水轮机系统的控制器整定研究

Study on Tuning Controller for Water Turbine System

控制器参数的整定是控制工程中的重要研究课题之一。为克服经验公式方法的模型依赖性和遗传算法易早熟收敛的缺点 ,进一步提高算法优化性能 ,改善控制品质 ,将遗传算法的并行搜索结构和模拟退火的可控性概率突跳特性合理融合 ,构造高效混合策略 ,并有效地解决了水轮机系统的控制器整定。

Tuning parameters for controllers is one of the crucial issues in control engineering. To avoid the model dependence of tuning formulae and the premature convergence of genetic algorithm,and to improve optimizing and controlling performances,an effective hybrid strategy for tuning parameters is proposed which reasonably combining the parallel structure of genetic algorithm with the controllable jumping property of simulated annealing. Furthermore,the controller for water turbine system is well tuned by hybrid strategy and good performances are achieved.