Water level control of steam generator in nuclear power plant based on intelligent MFAC-PID

Yonglu Du, Haotian Li, Minrui Fei, Ling Wang, Pinggai Zhang, Wanqing Zhao

Research output: Contribution to conferencePaperpeer-review

Abstract

As an indispensable key equipment in nuclear power plants, the water level control of steam generators directly affects the quality of exported steam, which is critical to the safe operation of nuclear power plant units. The controlled object, water level control system often has the characteristics of time lag, inertia and time-varying, and it is difficult to achieve the desired control effect using the classical control method. To solve the above problem, this paper proposes an intelligent model-free adaptive control and PID (IMFAC-PIDA) approach, in which an improved MFAC controller is designed to enhance the performance of the system, and the adaptive simplified human learning optimization (ASHLO) algorithm is used to optimize the parameter of the designed controller. Finally, the simulation experiments show that the proposed IMFAC-PIDA significantly outperforms other four control approaches.
Original languageEnglish
Pages2549-2554
Number of pages6
DOIs
Publication statusPublished - 6 Oct 2021
Event2021 40th Chinese Control Conference (CCC) - Shanghai, China
Duration: 26 Jul 202128 Jul 2021

Conference

Conference2021 40th Chinese Control Conference (CCC)
Period26/07/2128/07/21

Keywords

  • Data-driven
  • Human learning optimization
  • Model-free adaptive control
  • Steam generator
  • Water level control

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