摘要
模糊控制器设计的困难之一就是确定量化因子和隶属度函数 ,它们对控制器性能具有重要影响。文中提出用遗传算法 ( GA)对水轮发电机组模糊控制器进行优化设计 ,描述了控制器结构、优化算法和动态仿真结果。仿真对比试验表明 ,经过 GA优化的模糊控制器比经过 MATLAB NCD工具箱优化的
One of the difficulties in designing a fuzzy logic controller is how to specify quantified factors and membership functions, which is vital to the performance of the controller. The genetic algorithm (GA) is proposed to optimize the fuzzy logic controller for the hydraulic turbine generator set. The structure of the controller, the optimization algorithm and the dynamic simulation results are presented. The simulation results of the PID controller optimized by NCD toolbox in MATLAB are also presented for comparison. The simulation results show that the dynamic performance and the robustness of a GA-based fuzzy logic controller for the hydraulic turbine generator set are better than those of an optimized PID controller.
出处
《电力系统自动化》
EI
CSCD
北大核心
2003年第6期55-58,共4页
Automation of Electric Power Systems
关键词
水轮机调速器
模糊控制器
遗传算法
PID控制
Computer simulation
Control systems
Electric generators
Fuzzy control
Genetic algorithms
Optimization
