基于遗传算法的模型水轮机观察窗求解方法  

Solution method of model turbine observation window based on genetic algorithm

作　　者：刘永新[1] 

机构地区：[1]哈尔滨电机厂有限责任公司,哈尔滨150040

出　　处：《黑龙江科学》2016年第17期13-14,33,共3页Heilongjiang Science

摘　　要：为了解决模型水轮机观察窗结构尺寸求解困难的问题,笔者基于一种改进的遗传算法,利用V isual B asic和M A TLA B混合编程技术,开发结构设计软件求解观察窗的最优解,计算观察窗的结构尺寸。试验结果表明:基于遗传算法开发的模型水轮机观察窗设计软件,完全满足空化试验要求,提高了设计效率和准确性,减轻了设计人员的工作负担。In order to solve the problems of measuring structure size of model turbine observation window,Visual Basic and MATLAB mixed programming technology was used based on an improved genetic algorithm to develop optimum solution on observation window and compute its structure size.The results show that observation window design software of model turbine based on genetic algorithm can fully meet the requirements of cavitation tests,which improves design efficiency and reduces the workload of designers.

关 键 词：模型水轮机 空化试验 遗传算法 VISUAL Basic MATLAB 

分 类 号：TV734.1[水利工程—水利水电工程]