Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using Metamodeling

For long time the optimization of controller parameters uses the well-known classical method such as the Ziegler-Nichols and the Cohen-Coon tuning techniques. Despite its effectiveness, these off-line tuning techniques can be time consuming especially for a case of complex nonlinear system. This pap...

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Main Authors: M. N. Ab Malek, M. S. Mohamed Ali
Format: Article
Language:English
Published: Wiley 2009-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2009/234529
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author M. N. Ab Malek
M. S. Mohamed Ali
author_facet M. N. Ab Malek
M. S. Mohamed Ali
author_sort M. N. Ab Malek
collection DOAJ
description For long time the optimization of controller parameters uses the well-known classical method such as the Ziegler-Nichols and the Cohen-Coon tuning techniques. Despite its effectiveness, these off-line tuning techniques can be time consuming especially for a case of complex nonlinear system. This paper attempts to show a great deal on how Metamodeling techniques can be utilized to tune the PID controller parameters quickly. Note that the plant use in this study is the cruise control system with 2 different models, which are the linear model and the nonlinear model. The difference between both models is that the disturbances were taken into consideration for the nonlinear model, but in the linear model the disturbances were assumed as zero. The Radial Basis Function Neural Network Metamodel is able to prove that it can minimize the time in tuning process as it is able to give a good approximation to the optimum controller parameters in both models of this system.
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spelling doaj-art-2041ddbbc21a4e4d914eb5f949bb7ca52025-08-20T02:04:33ZengWileyModelling and Simulation in Engineering1687-55911687-56052009-01-01200910.1155/2009/234529234529Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using MetamodelingM. N. Ab Malek0M. S. Mohamed Ali1Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Darul Takzim, 81310 Skudai, MalaysiaFaculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM), Johor Darul Takzim, 81310 Skudai, MalaysiaFor long time the optimization of controller parameters uses the well-known classical method such as the Ziegler-Nichols and the Cohen-Coon tuning techniques. Despite its effectiveness, these off-line tuning techniques can be time consuming especially for a case of complex nonlinear system. This paper attempts to show a great deal on how Metamodeling techniques can be utilized to tune the PID controller parameters quickly. Note that the plant use in this study is the cruise control system with 2 different models, which are the linear model and the nonlinear model. The difference between both models is that the disturbances were taken into consideration for the nonlinear model, but in the linear model the disturbances were assumed as zero. The Radial Basis Function Neural Network Metamodel is able to prove that it can minimize the time in tuning process as it is able to give a good approximation to the optimum controller parameters in both models of this system.http://dx.doi.org/10.1155/2009/234529
spellingShingle M. N. Ab Malek
M. S. Mohamed Ali
Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using Metamodeling
Modelling and Simulation in Engineering
title Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using Metamodeling
title_full Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using Metamodeling
title_fullStr Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using Metamodeling
title_full_unstemmed Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using Metamodeling
title_short Evolutionary Tuning Method for PID Controller Parameters of a Cruise Control System Using Metamodeling
title_sort evolutionary tuning method for pid controller parameters of a cruise control system using metamodeling
url http://dx.doi.org/10.1155/2009/234529
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