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作者:

Chen, Dingyuan (Chen, Dingyuan.) | Yang, Cuili (Yang, Cuili.) | Li, Dapeng (Li, Dapeng.) | Qiao, Junfei (Qiao, Junfei.)

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EI Scopus SCIE

摘要:

Recently, the wastewater treatment process has become an effective tool to improve the ecological environment. Due to the inevitable actuator faults, the load capacity of the equipment and the purification efficiency of the wastewater are reduced. How to improve the purification and economic efficiency is a huge challenge. Therefore, a prescribed performance-based fault-tolerant optimal control method with multivariable is designed in this article. First, the error transformation function-based prescribed performance is introduced to achieve stable tracking control. Second, the fault approximation based adaptive control method is used to solve the problem of unavoidable actuator faults. Subsequently, the multivariable optimal controller is structured to guarantee the control accuracy and equipment energy consumption simultaneously. Finally, the steady state and transient performance are analyzed and the optimality is verified by some experiments.

关键词:

Fuzzy neural networks Actuators Optimal control optimal control wastewater treatment process prescribed performance Fuzzy control Fault tolerance Fault tolerant systems Process control Actuator faults

作者机构:

  • [ 1 ] [Chen, Dingyuan]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Sch Informat Sci & Technol, Beijing Lab Intelligent Environm Protect, Beijing 100124, Peoples R China
  • [ 2 ] [Yang, Cuili]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Sch Informat Sci & Technol, Beijing Lab Intelligent Environm Protect, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Dapeng]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Sch Informat Sci & Technol, Beijing Lab Intelligent Environm Protect, Beijing 100124, Peoples R China
  • [ 4 ] [Qiao, Junfei]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Sch Informat Sci & Technol, Beijing Lab Intelligent Environm Protect, Beijing 100124, Peoples R China

通讯作者信息:

  • [Qiao, Junfei]Beijing Univ Technol, Beijing Inst Artificial Intelligence, Sch Informat Sci & Technol, Beijing Lab Intelligent Environm Protect, Beijing 100124, Peoples R China;;

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来源 :

IEEE TRANSACTIONS ON FUZZY SYSTEMS

ISSN: 1063-6706

年份: 2024

期: 11

卷: 32

页码: 6548-6559

1 1 . 9 0 0

JCR@2022

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SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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