摘要
针对采用基本遗传算法优化水轮机PID调速器参数时适应度函数单一、遗传操作简单化等缺点,提出一种新的基于改进遗传算法的参数优化方法。该方法结合现场调节经验,针对每个参数对过渡过程的不同影响设计不同的适应度函数。仿真证明,该算法获得的调节参数优于根据基本遗传算法及传统经验公式整定的调节参数,性能指标良好。
In order to overcome the shortcomings such as fitness function single ,genetic manipulation simplify when use SGA to optimize parameters of hydraulic turbine PID governor,apply a new method of optimizing the parameters based on IGA in this paper. This method combines live experience and design different fitness function for each parameter based on their different influence for transient process. Simulation results show that the parameters optimized by the IGA are better than by SGA or by empirical formula.
出处
《微计算机信息》
2009年第34期64-66,共3页
Control & Automation
关键词
水轮机调速器
遗传算法
PID控制
参数优化
hydraulic turbine governor
genetic algorithm （GA）
PID control
parameter optimization
