基于遗传算法的水轮机调节系统最优参数整定

目前水轮机调节系统PID参数整定一般都是根据经验公式或现场反复试验获取,它往往不易获得最佳参数。文中应用遗传算法整定水轮机调节系统最优调节参数,避免了采用单纯形法容易陷入局部极小值的缺陷,且没有连续性和可微的限制,算法简单,同时,获得的调节参数优于根据传统公式整定的调节参数,性能指标良好,具有广泛的推广使用价值。

GA-BASED OPTIMAL PARAMETER SETTING FOR HYDROTURBINE GOVERING SYSTEM

In general, PID control algorithm remains the most popular approach to hydroturbine govering systems. The PID parameter setting is given by "a rule of thumb" or repeated tests, which can hardly yield optimal PID control parameters. This paper applies GA in optimizing the control parameters of a hydroturbine govering system, avoiding falling into partial minimum by the simplex method requiring continuity and differentiation. Compared with the traditional method, the method based on GA is simpler. Simulation results show that the performance of the PID control system is better than that of the adjustment parameters set by conventional formulae.