基于遗传算法的模糊PID控制在水轮发电机组中应用研究  

Application of Fuzzy PID control System based on GA in hydraulic turbine Generating Units

作　　者：王淑青[1] 刘素一[2] 张子蓬[3] 袁晓辉[3] 

机构地区：[1]湖北工业大学电气与电子学院,430068 [2]武汉科技学院电子信息工程学院,430073 [3]华中科技大学水电与数字化学院,430074

出　　处：《微计算机信息》2006年第02S期62-63,259,共3页Control & Automation

基　　金：国家自然科学基金资助项目(编号:50409010)

摘　　要：水轮发电机组系统是一复杂的系统,常规PID控制很难满足高性能控制要求,本文设计了一自适应模糊PID控制器,模糊推理系统可在线整定PID参数,模糊控制系统的隶属函数和推理规则采用遗传算法优化。仿真实验表明这是一种有效的控制策略,尤其在启停机过程及负载扰动过程较传统PID控制具有更好的鲁棒性和稳定性。Water turbine generating unit is a complicated system and it is difficult for PID controller to meet the demand of modem control. In order to overcome the shortcoming of the conventional hydraulic turbine PID governor, a new self-tuning fuzzy PID control method is proposed. The output of fuzzy reasoning can adjust PID parameter in the process of control. Genetic algorithms are used to optimize the parameters and rules of fuzzy reasoning system. Simulation results show that is better than traditional PID control strategy, which has good dynamic character and stabilization.

关 键 词：PID控制 模糊推理 水轮发电机 遗传算法 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]