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Author:

Li, Fei (Li, Fei.) | Yang, Cuili (Yang, Cuili.) | Li, Wenjing (Li, Wenjing.) | Qiao, Junfei (Qiao, Junfei.) (Scholars:乔俊飞)

Indexed by:

EI PKU CSCD

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. © All Right Reserved.

Keyword:

Wastewater treatment Water quality Effluents Effluent treatment Genetic algorithms Control engineering Dissolved oxygen Reclamation Three term control systems Process control Controllers Multiobjective optimization Energy utilization

Author Community:

  • [ 1 ] [Li, Fei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Li, Fei]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 3 ] [Yang, Cuili]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Yang, Cuili]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 5 ] [Li, Wenjing]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Li, Wenjing]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China
  • [ 7 ] [Qiao, Junfei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 8 ] [Qiao, Junfei]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing; 100124, China

Reprint Author's Address:

  • 乔俊飞

    [qiao, junfei]beijing key laboratory of computational intelligence and intelligent system, beijing; 100124, china;;[qiao, junfei]faculty of information technology, beijing university of technology, beijing; 100124, china

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Source :

CIESC Journal

ISSN: 0438-1157

Year: 2019

Issue: 5

Volume: 70

Page: 1868-1878

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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