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Author:

He, Hai-Jun (He, Hai-Jun.) | Meng, Xi (Meng, Xi.) | Tang, Jian (Tang, Jian.) | Qiao, Jun-Fei (Qiao, Jun-Fei.)

Indexed by:

EI Scopus

Abstract:

To solve the problem of low accuracy and frequent controller updates in the furnace temperature control of municipal solid waste incineration process, a novel method of furnace temperature control method based on the event-triggered mechanism RBF–PID (ET–RBF–PID) is proposed. Firstly, the RBF–PID controller is constructed, the network parameters are updated by gradient descent algorithm and recursive least squares algorithm. At the same time, the square of momentum factor and the momentum term of parameters are introduced to update the controller parameters, so as to improve the control accuracy. Secondly, a fixed threshold event-triggered condition is designed as the controller update condition to reduce the mechanical wear caused by frequent controller updates. Finally, the furnace temperature control simulation experiments are conducted based on the actual data of a municipal solid waste incineration plant in Beijing. The experimental results show that the designed ET–RBF–PID controller can accurately track the furnace temperature, the ET–RBF–PID controller can reduce the number of controller updates significantly while achieving accurate furnace temperature control compared with the traditional time-triggered PID controller and RBF–PID controller. © 2022 South China University of Technology. All rights reserved.

Keyword:

Proportional control systems Waste treatment Temperature Waste incineration Radial basis function networks Municipal solid waste Temperature control Furnaces Controllers Gradient methods Three term control systems

Author Community:

  • [ 1 ] [He, Hai-Jun]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [He, Hai-Jun]Beijing Laboratory of Smart Environmental Protection, Beijing; 100124, China
  • [ 3 ] [He, Hai-Jun]Xi’an Institute of Electromechanical Information Technology, Xi’an; 710065, China
  • [ 4 ] [Meng, Xi]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Meng, Xi]Beijing Laboratory of Smart Environmental Protection, Beijing; 100124, China
  • [ 6 ] [Tang, Jian]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 7 ] [Tang, Jian]Beijing Laboratory of Smart Environmental Protection, Beijing; 100124, China
  • [ 8 ] [Qiao, Jun-Fei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 9 ] [Qiao, Jun-Fei]Beijing Laboratory of Smart Environmental Protection, Beijing; 100124, China

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Source :

Control Theory and Applications

ISSN: 1000-8152

Year: 2022

Issue: 12

Volume: 39

Page: 2262-2273

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 13

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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