Title: Disturbance rejection decoupling control for a wastewater treatment process

Authors: Wei Wei; Xinyu Cai; Min Zuo

Addresses: School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China; School of Automation, Beijing University of Posts and Telecommunications, Beijing, China ' School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China ' School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China

Abstract: Concentrations of the dissolved oxygen (DO) and nitrate nitrogen (NN) directly affect the effluent quality. Keeping those concentrations in a desired level is crucial in a wastewater treatment process. However, numerous undesirable factors as well as couplings between DO and NN challenge keeping both DO and NN in a desired level. To achieve satisfactory performance, rather than model those issues accurately, but view them to be disturbances, a disturbance rejection control (DRC) is designed. By estimating and cancelling out those disturbances in real-time, couplings can be addressed effectively, and robustness of the closed-loop system is also promoted. Numerical results based on the benchmark simulation model no. 1 (BSM1) shows that the DRC is able to reject the disturbances and meet the control requirements satisfactorily. It may be a practical and feasible wastewater treatment process control approach.

Keywords: disturbance rejection control; DRC; dissolved oxygen; nitrate nitrogen; benchmark simulation model no. 1; BSM1; wastewater treatment processes.

DOI: 10.1504/IJMIC.2021.123377

International Journal of Modelling, Identification and Control, 2021 Vol.39 No.1, pp.39 - 50

Received: 15 Dec 2020
Accepted: 16 Feb 2021
Published online: 13 Jun 2022 *

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