Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2023 , Vol. 57 >Issue 1: 116 - 126

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2021.235

Mechanical Engineering

Application of Adaptive Fuzzy Nonlinear Control with Variable Universe in Liquid Level Control of Steam Generator

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  • 1. College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
    2. Shanghai Key Laboratory of Power Station Automation Technology, Shanghai 200090, China

Received date: 2021-07-01

  Revised date: 2021-08-17

  Online published: 2022-08-11

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Abstract

Aimed at the important position of the steam generator liquid level control system in maintaining the safe and efficient operation of the power plant in the PWR nuclear power plant, and the fact that there exist strong nonlinear characteristics in the controlled object of the steam generator liquid level under different load sections and changing conditions, this paper proposes a fuzzy control algorithm with the adaptive variable universe function. Based on the general fuzzy control algorithm, the Lyapunov function is constructed through the nonlinear system model, and the optimal adaptive expansion factor is solved based on the ideal control law, and Lyapunov theorem is used to prove the stability of the control system. The simulation results show that the fuzzy control with adaptive variable universe function can better effectively control the liquid level of the steam generator under different working conditions and variable working conditions than the traditional proportional integral (PI) control and fuzzy PI control. The problem of controller overrun is solved, and the system has a better robustness.

Key words： steam generator; level control; variable universe algorithm; fuzzy control

Cite this article

QIAN Hong, ZOU Mingyao . Application of Adaptive Fuzzy Nonlinear Control with Variable Universe in Liquid Level Control of Steam Generator[J]. Journal of Shanghai Jiaotong University, 2023 , 57(1) : 116 -126 . DOI: 10.16183/j.cnki.jsjtu.2021.235

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