PID Controller Design Using Genetic Algorithm: Single and Multi-variable Processes - Couverture souple

Lengare, Madhukar J.; Chile, Rajan H.; Waghmare, Laxman M.

 
9783639512861: PID Controller Design Using Genetic Algorithm: Single and Multi-variable Processes
Couverture souple
ISBN 10 : 3639512863 ISBN 13 : 9783639512861
Editeur : Scholar's Press, 2013

Synopsis

In this book,attempts are made to design a intelligent Proportional-Integral-Derivative(PID)controller for processes. A simple Genetic Algorithm(GA)method has been applied to various single-input- single-output(SISO) & Multi-Input-Multi-Output(MIMO)process models for obtaining optimum PID parameters for minimization of error performance indices. The proposed method can choose the best PID parameters for each generation. Then, using the reproduction, crossover and mutation to create the new population for other PID parameters,the optimum PID parameter are obtained.The proposed method is compared with Ho et al., Ziegler-Nichols and Wang et al. It is observed that the results using proposed method are better in terms of IAE, ISE and ITAE. A simple and effective design methodology of decentralized PID controllers is developed based on extension of the GA based SISO controllers. Initially the system is decoupled using decoupler matrix and the first-order-plus-delay-time(FOPDT) model of each subsystems is obtained. FOPDT model obtained from decoupler, retains the unit characteristics of systems. A genetic approach is applied to obtain the parameters of the Decentralized PID controller.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

In this book,attempts are made to design a intelligent Proportional-Integral-Derivative(PID)controller for processes. A simple Genetic Algorithm(GA)method has been applied to various single-input- single-output(SISO) & Multi-Input-Multi-Output(MIMO)process models for obtaining optimum PID parameters for minimization of error performance indices. The proposed method can choose the best PID parameters for each generation. Then, using the reproduction, crossover and mutation to create the new population for other PID parameters,the optimum PID parameter are obtained.The proposed method is compared with Ho et al., Ziegler-Nichols and Wang et al. It is observed that the results using proposed method are better in terms of IAE, ISE and ITAE. A simple and effective design methodology of decentralized PID controllers is developed based on extension of the GA based SISO controllers. Initially the system is decoupled using decoupler matrix and the first-order-plus-delay-time(FOPDT) model of each subsystems is obtained. FOPDT model obtained from decoupler, retains the unit characteristics of systems. A genetic approach is applied to obtain the parameters of the Decentralized PID controller.

Biographie de l'auteur

Dr. Madhukar J. Lengare did his B.E. in Instrumentation Engineering from Marathwada University,Aurangabad,India in 1991 M.E. and Ph.D in Instrumentation from Swami Ramanand Teerth Marathwada University,Nanded, India in 2000 and 2012 respectively.Currently he is working as a Principal at Konkan Gyanpeeth college of Engineering,Karjat,Raigad,India.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Scholar's Press
Date d'édition
2013
Langue
anglais
ISBN 10 
3639512863
ISBN 13 
9783639512861
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
Personne responsable
non disponible