Robust 2DOF PID controller design of time-delay sytems based on evolutionary computation

Authors:
Tohru Kawabe
Affiliations:
Department of Computer Science, Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan
Venue:
ICECS'05 Proceedings of the 4th WSEAS international conference on Electronics, control and signal processing
Year:
2005

Citing 3
Cited 0

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Multiple Objective Optimization with Vector Evaluated Genetic Algorithms

Proceedings of the 1st International Conference on Genetic Algorithms
An overview of evolutionary algorithms in multiobjective optimization

Evolutionary Computation

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Abstract

This paper presents a new evolutionary computing method for the design of robust PID controller with two degrees of freedom (2DOF PID controller). Since the objective plants have a time-delay element and parametric uncertainties, the design problem is formulated as a multi-objective minimax optimization problem. Therefore the high-performed optimization method is required. The proposed evolutionary computing method is to generate a set of pareto-optimal solution that is properly distributed in the trade-off surface generated by multi-objective functions. Numerical examples show the effectiveness of the proposed approach.