基于粒子群算法的污水处理优化控制策略

摘要

针对污水生化处理控制过程中寻优速度较慢、无法实现高质量的污水处理控制等问题,设计了一种新型粒子群算法.通过基于混沌序列的粒子群初始化方法,增强了粒子群的多样性,提高了算法效率；在寻优过程中,当系统陷入局部最优时,引入扰动,有效地克服了早熟.仿真结果表明,本算法不但保证了寻优速度,而且在保持出水水质符合标准的前提下使污水处理的经济成本达到最优.%Aiming at solving the problems of slow optimization and poor achievement for high quality control in the biological wastewater treatment process,this paper proposed a new particle swarm algorithm. Through the chaotic sequence-based particle swarm initialization, the proposed algorithm enhanced the diversity of particle swarm,and achieved efficiency improvement. In the optimization process,when the system reached a local optimum,the algorithm effectively overcame the prematurity by the introduction of a disturbance. Simulation results show that the algorithm not only guarantees the optimization speed,but also a-chieves optimal economic costs of wastewater treatment under the premise of water quality standard compliant.