水轮发电机组GA模糊控制器研究  

STUDY ON GA-BASED FUZZY LOGIC CONTROLLERS FOR THE HYDRAULIC TURBINE GENERATOR SET

作　　者：付维圣[1] 刘昌玉[1] 张明雄[1] 

机构地区：[1]华中科技大学水电与数字化工程学院,湖北省武汉市430074

出　　处：《电力系统自动化》2003年第6期55-58,共4页Automation of Electric Power Systems

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.

关 键 词：水轮机调速器 模糊控制器 遗传算法 PID控制 

分 类 号：TM312[电气工程—电机] TP273[自动化与计算机技术—检测技术与自动化装置]