关键词: 粒子群优化算法, 改进粒子群优化算法, 初始惯性权重, 主汽温控制系统, PID参数优化

Abstract: The thesis proposes a PID controller parameter tuning method based on improved particle swarm optimization (PSO) algorithm. Given by different initial particle inertia weight, it can coordinate the overall situation of the particle and local search capabilities. Simulation study on power plant main steam temperature whose parameters have serious uncertainty, disturbances, as well as large delay shows that: Based on the stability of PID control, the improved particle swarm optimization algorithm improves the accuracy of PID control, and the coding is simple, as well as easy to implement, so it has good application prospects.

Key words: particle swarm optimization, improved particle swarm optimization, initial inertia weight, main steam temperature system, PID parameter optimization