污水处理曝气过程的智能融合控制策略

Intelligence-Based Fusion Control Strategy in Aeration Process of Polluted Water Treatment

污水处理是复杂的生物化学反应过程,针对曝气过程中参数不确定性导致的控制难题,提出了基于智能融合的污水参数控制策略.分析了需要控制的关键参数和污水处理的过程特性,讨论了污水参数控制的融合策略,构造了控制器结构模型,研究了控制算法.基于控制模型作了仿真实验对比研究,实验验证了智能融合控制策略在系统动、静态品质方面优于PID控制策略.仿真结果表明该控制策略是可行和有效的.

Polluted water treatment involves complicated biological and chemical processes. To overcome the difficulty in controlling the aeration process resulting from the uncertainty of the related parameters, this paper proposes an intelligence-based fusion control strategy for polluted water parameters. It analyzes the key parameters needed to be controlled and the process characteristics of polluted water disposal, discusses the fusion-based strategy of parameter control in polluted water, constructs a model of controller structure, and gives the control algorithm. Based on the control model developed, a simulation experiment is made, which demonstrates that the proposed intelligence-based fusion control strategy is superior to PID in their dynamic and static quality and that the proposed control strategy is feasible and effective.