基于实数型遗传算法的水轮机调节系统设计优化

Design optimization of turbine regulating system based on real coded genetic algorithm

遗传算法(GA)是一种模仿生物进化过程的随机全局搜索方法,它借鉴了生物界的自然选择和遗传学上的迭代自适应性。提出了一种基于实数型遗传算法的水轮机调节系统的PID参数优化设计,与常规PID整定方法相比,具有简便精确的特点,避免了根据传统方法整定不出最优参数,及单纯形法容易陷入局部最小值的缺点。用实数型遗传算法整定出来的PID参数,超调量小,时间迅速,具有良好的性能指标。

Genetic algorithm is a stochastic global search method that simulates biological evolution and draws upon biological natural selection and genetic adaptive iteration. An optimized design of PID controller parameters of the turbine regulating system based on real coded genetic algorithm is proposed. Compared with the conventional PID parameter tuning methods, the real coded genetic algorithm is more convenient and accurate in that it overcomes the defects that conventional methods are unable to work out the optimal parameters and that the simplex algorithm could cause a local minimum. PID parameters tuning by real coded ge-netic algorithm has the advantages of small overshoot and high speed, which contributes to the good performance of the turbine regulating system.