用遗传算法构造压水堆核电站稳压器模糊控制规则库

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基金项目:

国家自然科学基金资助(60174015)

Establishment of Rule Base for PWR Pressurizer Fuzzy Controller by Genetic Algorithm

1. Department of Engineering Physics, Tsinghua University, Beijing, 100084, China;
2. Department of Automation, Tsinghua University, Beijing, 100084, China

摘要: 介绍了一种自动构造模糊控制规则库的方法。根据传统基于比例积分控制(PID)控制系统的运行数据,自动生成模糊控制规则库采用遗传算法;并用该方法构造了压水堆核电站稳压器的压力模糊控制系统的规则库。仿真结果表明,与传统PID控制器相比,采用遗传算法自动生成规则库的模糊控制器具有超调量小、响应速度快、瞬态过程更平稳的特点。
- 压水堆 /
- 稳压器 /
- 模糊控制 /
- 遗传算法 /
- 规则库
Abstract: A method to establish the fuzzy rule base automatically is described in this paper. According to the data produced by PID control system, a genetic algorithm is used to establish the fuzzy rule base automatically. This method is applied to the PWR pressurizer fuzzy control system. The simulation result shows that this fuzzy control system is with good performances:less overshoot, faster response and more stable transient.
- PWR /
- Pressurizer /
- Fuzzy Control /
- Genetic algorithm /
- Rule Base