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基于均匀分布NSGAII算法的污水处理多目标优化控制

李霏 杨翠丽 李文静 乔俊飞

化工学报2019,Vol.70Issue(5):1868-1878,11.
化工学报2019,Vol.70Issue(5):1868-1878,11.DOI:10.11949/j.issn.0438-1157.20181530

基于均匀分布NSGAII算法的污水处理多目标优化控制

Optimal control of wastewater treatment process using NSGAII algorithm based on multi-objective uniform distribution

李霏 1杨翠丽 2李文静 1乔俊飞2

作者信息

  • 1. 北京工业大学信息学部,北京100124
  • 2. 计算智能和智能系统北京市重点实验室,北京100124
  • 折叠

摘要

Abstract

Aiming at the problems of excessive energy consumption (EC) and exceeded seriously effluent quality (EQ) in wastewater treatment control process, an optimal control of wastewater treatment process using a multi-objective uniform distribution NSGAII algorithm (UDNSGAII) was proposed. Firstly, EC and EQ of wastewater treatment are regarded as optimization objectives, and the multi-objective optimal control model is established. Secondly, to obtain the optimal set values of dissolved oxygen (DO) and nitrate nitrogen (NO), and improve the performance of Pareto solution, the individuals which have been clustered are mapped to the hyperplane of the corresponding objective function, then, the diversity of population is increased. In addition, the distribution judgment module and distributed enhancement module are used to improve the distribution of solutions. Finally, PID controller as the bottom controller is used to track the optimal setting value of DO and NO. To test the effectiveness of the proposed algorithm, benchmark simulation model No. 1 (BSM1) is used. The results show that the proposed UDNSGAII multi-objective optimization control method can effectively reduce EC of wastewater treatment process while meeting EQ standards.

关键词

污水处理过程/均匀分布/遗传算法/优化/控制

Key words

wastewater treatment process/uniform distribution/genetic algorithm/optimal/control

分类

化学化工

引用本文复制引用

李霏,杨翠丽,李文静,乔俊飞..基于均匀分布NSGAII算法的污水处理多目标优化控制[J].化工学报,2019,70(5):1868-1878,11.

基金项目

国家自然科学基金项目(61533002,61603012,61603009) (61533002,61603012,61603009)

北京市教委项目(KM201710005025) (KM201710005025)

北京市博士后工作经费资助项目 ()

化工学报

OA北大核心CSCDCSTPCD

0438-1157

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