基于PSO-DE算法的污水处理优化控制研究

Optimal Control for Wastewater Treatment Process Based on Mixed POS-DE Algorithm

摘要:

针对目前污水处理系统能耗过大,处理效果差等问题,提出了基于改进型粒子群算法的优化控制;采用粒子群差分进化算法(PSO-DE)可以提高粒子全局搜索能力与收敛速度,克服粒子早熟现象;在实际应用中建立以溶解氧浓度(DO)与污泥排放量(Qw)为变量,以能耗与出水水质为约束条件的数学模型,通过算法全局寻优求解,验证结果表明该算法能保证出水水质前提下降低污水处理能耗。

Abstract:

The characteristics of the sewage treatment process are higher energy consumption, poor treatment effect.To solve these problems the optimization control based on improved PSO algorithm is proposed. The new hybrid algorithm(PSO-DE)is designed to enhance the speed of particle and overcome prematurity. By establishing a corresponding model,taking dissolved oxygen concentration and sludge emissions as control variable, operating costs as performance index and outlet water quality as constraint conditions. The results show that the proposed algorithm can reduce the consumption of sewage treatment and keep the outlet water quality.