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http://dx.doi.org/10.5302/J.ICROS.2006.12.7.644

System Parameter Estimation and PID Controller Tuning Based on PPGAs  

Shin Myung-Ho (부양전자산업(주)연구소)
Kim Min-Jeong (한국해양대학교 대학원 제어계측공학과)
Lee Yun-Hyung (한국해양대학교 대학원 메카트로닉스공학부)
So Myung-Ok (한국해양대학교 선박전자기계공학부)
Jin Gang-Gyoo (한국해양대학교 IT 공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.12, no.7, 2006 , pp. 644-649 More about this Journal
Abstract
In this paper, a methodology for estimating the model parameters of a discrete-time system and tuning a digital PID controller based on the estimated model and a genetic algorithm is presented. To deal with optimization problems regarding parameter estimation and controller tuning, pseudo-parallel genetic algorithms(PPGAs) are used. The parameters of a discrete-time system are estimated using both the model adjustment technique and a PPGA. The digital PID controller is described by the pulse transfer function and then its three gains are tuned based on both the model reference technique and another PPGA. A set of experimental works on two processes are carried out to illustrate the performance of the proposed method.
Keywords
pseudo-parallel genetic algorithm; parameter estimation; digital PID controller; optimal tuning;
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Times Cited By KSCI : 1  (Citation Analysis)
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