基于免疫遗传算法的水轮机调速器PID参数优化  

The Application of Artificial Immune Genetic Algorithm in PID Parameter Optimization in Water Turbine Governor

作　　者：胡义[1] 王志[1] 

机构地区：[1]东北电力大学自动化工程学院,吉林吉林132012

出　　处：《装备制造技术》2009年第12期52-53,共2页Equipment Manufacturing Technology

摘　　要：采用免疫遗传算法优化水轮机调速器的参数,避免了根据经验公式不易获得最佳参数以及采用单纯形法和传统遗传算法易陷入局部最小值的缺陷,获得的调节参数优于采用传统遗传算法整定的调节参数,性能指标良好,同时仿真研究的结果表明,该优化搜索算法不依赖于参数的初值,寻优效率高,具有很强的鲁棒性。Water turbine governor is important for automatic control equipment of hydroelectric generator unit, The parameters of hydro generator take a important role in safe and reliable running. Using Artificial Immune genetic algorithm calculation the parameters on the turbine governor Kp , Ki , Kd to optimize the design. By simulink box simulation the results show that Artificial Immune genetic algorithm-based optimization of the PID parameter search is not dependent on the initial value parameters, optimizing efficiency has a strong robustness.

关 键 词：水轮机调速器 参数优化 免疫遗传算法 仿真 

分 类 号：TV734.4[水利工程—水利水电工程]