- 综合性科技类中文核心期刊
- 中国科技论文统计源期刊
- 中国科学引文数据库来源期刊
- 中国学术期刊文摘数据库（核心版）来源期刊
- 中国学术期刊综合评价数据库来源期刊
| Citation: |
ZHANG Lu, ZHANG Jiacheng, HAN Honggui, QIAO Junfei. Optimal Control for Municipal Wastewater Treatment Process Based on Dynamic Decomposed Multiobjective Particle Swarm Optimization[J]. Journal of Beijing University of Technology, 2021, 47(3): 239-245. DOI: 10.11936/bjutxb2019120023
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To realize the optimal operation of the performance indices in municipal wastewater treatment process (MWWTP), an optimal control based on dynamic decomposed multiobjective particle swarm optimization (OC-DDMOPSO) was proposed in this paper. First, the dynamic performance models were formulated by using the adaptive kernel functions, and the optimization objectives could be then obtained. Second, multiobjective particle swarm optimization algorithm based on the dynamic decomposed archive was developed, and the optimal set-points could be then derived. Third, a predictive control strategy was designed to trace the obtained optimal set-points, and the optimal control of MWWTP could be then realized. Finally, the proposed OC-DDMOPSO strategy was tested on the benchmark simulation model No.1. Results show that OC-DDMOPSO can not only facilitate the stable operation of MWWTP, but also guarantee the effluent qualities, as well as reduce the operation cost.
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