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针对污水处理系统溶解氧浓度难以控制和曝气耗能高的问题,提出了一种基于双层优化结构的加权区间预测控制方法。该方法首先通过动态矩阵控制算法建立污水处理过程预测模型,然后设计一种融合溶解氧区间控制和曝气能耗指标的双层目标优化控制策略,同时为减小模型失配和干扰因素对系统的影响,利用模型预测误差进行系统反馈校正。仿真结果表明,与传统PID控制和模型预测控制方法相比,在不同工况下,区间预测控制方法可较好的实现溶解氧浓度的动态稳定控制,具有较强的抗干扰能力与自适应性,且在保证出水水质的前提下能有效降低曝气能耗。
Aiming at the problem of difficult to control dissolved oxygen concentration and high energy consumption of aeration in sewage treatment system, a weighted interval forecasting control method based on bi-level optimization structure is proposed. In this method, a dynamic matrix control algorithm is firstly used to establish a forecast model of wastewater treatment process. Then, a two-layer target optimization control strategy is proposed, which combines dissolved oxygen interval control and aeration energy consumption index. At the same time, in order to reduce the model mismatch and interference factors, The impact of the use of model error prediction system feedback correction. The simulation results show that compared with the traditional PID control and model predictive control methods, the interval predictive control method can better achieve the dynamic stability control of dissolved oxygen concentration under different operating conditions, and has strong anti-interference ability and adaptability , And in ensuring the quality of effluent can effectively reduce the aeration energy consumption.