A novel control strategy is developed for a municipal wastewater treatment plant (WWTP) consisting of anaerobic-anoxic-aerobic reactors. The idea is to generate more organic matter with a reduction of nitrate concentration in the anoxic section so that more biological phosphorus (P) removal happens. For this, the Supervisory and Override Control Approach (SOPCA) is designed based on the benchmark simulation model (BSM1-P) and is evaluated by considering dynamic influent. In the supervisory layer, proportional integral (PI) and fuzzy controllers are designed. Additionally, dissolved oxygen (S_o) control loops in the aerobic reactors are designed. PI controller is designed for control of nitrate levels in the anoxic reactors and is integrated with override control and supervisory layer. It is found that the novel SOPCA approach gave better nutrient removal with slightly higher operating costs when S_o control is not put in place. With three S_o control loops in place, the WWTP showed better effluent quality and lower cost. Here, the improved removal efficiency of 28.5% and 20.5% are obtained when Fuzzy and PI control schemes respectively are used in the supervisory layer. Therefore, the application of SOPCA is recommended for a better P removal rate.

为由厌氧-缺氧-好氧反应器组成的城市污水处理厂 (WWTP) 开发了一种新的控制策略。这个想法是通过降低缺氧部分的硝酸盐浓度来产生更多的有机物质，以便进行更多的生物磷 (P) 去除。为此，基于基准模拟模型 (BSM1-P) 设计了监督和超驰控制方法 (SOPCA)，并通过考虑动态影响进行了评估。在监控层，设计了比例积分（PI）和模糊控制器。此外，溶解氧 (S _o) 设计好氧反应器中的控制回路。PI 控制器设计用于控制缺氧反应器中的硝酸盐含量，并与覆盖控制和监控层集成。发现当 S _o控制没有到位时，新的 SOPCA 方法可以更好地去除养分，但运行成本略高。有了三个 S _o控制回路，污水处理厂显示出更好的出水质量和更低的成本。在这里，当在监控层中分别使用模糊和 PI 控制方案时，获得了 28.5% 和 20.5% 的改进去除效率。因此，推荐使用 SOPCA 以获得更好的 P 去除率。