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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Application of Genetic Programming for Fine Tuning PID Controller Parameters Designed Through Ziegler-Nichols Technique
verfasst von : Gustavo Maia de Almeida, Valceres Vieira Rocha e Silva, Erivelton Geraldo Nepomuceno, Ryuichi Yokoyama
Erschienen in: Advances in Natural Computation
Verlag: Springer Berlin Heidelberg
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PID optimal parameters selection have been extensively studied, in order to improve some strict performance requirements for complex systems. Ziegler-Nichols methods give estimated values for these parameters based on the system’s transient response. Therefore, a fine tuning of these parameters is required to improve the system’s behavior. In this work, genetic programming is used to optimize the three parameters
K
p
,
T
i
and
T
d
, after been tuned by Ziegler-Nichols method, to control a high-order process, a large time delay plant and a highly non-minimum phase process. The results were compared to some other tuning methods, and showed to be promising.