基于遗传算法的水轮机调节系统 PID参数优化整定

应用基于实数编码的遗传算法，在整定水轮机调节系统最优调节参数的同时，进行遗传算子的设计，避免了根据经验公式不易获得最佳参数以及采用单纯形法易陷入局部最小值的缺陷，有效地解决了传统遗传算法中海明悬崖、计算精度等问题．由此获得的调节参数优于传统公式整定的调节参数，性能指标良好．

Optimal PID parameter setting based on genetic algorithm for hydroturbine govering system

The genetic algorithm coded with real number is applied to optimize the control parameters of a hydroturbine govering system, while the genetic operator is designed; with which the defects of the optimal parameters being hard to get by empirical formulae and being easy to fall into partial minimum by the simplex method are avoided along with solving the problems that exist in the binary system, such as Hamming Cliff, computing precision,etc.The result shows that the performance of the PID control system is better than that of the adjustment parameters set by conventional formulae.