摘要
针对互联电力系统自动发电控制(AGC),结合模糊控制和遗传算法提出一种新型的PID智能控制器.这种控制器主要特点是选用遗传算法整定的PID参数值作为模糊自整定PID参数控制器的初值,然后再对模糊控制的相关参数用遗传算法优化,避免了参数选择的盲目性.仿真结果明显优于传统的PID控制器,同样也优于单独模糊PID控制器和由遗传算法寻优而设计的PID控制器.同时,在研究遗传算法寻优的过程中提出一种新的适应度选择方法.
A new PID intelligent controller is proposed,combined with fuzzy logic controls and genetic algorithms,for AGC of interconnected power systems.The character of the controller is that values of PID parameters adjusted by genetic algorithms are adopted as initial values of fuzzy self adjusting PID parameters.Then the related parameters of fuzzy control are optimized by genetic algorithms to avoid the blindness of selection of parameters.The simulating result shows that the new PID is better than traditional PID controller,fuzzy PID controller and genetic algorithms-optimized PID controller.At the same time,a new method of selection of fitness is also discussed in optimization.
出处
《鞍山科技大学学报》
2004年第3期216-220,共5页
Journal of Anshan University of Science and Technology
基金
国家自然科学基金资助项目(60074002)
辽宁省教育厅科研基金项目(202192057).
关键词
互联电力系统
PID控制器
模糊控制
遗传算法
interconnected power system
PID controller
fuzzy logic controller
genetic algorithms
