摘要
压水反应堆的控制特性和运行方式非常复杂、难于解析,为了克服传统控制理论应用于设计时的局限性,在将反应堆功率控制推广为最优化问题的基础上,提出了完全基于智能方法的广义智能控制器,并采用T-S模糊模型和粒子群优化算法设计实现。多种典型工况仿真下其控制性能优于现有PID控制器,且能够在线计算和自校正,说明了该广义智能控制器的可行性和有效性。
The control characteristic and operation of pressurized water reactor is complex and difficult to analyse. To overcome the design limitations of traditional control theory, a generalized intelligent controller is proposed and realized by the design of the T-S fuzzy model and the particle swarm optimization algorithm. Its control performance excelled the applied PID controller in multiple simulations of the typical operations in addition with online and self-adjusting ability, which suggests feasible and effective.
作者
廖龙涛
陈智
赵梦薇
LIAO Longtao;CHEN Zhi;ZHAO Mengwei(Key Laboratory of Nuclear Reactor System Design Technology, Chengdu 610213, Chirm)
出处
《自动化与仪器仪表》
2019年第4期229-232,共4页
Automation & Instrumentation
关键词
反应堆功率控制
最优化
智能控制
模糊模型
粒子群
reactor power control
optimization
intelligent control
fuzzy model
particle swarm