基于混合免疫协同进化算法的模糊-PI优化控制

针对遗传算法诸如局部搜索能力差、早熟收敛、“退化”现象等问题，在协同进化算法(CA)的基础上融入传统的单纯形算法，同时引入免疫算子来防止“退化”现象，提出了混合免疫协同进化算法(HICA)，并设计了一种自适应交叉、变异算子以提高算法的运算效率；应用HICA对模糊 PI控制器的各个参数进行协同优化，设计了体现控制器综合性能指标的目标函数，仿真结果表明：提出的基于HICA模糊 PI控制优化方法可以获得满意的控制效果.

Fuzzy-PI optimization control based on hybrid immune co-evolutionary algorithm

In view of such drawbacks of genetic algorithm as poor local search ability and premature convergence,a kind of hybrid immune co-evolutionary algorithm(HICA) was proposed by incorporating simplex algorithm into co-evolutionary algorithm(CA) and introducing immune theory into CA.And the adaptive crossover and mutation were adopted in order to improve the efficiency of the algorithm.The integrated optimal design method for a fuzzy-PI controller was presented,in which parameters could be optimized cooperatively.The simulation results show that the proposed fuzzy-PI control has satisfactory performances.