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 At present, PID tuning of turbine governing system is generally based on empirical formula or field trial and error, it is often difficult to obtain the best parameters. In this paper, genetic algorithm is used to adjust the optimal regulation parameters of hydraulic turbine control system, which avoids the defect that simplex method is easy to fall into local minima, and has no limitation and differentiable limitation. The algorithm is simple and the obtained control parameters are superior to those based on Adjustment parameters of the traditional formula tuning, good performance indicators, with a wide range of promotional value