Optimization Design of Fuzzy Control Rules Based on Ant Colony Algorithm
Ya Lang Xing, Xin He, Jin Cheng Zhao · Applied Mechanics and Materials · 2014
To avoid the fuzzy rules getting into “rule exploding” in fuzzy control system, a fuzzy control rules optimization algorithm based on compatibility coefficient is proposed. The method defines the compatibility coefficient of fuzzy rules, and the compatibility coefficient matrix is used to be the heuristic information in ant colony algorithm. Ant colony algorithm is used to optimize designed complete fuzzy rule base. Simulation results show that the fuzzy rules have good compatibility and control performance.