Smith-Predictor Controller Design with Reduction Model using Genetic Algorithm

H.-S. Hwang, J.-H. Cho, J.-N. Choi, S.-K. Oh, and T.-C. Ahn (Korea)

Keywords

Model reduction, PID Controller, SmithPredictor Controller, Genetic Algorithm.

Abstract

To improve the performance of PID controller of high order systems by model reduction, we proposed a new model reduction method using genetic algorithm. This method considered four points (G( jω) = 0, π /2, π , -3 π /2) in the Nyquist curve to reduce steady states the error between original and reduced model. And we proposed Smith-predictor for a dead-time compensator using genetic algorithms. It is shows that the proposed methods have much high performance than the conventional method worked preciously.

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