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Journal of System Simulation

Abstract

Abstract: In order to solve the problems of excessive energy consumption and excessive effluent quality in wastewater treatment process control, an intelligent control system based on adaptive immune optimization (AIOIC) is proposed. A hierarchical control strategy is designed, and a fast online self-organizing fuzzy neural network based on singular value decomposition (SVDFNN) is used to construct the mathematical model of wastewater treatment energy consumption and effluent quality. In order to obtain the optimal set values of dissolved oxygen and nitrate nitrogen, an adaptive hybrid evolutionary immune optimization algorithm is designed. The self-organizing recursive fuzzy neural network controller is used to track this optimal set points at the bottom layer. The results show that the proposed immune optimization intelligent control strategy can not only meet the effluent quality standard, but also significantly reduce the energy consumption of wastewater treatment process.

First Page

3012

Revised Date

2021-08-14

Last Page

3020

CLC

TP273+.4A;TP391

Recommended Citation

Li Fei, Su Zhong. Intelligent Control of Wastewater Treatment Processes Based on Adaptive Immune Optimization[J]. Journal of System Simulation, 2021, 33(12): 3012-3020.

DOI

10.16182/j.issn1004731x.joss.21-FZ0821E

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