摘要
针对目前使用遗传算法优化水轮机调速器参数存在寻优效率较低这一问题,提出了一种用模糊遗传算法优化水轮机调速器参数的新方法。通过引入自适应变化的变异概率和交叉概率,改善了遗传算法的寻优效率,并提出了分段加权的目标函数以改善水轮机调速器的反冲影响。仿真结果表明,模糊遗传算法寻优效率较简单遗传算法有了大幅提高,具有很强的鲁棒性。
The searching efficiency is low when genetic algorithm is used to optimize the parameters of the hydroturbine governor. In this paper, a new way to optimize the parameters of hydro turbine governor with fuzzygenetic algorithm is presented. The searching efficiency can be ameliorated by ushering in selfalterable intercross probability and mutation probability. In addition,an object function with weighted sections is advanced to improve the undershoot of hydroturbine governor. The simulation result suggests that the fuzzygenetic algorithm for searching efficiency is greatly ameliorated in comparison with the simple genetic algorithm,but it is characterized by strong robustness.
出处
《西安理工大学学报》
CAS
2003年第3期206-211,共6页
Journal of Xi'an University of Technology
关键词
水轮机调速器
参数优化
模糊遗传算法
hydro-turbine governor
parameter optimization
fuzzy-genetic algorithm
