基于改进WOA参数优化的反应釜PID控制器

Reactor PID controller based on improved WOA parameter optimization

为了解决工业中传统PID控制算法对于大时滞、非线性系统较难取得良好的控制效果的问题,提出一种基于改进鲸鱼优化算法(IWOA)的PID控制器整定算法。该算法考虑均衡算法的探查以及开发能力,引入非线性收敛因子;为了提高算法的勘察能力,避免陷入局部最优的情况,引入正余弦扰动因子改进位置更新策略;最后以化工反应中反应釜温度为被控对象,对其PID控制器进行参数自整定实验,并将结果与WOA算法、Z-N整定算法、PSO算法进行对比,验证了IWOA算法在优化PID控制器工程上的优越性。

Since the traditional PID control algorithm in industry is more difficult to achieve good control effect for large time lag and nonlinear system,a PID controller tuning algorithm based on improved whale optimization algorithm(IWOA)is pro-posed.In the algorithm,the nonlinear convergence factor is introduced to consider the exploration and development ability of the equalization algorithm.The positive cosine perturbation factor is introduced to improve the position updating strategy,so as to im-prove the exploration ability of the algorithm and avoid falling into the local optimal situation.The PID controller is subjected to the parameter self-tuning experiments by taking the reactor temperature in the chemical reaction as the object under control.The experimental results are compared with those of the WOA,Z-N tuning algorithm and PSO algorithm,and the superiority of the IWOA in optimizing PID controller engineering is verified.