基于扰动抑制的差分进化算法的纸浆浓度控制系统

目的为了解决传统单PID控制优化算法仅关注跟踪性能,无法满足在纸浆浓度控制系统等工业生产环节中控制品质和成品良率的需求。方法将PID控制系统离散化以计算在高斯扰动下的输出方差作为扰动抑制的依据,并结合ITAE指标通过差分进化算法优化PID性能。结果仿真表明,该整定方法可以通过权值选取优化的偏好,自由调节PID控制器的性能表现,对比基于Z-N法的PID控制和基于PSO算法优化的PID控制,基于扰动抑制差分进化算法的PID控制的ITAE指标为14.3495,输出方差为31.8530,均优于其他2种算法。结论基于扰动抑制的差分进化算法可以通过用户自定义权重来协调纸浆浓度的输出方差和跟踪性能,从更实际的角度整定纸浆浓度控制系统的PID控制器参数,使得控制系统的性能指标满足工业生产要求。

Pulp Concentration Control System Based on Differential Evolution Algorithm under Disturbance Rejection

The paper aims to solve the problem that the traditional single PID control optimization algorithm only focuses on response performance, so as to meet the demand on quality and yield control in the industrial production links such as pulp concentration control system. The algorithm calculated disturbance rejection by discretizing PID control system, and optimized PID performance by differential evolution algorithm combined with ITAE index. Simulation results showed that the tuning method can freely adjust the performance of PID controller by selecting the optimal preference through the weight. Compared with PID control based on Z-N method and PID control based on PSO algorithm, the ITAE index of PID control based on disturbance rejection differential evolution algorithm was 14.3495, and the output variance was 31.8530, both were better than those of the other two algorithms. The differential evolution algorithm based on disturbance rejection can coordinate the output variance and tracking performance of pulp concentration by user-defined weight, and adjust the parameters of PID controller of pulp concentration control system from a more practical point of view, so that the performance index of control system can meet the requirements of industrial production.