarantees in Networks

Value-aware Resource Allocation for Service Guarantees in Networks Vaue-aware Resoure Aoation for Servie Guarantees in Networks Parima Parag, Srinivas Shakkottai and Jean-François Chamberand Department of Eetria and Computer Engineering Texas A&M University, Coege Station,

More information

Nonreversibility of Multiple Unicast Networks

Nonreversibility of Multiple Unicast Networks Nonreversibility of Multiple Uniast Networks Randall Dougherty and Kenneth Zeger September 27, 2005 Abstrat We prove that for any finite direted ayli network, there exists a orresponding multiple uniast

More information

HILLE-KNESER TYPE CRITERIA FOR SECOND-ORDER DYNAMIC EQUATIONS ON TIME SCALES

HILLE-KNESER TYPE CRITERIA FOR SECOND-ORDER DYNAMIC EQUATIONS ON TIME SCALES HILLE-KNESER TYPE CRITERIA FOR SECOND-ORDER DYNAMIC EQUATIONS ON TIME SCALES L ERBE, A PETERSON AND S H SAKER Abstrat In this paper, we onsider the pair of seond-order dynami equations rt)x ) ) + pt)x

More information

Scalable Positivity Preserving Model Reduction Using Linear Energy Functions

Scalable Positivity Preserving Model Reduction Using Linear Energy Functions Salable Positivity Preserving Model Redution Using Linear Energy Funtions Sootla, Aivar; Rantzer, Anders Published in: IEEE 51st Annual Conferene on Deision and Control (CDC), 2012 DOI: 10.1109/CDC.2012.6427032

More information

Sparse Structured Associative Memories as Efficient Set-Membership Data Structures

Sparse Structured Associative Memories as Efficient Set-Membership Data Structures Sparse Strutured Assoiative Memories as Effiient Set-Membership Data Strutures Vinent Gripon Eetronis Department Tééom Bretagne, Brest, Frane vinent.gripon@ens-ahan.org Vitay Skahek Institute of Computer

More information

Steepest Descent Adaptation of Min-Max Fuzzy If-Then Rules 1

Steepest Descent Adaptation of Min-Max Fuzzy If-Then Rules 1 Steepest Descent Adaptation of Min-Max Fuzzy If-Then Rues 1 R.J. Marks II, S. Oh, P. Arabshahi Λ, T.P. Caude, J.J. Choi, B.G. Song Λ Λ Dept. of Eectrica Engineering Boeing Computer Services University

More information

Complexity of Regularization RBF Networks

Complexity of Regularization RBF Networks Complexity of Regularization RBF Networks Mark A Kon Department of Mathematis and Statistis Boston University Boston, MA 02215 mkon@buedu Leszek Plaskota Institute of Applied Mathematis University of Warsaw

More information

Optimization of Statistical Decisions for Age Replacement Problems via a New Pivotal Quantity Averaging Approach

Optimization of Statistical Decisions for Age Replacement Problems via a New Pivotal Quantity Averaging Approach Amerian Journal of heoretial and Applied tatistis 6; 5(-): -8 Published online January 7, 6 (http://www.sienepublishinggroup.om/j/ajtas) doi:.648/j.ajtas.s.65.4 IN: 36-8999 (Print); IN: 36-96 (Online)

More information

Robust Flight Control Design for a Turn Coordination System with Parameter Uncertainties

Robust Flight Control Design for a Turn Coordination System with Parameter Uncertainties Amerian Journal of Applied Sienes 4 (7): 496-501, 007 ISSN 1546-939 007 Siene Publiations Robust Flight ontrol Design for a urn oordination System with Parameter Unertainties 1 Ari Legowo and Hiroshi Okubo

More information

Alphanumeric Character Recognition

Alphanumeric Character Recognition Amerian Journa of Signa Proessing. 0; (): 34-39 DOI: 0. 593/j.ajsp.000.06 Training Tangent Simiarities with N-SVM for Aphanumeri Charater Reognition Hassiba Nemmour *, Youef Chibani Signa Proessing Laboratory,

More information

Research Article MPPT Algorithm for Photovoltaic Panel Based on Augmented Takagi-Sugeno Fuzzy Model

Research Article MPPT Algorithm for Photovoltaic Panel Based on Augmented Takagi-Sugeno Fuzzy Model SRN Renewable Energy, Artile D 253146, 1 pages http://dx.doi.org/1.1155/214/253146 Researh Artile MPPT Algorithm for Photovoltai Panel Based on Augmented Takagi-Sugeno Fuzzy Model Hafedh Abid, Ahmed Toumi,

More information

MODELING OF THE NON-AZEOTROPIC MIXTURE CONDENSATION ON A VERTICAL ISOTHERMAL PLATE

MODELING OF THE NON-AZEOTROPIC MIXTURE CONDENSATION ON A VERTICAL ISOTHERMAL PLATE Proeedings of the Asian Conferene on Therma Sienes 07, st ACTS Marh 6-30, 07, Jeju Isand, Korea ACTS-P00605 MODELING OF THE NON-AZEOTROPIC MIXTURE CONDENSATION ON A VERTICAL ISOTHERMAL PLATE Li-i Zhang,

More information

arxiv: v2 [cond-mat.dis-nn] 29 Mar 2017

arxiv: v2 [cond-mat.dis-nn] 29 Mar 2017 arxiv:69.8375v [ond-mat.dis-nn] 9 Mar 7 The distribution of first hitting times of non-baktraking random waks on Erdős-Rényi networks Ido Tishby, Ofer Biham and Eytan Katzav Raah Institute of Physis, The

More information

Millennium Relativity Acceleration Composition. The Relativistic Relationship between Acceleration and Uniform Motion

Millennium Relativity Acceleration Composition. The Relativistic Relationship between Acceleration and Uniform Motion Millennium Relativity Aeleration Composition he Relativisti Relationship between Aeleration and niform Motion Copyright 003 Joseph A. Rybzyk Abstrat he relativisti priniples developed throughout the six

More information

DISTRIBUTION OF TEMPERATURE IN A SPATIALLY ONE- DIMENSIONAL OBJECT AS A RESULT OF THE ACTIVE POINT SOURCE

DISTRIBUTION OF TEMPERATURE IN A SPATIALLY ONE- DIMENSIONAL OBJECT AS A RESULT OF THE ACTIVE POINT SOURCE DISTRIBUTION OF TEMPERATURE IN A SPATIALLY ONE- DIMENSIONAL OBJECT AS A RESULT OF THE ACTIVE POINT SOURCE Yury Iyushin and Anton Mokeev Saint-Petersburg Mining University, Vasiievsky Isand, 1 st ine, Saint-Petersburg,

More information

RELAXED STABILIZATION CONDITIONS FOR SWITCHING T-S FUZZY SYSTEMS WITH PRACTICAL CONSTRAINTS. Received January 2011; revised July 2011

RELAXED STABILIZATION CONDITIONS FOR SWITCHING T-S FUZZY SYSTEMS WITH PRACTICAL CONSTRAINTS. Received January 2011; revised July 2011 International Journal of Innovative Computing, Information and Control ICIC International 2012 ISSN 139-198 Volume 8, Number 6, June 2012 pp. 133 15 RELAXED STABILIZATION CONDITIONS FOR SWITCHING T-S FUZZY

More information

Sensitivity analysis for linear optimization problem with fuzzy data in the objective function

Sensitivity analysis for linear optimization problem with fuzzy data in the objective function Sensitivity analysis for linear optimization problem with fuzzy data in the objetive funtion Stephan Dempe, Tatiana Starostina May 5, 2004 Abstrat Linear programming problems with fuzzy oeffiients in the

More information

A model for measurement of the states in a coupled-dot qubit

A model for measurement of the states in a coupled-dot qubit A model for measurement of the states in a oupled-dot qubit H B Sun and H M Wiseman Centre for Quantum Computer Tehnology Centre for Quantum Dynamis Griffith University Brisbane 4 QLD Australia E-mail:

More information

Conformal Mapping among Orthogonal, Symmetric, and Skew-Symmetric Matrices

Conformal Mapping among Orthogonal, Symmetric, and Skew-Symmetric Matrices AAS 03-190 Conformal Mapping among Orthogonal, Symmetri, and Skew-Symmetri Matries Daniele Mortari Department of Aerospae Engineering, Texas A&M University, College Station, TX 77843-3141 Abstrat This

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION DOI: 10.1038/NPHOTON.013.10 Suppementary Information: Quantum teeportation using a ight emitting diode J. Nisson 1, R. M. Stevenson 1*, K. H. A. Chan 1,, J. Skiba-Szymanska 1, M. Luamarini 1, M. B. Ward

More information

Stabilization of the Precision Positioning Stage Working in the Vacuum Environment by Using the Disturbance Observer

Stabilization of the Precision Positioning Stage Working in the Vacuum Environment by Using the Disturbance Observer Proeedings of the 4th IIAE International Conferene on Industrial Appliation Engineering 216 Stabilization of the Preision Positioning Stage Working in the Vauum Environment by Using the Disturbane Observer

More information

FREQUENCY DOMAIN FEEDFORWARD COMPENSATION. F.J. Pérez Castelo and R. Ferreiro Garcia

FREQUENCY DOMAIN FEEDFORWARD COMPENSATION. F.J. Pérez Castelo and R. Ferreiro Garcia FREQUENCY DOMAIN FEEDFORWARD COMPENSATION F.J. Pérez Castelo and R. Ferreiro Garia Dept. Ingeniería Industrial. Universidad de La Coruña javierp@ud.es, Phone: 98 7.Fax: -98-7 ferreiro@ud.es, Phone: 98

More information

Adaptive Fuzzy Sliding Control for a Three-Link Passive Robotic Manipulator

Adaptive Fuzzy Sliding Control for a Three-Link Passive Robotic Manipulator Adaptive Fuzzy Siding Contro for a hree-link Passive Robotic anipuator Abstract An adaptive fuzzy siding contro (AFSC scheme is proposed to contro a passive robotic manipuator. he motivation for the design

More information

Speed Regulation of a Small BLDC Motor using Genetic-Based Proportional Control

Speed Regulation of a Small BLDC Motor using Genetic-Based Proportional Control World Aademy of Siene, Engineering and Tehnology 47 8 Speed Regulation of a Small BLDC Motor using Geneti-Based Proportional Control S. Poonsawat, and T. Kulworawanihpong Abstrat This paper presents the

More information

SE-514 (OPTIMAL CONTROL) OPTIMAL CONTROL FOR SINGLE AND DOUBLE INVERTED PENDULUM. DONE BY: Fatai Olalekan ( Ayman Abdallah (973610)

SE-514 (OPTIMAL CONTROL) OPTIMAL CONTROL FOR SINGLE AND DOUBLE INVERTED PENDULUM. DONE BY: Fatai Olalekan ( Ayman Abdallah (973610) SE-54 (OPTIAL CONTROL OPTIAL CONTROL FOR SINGLE AND DOUBLE INVERTED PENDULU DONE BY: Fatai Oaekan (363 Ayman Abdaah (9736 PREPARED FOR: Dr. Sami E-Ferik Tabe of contents Abstract... 3 Introduction... 3

More information

Sufficient Conditions for a Flexible Manufacturing System to be Deadlocked

Sufficient Conditions for a Flexible Manufacturing System to be Deadlocked Paper 0, INT 0 Suffiient Conditions for a Flexile Manufaturing System to e Deadloked Paul E Deering, PhD Department of Engineering Tehnology and Management Ohio University deering@ohioedu Astrat In reent

More information

Bäcklund Transformations: Some Old and New Perspectives

Bäcklund Transformations: Some Old and New Perspectives Bäklund Transformations: Some Old and New Perspetives C. J. Papahristou *, A. N. Magoulas ** * Department of Physial Sienes, Helleni Naval Aademy, Piraeus 18539, Greee E-mail: papahristou@snd.edu.gr **

More information

Hankel Optimal Model Order Reduction 1

Hankel Optimal Model Order Reduction 1 Massahusetts Institute of Tehnology Department of Eletrial Engineering and Computer Siene 6.245: MULTIVARIABLE CONTROL SYSTEMS by A. Megretski Hankel Optimal Model Order Redution 1 This leture overs both

More information

Aircraft CAS Design with Input Saturation Using Dynamic Model Inversion

Aircraft CAS Design with Input Saturation Using Dynamic Model Inversion International Journal of Control, Automation, and Systems Vol., No. 3, September 003 35 Airraft CAS Design with Input Saturation sing Dynami Model Inversion Sangsoo Lim and Byoung Soo Kim Abstrat: This

More information

BER Performance Comparison of Overlap FDE and Sliding-window Time-domain Equalization for Single-carrier Transmission

BER Performance Comparison of Overlap FDE and Sliding-window Time-domain Equalization for Single-carrier Transmission BER Performane Comparison of Overap FDE and Siding-window ime-domain Equaization for Singe-arrier ransmission atsunori OBARA Kazuki AKEDA and Fumiyuki ADACI Dept. of Eetria and Communiation Engineering,

More information

Supplementary Materials

Supplementary Materials Supplementary Materials Neural population partitioning and a onurrent brain-mahine interfae for sequential motor funtion Maryam M. Shanehi, Rollin C. Hu, Marissa Powers, Gregory W. Wornell, Emery N. Brown

More information

Field dependence of magnetic susceptibility of crystals under conditions of degeneracy of their electron energy bands

Field dependence of magnetic susceptibility of crystals under conditions of degeneracy of their electron energy bands Engish transation of our paper pubished in Fiz. Nizk. Temp. This transation orrets that made in Low Temp. Phys., 58-59 (1996). Fied dependene of magneti suseptibiity of rystas under onditions of degeneray

More information

SINCE Zadeh s compositional rule of fuzzy inference

SINCE Zadeh s compositional rule of fuzzy inference IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 14, NO. 6, DECEMBER 2006 709 Error Estimation of Perturbations Under CRI Guosheng Cheng Yuxi Fu Abstrat The analysis of stability robustness of fuzzy reasoning

More information

Comparison of Alternative Equivalent Circuits of Induction Motor with Real Machine Data

Comparison of Alternative Equivalent Circuits of Induction Motor with Real Machine Data Comparison of Alternative Equivalent Ciruits of Indution Motor with Real Mahine Data J. radna, J. auer, S. Fligl and V. Hlinovsky Abstrat The algorithms based on separated ontrol of the motor flux and

More information

13.Prandtl-Meyer Expansion Flow

13.Prandtl-Meyer Expansion Flow 3.Prandtl-eyer Expansion Flow This hapter will treat flow over a expansive orner, i.e., one that turns the flow outward. But before we onsider expansion flow, we will return to onsider the details of the

More information

A Brief Introduction to Markov Chains and Hidden Markov Models

A Brief Introduction to Markov Chains and Hidden Markov Models A Brief Introduction to Markov Chains and Hidden Markov Modes Aen B MacKenzie Notes for December 1, 3, &8, 2015 Discrete-Time Markov Chains You may reca that when we first introduced random processes,

More information

Speed-feedback Direct-drive Control of a Low-speed Transverse Flux-type Motor with Large Number of Poles for Ship Propulsion

Speed-feedback Direct-drive Control of a Low-speed Transverse Flux-type Motor with Large Number of Poles for Ship Propulsion Speed-feedbak Diret-drive Control of a Low-speed Transverse Flux-type Motor with Large Number of Poles for Ship Propulsion Y. Yamamoto, T. Nakamura 2, Y. Takada, T. Koseki, Y. Aoyama 3, and Y. Iwaji 3

More information

Neuro-Fuzzy Modeling of Heat Recovery Steam Generator

Neuro-Fuzzy Modeling of Heat Recovery Steam Generator International Journal of Mahine Learning and Computing, Vol. 2, No. 5, Otober 202 Neuro-Fuzzy Modeling of Heat Reovery Steam Generator A. Ghaffari, A. Chaibakhsh, and S. Shahhoseini represented in a network

More information

Danielle Maddix AA238 Final Project December 9, 2016

Danielle Maddix AA238 Final Project December 9, 2016 Struture and Parameter Learning in Bayesian Networks with Appliations to Prediting Breast Caner Tumor Malignany in a Lower Dimension Feature Spae Danielle Maddix AA238 Final Projet Deember 9, 2016 Abstrat

More information

DIGITAL FILTER DESIGN OF IIR FILTERS USING REAL VALUED GENETIC ALGORITHM

DIGITAL FILTER DESIGN OF IIR FILTERS USING REAL VALUED GENETIC ALGORITHM DIGITAL FILTER DESIGN OF IIR FILTERS USING REAL VALUED GENETIC ALGORITHM MIKAEL NILSSON, MATTIAS DAHL AND INGVAR CLAESSON Bekinge Institute of Technoogy Department of Teecommunications and Signa Processing

More information

Array Design for Superresolution Direction-Finding Algorithms

Array Design for Superresolution Direction-Finding Algorithms Array Design for Superresolution Diretion-Finding Algorithms Naushad Hussein Dowlut BEng, ACGI, AMIEE Athanassios Manikas PhD, DIC, AMIEE, MIEEE Department of Eletrial Eletroni Engineering Imperial College

More information

Passivity and Stability of Switched Systems Under Quantization

Passivity and Stability of Switched Systems Under Quantization Passivity and Stability of Swithed Systems Under Quantization Feng Zhu Department of Eletrial Engineering University of Notre Dame Notre Dame, IN, 46556 fzhu1@nd.edu Han Yu Department of Eletrial Engineering

More information

Discrete Bessel functions and partial difference equations

Discrete Bessel functions and partial difference equations Disrete Bessel funtions and partial differene equations Antonín Slavík Charles University, Faulty of Mathematis and Physis, Sokolovská 83, 186 75 Praha 8, Czeh Republi E-mail: slavik@karlin.mff.uni.z Abstrat

More information

Symbolic models for nonlinear control systems using approximate bisimulation

Symbolic models for nonlinear control systems using approximate bisimulation Symboic modes for noninear contro systems using approximate bisimuation Giordano Poa, Antoine Girard and Pauo Tabuada Abstract Contro systems are usuay modeed by differentia equations describing how physica

More information

STABILITY OF A PARAMETRICALLY EXCITED DAMPED INVERTED PENDULUM 1. INTRODUCTION

STABILITY OF A PARAMETRICALLY EXCITED DAMPED INVERTED PENDULUM 1. INTRODUCTION Journa of Sound and Vibration (996) 98(5), 643 65 STABILITY OF A PARAMETRICALLY EXCITED DAMPED INVERTED PENDULUM G. ERDOS AND T. SINGH Department of Mechanica and Aerospace Engineering, SUNY at Buffao,

More information

Critical Reflections on the Hafele and Keating Experiment

Critical Reflections on the Hafele and Keating Experiment Critial Refletions on the Hafele and Keating Experiment W.Nawrot In 1971 Hafele and Keating performed their famous experiment whih onfirmed the time dilation predited by SRT by use of marosopi loks. As

More information

Development of Fuzzy Extreme Value Theory. Populations

Development of Fuzzy Extreme Value Theory. Populations Applied Mathematial Sienes, Vol. 6, 0, no. 7, 58 5834 Development of Fuzzy Extreme Value Theory Control Charts Using α -uts for Sewed Populations Rungsarit Intaramo Department of Mathematis, Faulty of

More information

Lyapunov Exponents of Second Order Linear Systems

Lyapunov Exponents of Second Order Linear Systems Reent Researhes in Computational Intelligene and Information Seurity Lyapunov Exponents of Seond Order Linear Systems ADAM CZORNIK and ALEKSANDER NAWRAT Department of Automati Control Silesian Tehnial

More information

Chapter 8 Hypothesis Testing

Chapter 8 Hypothesis Testing Leture 5 for BST 63: Statistial Theory II Kui Zhang, Spring Chapter 8 Hypothesis Testing Setion 8 Introdution Definition 8 A hypothesis is a statement about a population parameter Definition 8 The two

More information

The Effectiveness of the Linear Hull Effect

The Effectiveness of the Linear Hull Effect The Effetiveness of the Linear Hull Effet S. Murphy Tehnial Report RHUL MA 009 9 6 Otober 009 Department of Mathematis Royal Holloway, University of London Egham, Surrey TW0 0EX, England http://www.rhul.a.uk/mathematis/tehreports

More information

Combined Electric and Magnetic Dipoles for Mesoband Radiation, Part 2

Combined Electric and Magnetic Dipoles for Mesoband Radiation, Part 2 Sensor and Simulation Notes Note 53 3 May 8 Combined Eletri and Magneti Dipoles for Mesoband Radiation, Part Carl E. Baum University of New Mexio Department of Eletrial and Computer Engineering Albuquerque

More information

University of Groningen

University of Groningen University of Groningen Port Hamiltonian Formulation of Infinite Dimensional Systems II. Boundary Control by Interonnetion Mahelli, Alessandro; van der Shaft, Abraham; Melhiorri, Claudio Published in:

More information

LOGISTIC REGRESSION IN DEPRESSION CLASSIFICATION

LOGISTIC REGRESSION IN DEPRESSION CLASSIFICATION LOGISIC REGRESSIO I DEPRESSIO CLASSIFICAIO J. Kual,. V. ran, M. Bareš KSE, FJFI, CVU v Praze PCP, CS, 3LF UK v Praze Abstrat Well nown logisti regression and the other binary response models an be used

More information

Statistical Mechanics Basis of Macleod s Formula

Statistical Mechanics Basis of Macleod s Formula Preprint Journa of Physia ChemistryB Voume 94, Issue 2, pp.8362-8364, 99 DOI:.2/j384a68 Print ISSN: 22-3654 Eetroni ISSN: 54-574 Mohammed-E. BOUDH-HIR and G.Ai MANSOORI Uniersity of Iinois at Chiago (M/C

More information

Worst Case Analysis of the Analog Circuits

Worst Case Analysis of the Analog Circuits Proceedings of the 11th WSEAS Internationa Conference on CIRCUITS, Agios Nikoaos, Crete Isand, Greece, Juy 3-5, 7 9 Worst Case Anaysis of the Anaog Circuits ELENA NICULESCU*, DORINA-MIOARA PURCARU* and

More information

Introduction to Simulation - Lecture 13. Convergence of Multistep Methods. Jacob White. Thanks to Deepak Ramaswamy, Michal Rewienski, and Karen Veroy

Introduction to Simulation - Lecture 13. Convergence of Multistep Methods. Jacob White. Thanks to Deepak Ramaswamy, Michal Rewienski, and Karen Veroy Introduction to Simuation - Lecture 13 Convergence of Mutistep Methods Jacob White Thans to Deepa Ramaswamy, Micha Rewiensi, and Karen Veroy Outine Sma Timestep issues for Mutistep Methods Loca truncation

More information

The Second Postulate of Euclid and the Hyperbolic Geometry

The Second Postulate of Euclid and the Hyperbolic Geometry 1 The Seond Postulate of Eulid and the Hyperboli Geometry Yuriy N. Zayko Department of Applied Informatis, Faulty of Publi Administration, Russian Presidential Aademy of National Eonomy and Publi Administration,

More information

Formal Specification for Transportation Cyber Physical Systems

Formal Specification for Transportation Cyber Physical Systems Formal Speifiation for Transportation Cyber Physial Systems ihen Zhang, Jifeng He and Wensheng Yu Shanghai Key aboratory of Trustworthy Computing East China Normal University Shanghai 200062, China Zhanglihen1962@163.om

More information

Adaptive neuro-fuzzy inference system-based controllers for smart material actuator modelling

Adaptive neuro-fuzzy inference system-based controllers for smart material actuator modelling Adaptive neuro-fuzzy inferene system-based ontrollers for smart material atuator modelling T L Grigorie and R M Botez Éole de Tehnologie Supérieure, Montréal, Quebe, Canada The manusript was reeived on

More information

Nonlinear Analysis of Spatial Trusses

Nonlinear Analysis of Spatial Trusses Noninear Anaysis of Spatia Trusses João Barrigó October 14 Abstract The present work addresses the noninear behavior of space trusses A formuation for geometrica noninear anaysis is presented, which incudes

More information

Source identification from image-type measurement data for atmospheric chemistry models

Source identification from image-type measurement data for atmospheric chemistry models Soure identifiation from image-type measurement data for atmospheri hemistry modes A.V. Penenko, Z.S. Mukatova, A.A. Bem Institute of Computationa Mathematis and Mathematia Geophysis SB RAS ovosibirsk

More information

Assessing the Performance of a BCI: A Task-Oriented Approach

Assessing the Performance of a BCI: A Task-Oriented Approach Assessing the Performane of a BCI: A Task-Oriented Approah B. Dal Seno, L. Mainardi 2, M. Matteui Department of Eletronis and Information, IIT-Unit, Politenio di Milano, Italy 2 Department of Bioengineering,

More information

Remark 4.1 Unlike Lyapunov theorems, LaSalle s theorem does not require the function V ( x ) to be positive definite.

Remark 4.1 Unlike Lyapunov theorems, LaSalle s theorem does not require the function V ( x ) to be positive definite. Leture Remark 4.1 Unlike Lyapunov theorems, LaSalle s theorem does not require the funtion V ( x ) to be positive definite. ost often, our interest will be to show that x( t) as t. For that we will need

More information

Where as discussed previously we interpret solutions to this partial differential equation in the weak sense: b

Where as discussed previously we interpret solutions to this partial differential equation in the weak sense: b Consider the pure initial value problem for a homogeneous system of onservation laws with no soure terms in one spae dimension: Where as disussed previously we interpret solutions to this partial differential

More information

Four-dimensional equation of motion for viscous compressible substance with regard to the acceleration field, pressure field and dissipation field

Four-dimensional equation of motion for viscous compressible substance with regard to the acceleration field, pressure field and dissipation field Four-dimensional equation of motion for visous ompressible substane with regard to the aeleration field, pressure field and dissipation field Sergey G. Fedosin PO box 6488, Sviazeva str. -79, Perm, Russia

More information

Model-based mixture discriminant analysis an experimental study

Model-based mixture discriminant analysis an experimental study Model-based mixture disriminant analysis an experimental study Zohar Halbe and Mayer Aladjem Department of Eletrial and Computer Engineering, Ben-Gurion University of the Negev P.O.Box 653, Beer-Sheva,

More information

Wave Propagation through Random Media

Wave Propagation through Random Media Chapter 3. Wave Propagation through Random Media 3. Charateristis of Wave Behavior Sound propagation through random media is the entral part of this investigation. This hapter presents a frame of referene

More information

The universal model of error of active power measuring channel

The universal model of error of active power measuring channel 7 th Symposium EKO TC 4 3 rd Symposium EKO TC 9 and 5 th WADC Workshop nstrumentation for the CT Era Sept. 8-2 Kosie Slovakia The universal model of error of ative power measuring hannel Boris Stogny Evgeny

More information

Counting Idempotent Relations

Counting Idempotent Relations Counting Idempotent Relations Beriht-Nr. 2008-15 Florian Kammüller ISSN 1436-9915 2 Abstrat This artile introdues and motivates idempotent relations. It summarizes haraterizations of idempotents and their

More information

Related Topics Maxwell s equations, electrical eddy field, magnetic field of coils, coil, magnetic flux, induced voltage

Related Topics Maxwell s equations, electrical eddy field, magnetic field of coils, coil, magnetic flux, induced voltage Magnetic induction TEP Reated Topics Maxwe s equations, eectrica eddy fied, magnetic fied of cois, coi, magnetic fux, induced votage Principe A magnetic fied of variabe frequency and varying strength is

More information

COMMONWEALTH OF PENNSYLVANIA DEPARTMENT OF TRANSPORTATION BUREAU OF PROJECT DELIVERY TC-8701D

COMMONWEALTH OF PENNSYLVANIA DEPARTMENT OF TRANSPORTATION BUREAU OF PROJECT DELIVERY TC-8701D INFORMATIONA NOTES READ THESE NOTES BEFORE USING THESE STANDARDS. DE RITERIA FOR PENNDOT STRUTURES DEAD OADS PENNDOT STD. DWGS. (U.N.O.)* MATERIAS AND WORKMANSHIP: ONSTRUTION GENERA NOTES USE THESE STANDARDS

More information

1 The length measurement unit in two difference space-time structures

1 The length measurement unit in two difference space-time structures On the origin of gravitationa fore Zhi Cheng (9 Bairong st. Baiyun Distrit, Guangzhou, China. 510400. gzhengzhi@hotmai.om Abstrat: Equivaene rinie is the basement of genera reativity theory. It oints out

More information

Tarek Aissa, Christian Arnold, Steven Lambeck

Tarek Aissa, Christian Arnold, Steven Lambeck Preprints of the 9th orld Congress he International Federation of Automati Control Cape own, outh Afria. August 4-9, 04 Combined Approah of Fuzzy Deision Making and Preditive Funtional Control to Minimize

More information

Uncertainty Handling CMA-ES for Reinforcement Learning

Uncertainty Handling CMA-ES for Reinforcement Learning Unertainty Handing CMA-ES for Reinforement Learning Verena Heidrih-Meisner Institut für Neuroinformatik Ruhr-Universität Bohum 44780 Bohum, Germany verena.heidrih-meisner @neuroinformatik.rub.de Christian

More information

Normative and descriptive approaches to multiattribute decision making

Normative and descriptive approaches to multiattribute decision making De. 009, Volume 8, No. (Serial No.78) China-USA Business Review, ISSN 57-54, USA Normative and desriptive approahes to multiattribute deision making Milan Terek (Department of Statistis, University of

More information

Available online at ScienceDirect

Available online at   ScienceDirect Avaiabe onine at www.sienediret.om SieneDiret Proedia Engineering 7 04 ) 9 4 Geoogia Engineering Driing Tehnoog Conferene IGEDTC), New Internationa Convention Eposition Center Chengdu Centur Cit on rd-5th

More information

Math 151 Introduction to Eigenvectors

Math 151 Introduction to Eigenvectors Math 151 Introdution to Eigenvetors The motivating example we used to desrie matrixes was landsape hange and vegetation suession. We hose the simple example of Bare Soil (B), eing replaed y Grasses (G)

More information

A Functional Representation of Fuzzy Preferences

A Functional Representation of Fuzzy Preferences Theoretial Eonomis Letters, 017, 7, 13- http://wwwsirporg/journal/tel ISSN Online: 16-086 ISSN Print: 16-078 A Funtional Representation of Fuzzy Preferenes Susheng Wang Department of Eonomis, Hong Kong

More information

Combining reaction kinetics to the multi-phase Gibbs energy calculation

Combining reaction kinetics to the multi-phase Gibbs energy calculation 7 th European Symposium on Computer Aided Process Engineering ESCAPE7 V. Pesu and P.S. Agachi (Editors) 2007 Esevier B.V. A rights reserved. Combining reaction inetics to the muti-phase Gibbs energy cacuation

More information