Performance Assessment of Model Predictive Control in an Anaerobic-Anoxic-Oxic Process

A cascade model predictive control (MPC) strategy is proposed to improve the control performance of the combined biological phosphorus and nitrogen removal in the anaerobic-anoxic-oxic (AAO) process. Owning the features of determining the capability of the current controller and locating the best achievable control performance, the control performance assessment technique (CPA) is used to determine the optimal tuning parameters of the cascade MPC controller. The plant performance of the proposed cascade controller is superior to the conventional decentralized controller in the AAO process. An improved performance of the suggested cascade MPC controller was obtained by using the CPA approach.