Journal of Shanghai Jiaotong University ›› 2020, Vol. 54 ›› Issue (9): 916-923.doi: 10.16183/j.cnki.jsjtu.2020.170

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Optimal Control of Effluent Ammonia Nitrogen for Municipal Wastewater Treatment Process

HAN Honggui(), YANG Shiheng, ZHANG Lu, QIAO Junfei   

  1. Faculty of Information Technology; Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing 100124, China
  • Received:2019-07-30 Online:2020-09-28 Published:2020-10-10

Abstract:

To improve the treatment effect of effluent ammonia nitrogen in municipal wastewater treatment process, an optimal control method was proposed in this paper. First, the performance index of effluent ammonia nitrogen concentration was analyzed by using the mechanism characteristics. Then, a relationship model with the adaptive kernel function between the performance index and the control variables was established. Next, a particle swarm optimization algorithm was used to obtain the optimal solutions of dissolved oxygen concentration. After that, an adaptive fuzzy neural network controller was designed to complete the tracking control of dissolved oxygen concentration. Finally, the proposed optimal control method was applied to the benchmark simulation model No.1 (BSM1). The results demonstrated that the proposed optimal control method can not only improve the treatment effect of effluent ammonia nitrogen, but also effectively reduce the energy consumption.

Key words: municipal wastewater treatment process, effluent ammonia nitrogen, optimal control, adaptive fuzzy neural network controller

CLC Number: