基于改进PSO算法的PID控制器参数优化

针对PID控制器参数设计问题，提出了一种基于改进PSO算法的优化方法。该方法将初始的粒子群分成两组搜索方向相反、相互协同的主、辅子群，在保持种群小规模情况下，增强算法全局探索能力，实现高精度的优化结果。仿真结果表明，该方法相比于传统算法，所得到的控制器参数使控制系统获得了更好的动态响应特性和满意的控制效果。

Optimization of PID Controller Parameters Based on Improved Particle Swarm Optimization

An optimization method based on improved PSO algorithm is proposed for adjusting PID controller parameters. The population is divided into two subpopulations, named main subpopulation particle swarm and assistant subpopulation particle swarm, whose searching direction are inversed completely. The searching range is extended and the optimal results are more accurate, under the condition of small population. The simulation results showed that the controller parameters from the improved PSO algorithm can make control system have better dynamic response characteristics and satisfactory control effect than traditional algorithms.