Sinopsis
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.
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Reseña del editor
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.
Biografía del autor
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.
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PID Controller Design Using Genetic Algorithm
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ISBN 10: 3639512863
ISBN 13: 9783639512861
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 116 pp. Englisch. Nº de ref. del artículo: 9783639512861
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PID Controller Design Using Genetic Algorithm: Single and Multi-variable Processes
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PID Controller Design Using Genetic Algorithm: Single and Multi-variable Processes
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PID Controller Design Using Genetic Algorithm
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lengare Madhukar J.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, Ind. Nº de ref. del artículo: 4993016
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PID Controller Design Using Genetic Algorithm
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Scholars' Press Mär 2013, 2013
ISBN 10: 3639512863
ISBN 13: 9783639512861
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch. Nº de ref. del artículo: 9783639512861
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PID Controller Design Using Genetic Algorithm : Single and Multi-variable Processes
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783639512861
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PID Controller Design Using Genetic Algorithm | Single and Multi-variable Processes
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Taschenbuch. Condición: Neu. PID Controller Design Using Genetic Algorithm | Single and Multi-variable Processes | Madhukar J. Lengare (u. a.) | Taschenbuch | 116 S. | Englisch | 2013 | Scholars' Press | EAN 9783639512861 | Verantwortliche Person für die EU: Scholars Press, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106009785
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PID Controller Design Using Genetic Algorithm: Single and Multi-variable Processes
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ISBN 10: 3639512863
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