关键词: PID控制器, 风驱动优化算法, 遗传算法, 粒子群算法, 参数优化

Abstract: In view of the advantage of PID controller, the application of PID controller in industrial control becomes wider and wider. Parameters design optimization of PID controller is important to PID controller. PID parameters optimization is always a conundrum. To solve the problem of PID parameters optimization, it proposes the wind driven optimization algorithm which is based on nature inspiration. The optimization algorithm for PID parameters is viewed as a search of search population in the search space, the integration for absolute error and the square of control input is used as optimization goal, optimal control quantity is calculated through iterative optimization. Compared with the genetic algorithm and particle swarm optimization algorithm, the simulation results show that the algorithm improves control precision, system response speed and robustness, and provides reference for PID parameters optimization for control system.

Key words: PID controller, wind driven optimization algorithm, genetic algorithm, particle swarm optimization algorithm, parameters optimization