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DU Shengli, ZHANG Qingda, CAO Boqi, QIAO Junfei. A Review of Model Predictive Control for Urban Wastewater Treatment Process[J]. INFORMATION AND CONTROL, 2022, 51(1): 41-53. DOI: 10.13976/j.cnki.xk.2022.0101
Citation: DU Shengli, ZHANG Qingda, CAO Boqi, QIAO Junfei. A Review of Model Predictive Control for Urban Wastewater Treatment Process[J]. INFORMATION AND CONTROL, 2022, 51(1): 41-53. DOI: 10.13976/j.cnki.xk.2022.0101
shu

A Review of Model Predictive Control for Urban Wastewater Treatment Process

  • 1.

    Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China

  • 2.

    Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing 100124, China

More Information
  • Received Date: April 05, 2021
  • Revised Date: September 16, 2021
  • Accepted Date: June 01, 2021
  • Available Online: December 01, 2022
  • Published Date: February 19, 2022
    Graphical Abstract
    • Abstract

  • Nonlinearities, uncertainties, and complex biochemical reactions are the main characteristics of the urban wastewater treatment process. It is challenging to ensure that the effluent water quality within the specified range is subject to strong interferences such as the flow of influent water, the composition of the influent water and weather changes. Model predictive control has been widely used in urban wastewater treatment in recent years due to its advantages of solving nonlinear system and problems with explict constraints. This study introduces the reasearch status of model predictive control method in urban wastewater treatment process based on mechanism model and data-driven, and elaborated the control effect under different models and control variables. Finally, problems that still need to be solved in the urban wastewater treatment process are presented. Future research directions of the model predictive control in the urban wastewater treatment process control are suggested.

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