Documents disponibles écrits par cet auteur

Multivariable control with generalized decoupling for disturbance rejection / Feng-Yi Lin in Industrial & engineering chemistry research, Vol. 48 N° 20 (Octobre 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 20 (Octobre 2009) . - pp. 9175–9185 Titre : Multivariable control with generalized decoupling for disturbance rejection Type de document : texte imprimé Auteurs : Feng-Yi Lin, Auteur ; Jyh-Cheng Jeng, Auteur ; Huang, Hsiao-Ping, Auteur Année de publication : 2010 Article en page(s) : pp. 9175–9185 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Multivariable  controllers  MIMO  decoupler Résumé : In this paper, a systematic procedure to design multivariable controllers that have options for selective decoupling of different structures (e.g., full or partial decoupler) is proposed. The controller structure is determined based on an analysis of relative load gain (RLG). For controller design, the adjoint of a template matrix is provided to design the MIMO decoupler that is needed for a given process. In the case where decoupling is desirable, according to the number of zero deficiency that the adjoint of the template matrix has, a pole-zero compensator is incorporated to preserve the properness of the decoupling controller and to define the decoupled open-loop dynamics. By incorporating the decoupler, the controller in the main loop is synthesized for disturbance rejection. Stability robustness of the system is tuned using measures of modeling errors in the decoupled open-loop process. Simulation examples are used to illustrate the proposed method and show its effectiveness in disturbance rejection in MIMO systems. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801477z [article] Multivariable control with generalized decoupling for disturbance rejection [texte imprimé] / Feng-Yi Lin, Auteur ; Jyh-Cheng Jeng, Auteur ; Huang, Hsiao-Ping, Auteur . - 2010 . - pp. 9175–9185. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 20 (Octobre 2009) . - pp. 9175–9185 Mots-clés : Multivariable  controllers  MIMO  decoupler Résumé : In this paper, a systematic procedure to design multivariable controllers that have options for selective decoupling of different structures (e.g., full or partial decoupler) is proposed. The controller structure is determined based on an analysis of relative load gain (RLG). For controller design, the adjoint of a template matrix is provided to design the MIMO decoupler that is needed for a given process. In the case where decoupling is desirable, according to the number of zero deficiency that the adjoint of the template matrix has, a pole-zero compensator is incorporated to preserve the properness of the decoupling controller and to define the decoupled open-loop dynamics. By incorporating the decoupler, the controller in the main loop is synthesized for disturbance rejection. Stability robustness of the system is tuned using measures of modeling errors in the decoupled open-loop process. Simulation examples are used to illustrate the proposed method and show its effectiveness in disturbance rejection in MIMO systems. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801477z

Nonparametric identification for control of MIMO hammerstein systems / Jyh-Cheng Jeng in Industrial & engineering chemistry research, Vol. 47 N°17 (Septembre 2008) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 47 N°17 (Septembre 2008) . - p. 6640–6647 Titre : Nonparametric identification for control of MIMO hammerstein systems Type de document : texte imprimé Auteurs : Jyh-Cheng Jeng, Auteur ; Huang, Hsiao-Ping, Auteur Année de publication : 2008 Article en page(s) : p. 6640–6647 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Hammerstein  models  Nonparametric  method  Linear  dynamic  subsystem  Algebraic  nonlinear  function Résumé : A new nonparametric method to identify multivariable Hammerstein models is presented. The Hammerstein model is characterized by a combination of a linear dynamic subsystem and an algebraic nonlinear function. There could be many different models that give the same input−output realization. The purpose of this identification is to find out one among those models for controller design. This identification uses a sequence of specially designed test signals for excitation. The linear dynamic subsystem is identified as a finite sequence of impulse response (FIR), and the static nonlinearity is identified as a multi-input−multi-output (MIMO) functional mapping. By making use of this special test signal, the FIR sequence can be estimated under a single-input−single-output (SISO) framework. Moreover, the identification for linear subsystem can be decoupled from that for the nonlinear static part. This nonparametric model can be used for model predictive control applications. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071512q [article] Nonparametric identification for control of MIMO hammerstein systems [texte imprimé] / Jyh-Cheng Jeng, Auteur ; Huang, Hsiao-Ping, Auteur . - 2008 . - p. 6640–6647. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 N°17 (Septembre 2008) . - p. 6640–6647 Mots-clés : Hammerstein  models  Nonparametric  method  Linear  dynamic  subsystem  Algebraic  nonlinear  function Résumé : A new nonparametric method to identify multivariable Hammerstein models is presented. The Hammerstein model is characterized by a combination of a linear dynamic subsystem and an algebraic nonlinear function. There could be many different models that give the same input−output realization. The purpose of this identification is to find out one among those models for controller design. This identification uses a sequence of specially designed test signals for excitation. The linear dynamic subsystem is identified as a finite sequence of impulse response (FIR), and the static nonlinearity is identified as a multi-input−multi-output (MIMO) functional mapping. By making use of this special test signal, the FIR sequence can be estimated under a single-input−single-output (SISO) framework. Moreover, the identification for linear subsystem can be decoupled from that for the nonlinear static part. This nonparametric model can be used for model predictive control applications. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071512q

Optimal H2 IMC-PID controller with set-point weighting for time-delayed unstable processes / Anggi A. Nasution in Industrial & engineering chemistry research, Vol. 50 N° 8 (Avril 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 8 (Avril 2011) . - pp. 4567–4578 Titre : Optimal H2 IMC-PID controller with set-point weighting for time-delayed unstable processes Type de document : texte imprimé Auteurs : Anggi A. Nasution, Auteur ; Jyh-Cheng Jeng, Auteur ; Hsiao-Ping Huang, Auteur Année de publication : 2011 Article en page(s) : pp. 4567–4578 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : optimal  H2  Unstable  processes Résumé : This paper presents the synthesis of optimal H2 proportional−integral−derivative (PID) controller from internal model control (IMC) design for unstable processes with single right-half-plane (RHP) pole and time delay. The H2 optimal closed-loop transfer functions, for unit set-point and disturbance inputs, are first derived to synthesize the ideal controller. This ideal controller is then used to obtain PID parameters by the approach of Maclaurin series approximation. The proposed PID tuning is compared with those resulting from some of the recently developed desired closed-loop transfer functions in the literature in terms of performance and robustness both for set-point tracking and input disturbance rejection. Moreover, to improve the performance of set-point tracking, this paper also presents the two degrees of freedom controller design, which can be further derived as a set-point weighted PID controller. The tuning formulas for these weighting parameters on proportional and derivative modes are thus developed. Simulation examples are provided to demonstrate the effectiveness of the proposed tuning method DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1021688 [article] Optimal H2 IMC-PID controller with set-point weighting for time-delayed unstable processes [texte imprimé] / Anggi A. Nasution, Auteur ; Jyh-Cheng Jeng, Auteur ; Hsiao-Ping Huang, Auteur . - 2011 . - pp. 4567–4578. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 8 (Avril 2011) . - pp. 4567–4578 Mots-clés : optimal  H2  Unstable  processes Résumé : This paper presents the synthesis of optimal H2 proportional−integral−derivative (PID) controller from internal model control (IMC) design for unstable processes with single right-half-plane (RHP) pole and time delay. The H2 optimal closed-loop transfer functions, for unit set-point and disturbance inputs, are first derived to synthesize the ideal controller. This ideal controller is then used to obtain PID parameters by the approach of Maclaurin series approximation. The proposed PID tuning is compared with those resulting from some of the recently developed desired closed-loop transfer functions in the literature in terms of performance and robustness both for set-point tracking and input disturbance rejection. Moreover, to improve the performance of set-point tracking, this paper also presents the two degrees of freedom controller design, which can be further derived as a set-point weighted PID controller. The tuning formulas for these weighting parameters on proportional and derivative modes are thus developed. Simulation examples are provided to demonstrate the effectiveness of the proposed tuning method DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie1021688