变论域自适应模糊非线性控制在蒸汽发生器液位控制中的应用
收稿日期: 2021-07-01
修回日期: 2021-08-17
网络出版日期: 2022-08-11
基金资助
上海市自然科学基金资助项目(19ZR1420700)
Application of Adaptive Fuzzy Nonlinear Control with Variable Universe in Liquid Level Control of Steam Generator
Received date: 2021-07-01
Revised date: 2021-08-17
Online published: 2022-08-11
针对蒸汽发生器液位控制系统在压水堆核电站中维护电厂安全和高效运行的重要地位,而蒸汽发生器液位被控对象在不同负荷段及变动工况下呈现出的非线性特性,提出一种具有变论域自适应功能的模糊控制算法,在一般模糊控制算法基础上,通过非线性系统模型构造Lyapunov函数,基于理想控制律求解最优自适应伸缩因子,并利用Lyapunov定理证明了该控制系统的稳定性.仿真结果表明,相较于传统比例-积分(PI)控制与模糊PI控制,具有变论域自适应功能的模糊控制能够更好地对不同工况段和变工况下蒸汽发生器的液位进行有效控制,解决了控制器超限的问题,且系统具有更好的鲁棒性.
钱虹, 邹明耀 . 变论域自适应模糊非线性控制在蒸汽发生器液位控制中的应用[J]. 上海交通大学学报, 2023 , 57(1) : 116 -126 . DOI: 10.16183/j.cnki.jsjtu.2021.235
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
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