基于自适应遗传算法的控制器自动化设计

Auto mated Design of Controller Using Adaptive Genetic Algorithms

基于改进的自适应遗传算法,实现了基于性能分析的自动化优化设计控制器参数的目的。采用的遗传算子包括:二进制多参数级联编码方法;适应度函数的构造综合考虑误差和误差的变化量;选择操作采用比例算子与精英保存策略相结合;两点交叉和多点变异,且交叉和变异概率均采用自适应策略。仿真结果表明了自适应遗传优化用于控制系统设计的有效性。

To realize automatically design the controller based on performance analysis,an improved adaptive genetic algorithm is used to optimize the control parameter in this paper.Here,ge-neti c operators adopted include multi-parameter cascade binary coding,the proportion al model in conjunction with the elitist model,the two-point crossover operator, the multi-point muta-tion,and adaptive choice of crossover and mutation probabi lity.The simulation results show that GAs is validity in the con-troller's par ameter optimization.