关键词: 微粒群优化算法, PID控制, 参数优化, 基于T-S模型的模糊自适应PSO算法, 早熟

Abstract: In order to solve the premature convergence problem of particle swarm optimization，a novel fuzzy adaptive Particle Swarm Optimization based on T-S model（T-SPSO） is presented.The proposed method shapes the T-S rules according to the current best performance evaluation and inertia weight of swarm，which dynamically update the value of inertia weight and significantly speed up the convergence.The improved algorithm significantly improves the performance of parameters applied in parameter setting of PID controller.The simulation results illustrate the effectiveness of this proposed method and superiority of the controller.

Key words: Particle Swarm Optimization（PSO）, PID control, parameter optimization, Particle Swarm Optimization based on T-S model（T-SPSO）, premature