Optimization for Design of PID Controller Based on Improved PSO

摘要

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 PSO algorithm with 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.