Research and Application of Self-optimum and Fuzzy Controller Based on Genetic Algorithm
LU Zhi-lai
ZHANG Bao-hui
HA Heng-xu
Abstract：After analyzing characteristics and demands of electric driving system in mines, a kind of selfoptimum and fuzzy controller based on genetic algorithm and fuzzy control theory is presented. The simulation and real-time control results show that regulating system designed with the controller has provided with advantages of the fast response speed, no differential static, non-overshoot and strong in robustness. It is an effective control algorithm combined genetic algorithm.
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Publication Date：2001-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 3-5 )