Dynamic multi-objective optimization and multi-units linear active disturbance rejection control for wastewater treatment processes

被引:10
作者
Liu, Wentao [1 ]
Xiong, Weili [1 ]
Chen, Hongtian [2 ]
机构
[1] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Wastewater treatment process; Multi-objective differential evolution; Linear active disturbance rejection control; Multi-strategy mutation; MODEL-PREDICTIVE CONTROL; ALGORITHM; OPERATION; SYSTEM;
D O I
10.1016/j.conengprac.2023.105650
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wastewater treatment processes (WWTPs) are complex nonlinear systems with strong nonlinearity among many treatment units and disturbances including weather conditions, uncertainties, and time-varying dynamics. This paper studies the multi-objective and multi-units linear active disturbance rejection control for WWTPs to lower the overall cost index and enhance the effluent quality index simultaneously. A multi-objective optimization method using the multi-strategy mutation and the adaptive mechanism is employed to dynamically optimize set points. Then, multiple-units linear active disturbance rejection controllers are designed to achieve tracking control for dissolved oxygen concentration (including 3-5 units) and nitrate level with unmeasurable distur-bances based on the optimal set points. The comparison experiments tested on the benchmark simulation model No. 1 demonstrate that the proposed method can improve the tracking performance and achieve a significant improvement in reducing the overall cost index and the effluent quality index.
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页数:12
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