基于SCEA的模糊控制器的优化设计研究

The Research of optimizing and designing on Fuzzy Controller based on SCEA

有关最优模糊控制器设计的研究已经提出许多年了,也因此而提出了各种各样的模糊建模方法。该文为模糊建模提出了一种新颖的算法――计划协同进化算法(Schema Coevolutionary Algorithm-SCEA),用该算法来设计最优模糊控制器,并将优化后的模糊控制器用于汽车防抱死制动系统(ABS)。理论分析以及仿真试验都验证了该算法的有效性。

Researches on the design of the optimal fuzzy controller have been carried out for many years. Various approaches to fuzzy modeling have been proposed. In this paper,we introduce a novel algorithm, schema coevolutionary algorithm,for fuzzy modeling. We apply it to design the optimal fuzzy controller. The fuzzy controller is used to control the Anti-lock Braking System. We verify the efficacy of this algorithm through theoretic analysis and simulation experiment.