基于改进粒子群优化算法的比例-积分-微分控制器

粒子群优化算法自1995年问世以来得到了很大的发展,简要阐述了粒子群优化算法的基本原理,并提出了根据改进该算法而构成的比例—积分—微分控制器。比例—积分—微分控制器的3个参数可以得以优化。该控制器具有结构简单,易于实现,鲁棒性好的特点,仿真结果表明基于改进粒子群优化算法的比例—积分—微分控制器具有良好的性能。

Proportional Integral Derivative Controller Based on Improved Particle Swarm Optimization

The developments of the particle swarm optimization since its origin in 1995 are reviewed.The principle of the basic particle swarm optimization is discussed briefly.A new algorithm which is the average local best position is presented to replace the local best of the traditional velocity update rule.One particle can acquire more messages of the other particles to adjust its movement in this method.Integrating particle swarm optimization(PSO) algorithm with propostional integral derivative(PID) controller,the three parameters of the PID controller can be optimized,which has the features of simple structure,easy implementation and robust performance.The simulation shows the PID controller integrated with the improved PSO algorithm achieved a good performance.