摘要
针对水轮机调节系统常规PID控制参数不能根据系统的动态过程自动调整控制参数的问题,结合遗传算法与模糊PID控制,用遗传算法优化模糊自适应PID控制的模糊规则,利用模糊推理的方法求解PID参数的变化量,对PID参数进行自动整定。同时针对遗传算法寻优生成的模糊规则存在跳变和规则曲面粗糙等缺陷,在目标函数中引入光滑因子,有效解决了模糊规则跳变现象。仿真表明,该方法是寻找水轮机调节系统模糊自适应PID控制规则的一种可行方法。
In order to overcome the shortcoming of the general hydraulic turbine PID governor, the genetic algorithm combined with the fuzzy PID is used to optimize the fuzzy reasoning rules, and the fuzzy reasoning system is used to calculate the varying value of PID parameters for automatical modulation of PID parameters. In order to resolve the irregularity between the optimized rules and the coarseness of fuzzy rules' surface, a smoothness factor is applied to the objective function. The simulation result shows that this method is valid for seeking hydraulic turbine fuzzy PID governor's fuzzy rules.
出处
《水电自动化与大坝监测》
2005年第2期5-9,共5页
HYDROPOWER AUTOMATION AND DAM MONITORING
关键词
水轮机调节系统
遗传算法
模糊控制
PID控制
光滑因子
water turbine governing system
genetic algorithm
fuzzy control
PID control
smoothness factor
