摘要： PID控制器的参数整定表现为在3个参数空间中寻求最优值,使得系统的控制性能达到最优。教与学优化算法是一种新兴的群智能优化算法。为加强PID控制器的参数整定,基于教与学优化算法,提出一种PID控制器参数自整定方法,实现PID控制器的参数寻优。利用Matlab进行 实例仿真,结果表明,与基于粒子群算法和遗传算法的PID参数整定方法进行比较,该方法参数简单、精度高,可快速有效地实现PID控制器参数的自整定。

关键词: 教与学优化算法, PID控制器, 参数自整定, 遗传算法, 粒子群优化算法

Abstract: The Proportional-Integral-Derivative(PID)controller parameters tuning,is seeking the optimal value in the space of three parameters to achieve the optimal control performance of the system.Teaching-learning optimization is a new kind of swarm intelligence optimization algorithm.The algorithm is simple and easy to understand,and has less parameters,high solving speed,high precision and strong convergence ability.A new PID controller parameters tuning method based on the teaching-learning optimization algorithm is proposed.The parameters optimization of PID controller is realized by using teaching-learning,and simulation examples are done by Matlab.In the simulation examples,compared with the PID controller parameters tuning methods based on Particle Swarm Optimization(PSO)algorithm and Genetic Algorithm(GA),the results show that this method is simple with high precision.And it can effectively achieve the self-tuning of PID controller parameters quickly.

Key words: teaching-learning optimization algorithm, Proportional-Integral-Derivative(PID) controller, parameter self-tuning, Genetic Algorithm(GA), Particle Swarm Optimization(PSO)algorithm

中图分类号: 

• TP301.6