一种模糊自适应粒子群优化算法的分数阶PIλDμ控制器设计

摘要

针对分数阶PIλDμ控制器待设计参数多,整定复杂问题,采用模糊自适应粒子群优化算法(Fuzzy Adaptive Particle Swarm Optimization,FAPSO)设计分数阶PIλDμ控制器参数.采用模糊规则的方法对惯性权重及位置更新进行了模糊逻辑处理.仿真结果表明,与传统的PSO算法比较,采用FAPSO方法所设计的分数阶PIλDμ控制器,具有更好控制品质和更强的鲁棒性.%Fuzzy adaptive particle swarm optimization(FAPSO)algorithm is used to design the fractional or-derPIλDμcontroller parameters to solve the problem of the fractional order PIλDμcontroller to be designed with many parameters and set complex.Fuzzy rules are used to deal with inertia weight and position updating.The simulation results show that it has better control quality and robustness than the traditional PSO algorithm.