吉林大学学报(工学版) ›› 2011, Vol. 41 ›› Issue (增刊1): 280-284.

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Predictive control for wastewater treatment process based on neural network

PANG Ze-fang, HAN Hong-gui, QIAO Jun-fei   

  1. College of Electronic and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • Received:2010-02-13 Online:2011-09-01 Published:2011-09-01

Abstract:

A new multi-objective predictive control system based on the neural network was proposed for activated sludge wastewater treatment process.Both the dissolved oxygen level in the fifth compartment and the nitrate level in the second anoxic tank were controlled in the benchmark simulation model No.1(BSM1).The control system mainly consists of two parts:one part is the identifier used to predict the outputs of the object;another part is the controller applied to control the variables of the system.The simulation results demonstrate the proposed control system owning better adaptability and greater robustness.

Key words: neural network predictive control, wastewater treatment, dissolved Oxygen, nitrate

CLC Number: 

  • TP183


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