基于自适应变异差分进化算法的溶解氧浓度控制系统

Dissolved Oxygen Concentration Control System Based on the Adaptive Mutation Differential Evolution Algorithm

关键词:  溶解氧  PID  差分进化算法  自适应变异

Key Words:dissolved oxygen  PID  differential evolution algorithm  adaptive mutation

摘要:溶解氧是造纸中段废水好氧处理过程中的重要参量,但溶解氧过程控制回路存在大时滞、非线性等问题,常规PID控制难以收到理想效果。本课题在分析差分进化算法的基础上,提出了一种自适应变异差分进化算法,用于PID控制器的参数优化,实现对溶解氧浓度的精准控制。MATLAB仿真结果表明，与常规PID控制和基于传统差分进化算法的PID控制相比,本算法具有响应速度快、超调量小的优点,能够收到良好的控制效果。本算法已经投入实际应用,CODCr去除率达到84.5%,BOD去除率达到93.4%,水处理系统运行良好,能够实现废水达标排放。

Abstract:The parameter of dissolved oxygen is of great importance in the process of paper wastewater treatment. But the dissolved oxygen control process exists the problems of nonlinear and time-delay, the normal PID control is hard to get ideal effect. In this paper, based on the analysis of the differential evolution algorithm, an adaptive mutation differential evolution algorithm was proposed, and used to the parameter optimization of PID controller, in order to realize the dissolved oxygen concentration precise control. Through MATLAB simulation, compared with the normal PID control and the PID control based on the traditional differential evolution algorithm, this algorithm had the advantages of fast response, less overshoot and good control effect. In practical applications of this algorithm COD removal rate reached 84.5%, BOD removal rate reached 93.4%,Water treatment system was running well and the treated wastewater could meet the discharge regulation.