基于遗传算法扶梯驱动机模糊可靠性优化设计  

Fuzzy Reliability Optimal Design with Genetic Algorithms on the Escalator Driver

作　　者：常林枫[1] 王薇[2] 

机构地区：[1]天津大学机械工程学院,天津300072 [2]天津师范大学数学系,天津300074

出　　处：《天津大学学报（自然科学与工程技术版）》2005年第2期137-140,共4页Journal of Tianjin University：Science and Technology

基　　金：国家自然科学基金资助项目(59775007).

摘　　要：应用啮合理论和模糊可靠性优化理论,以自动扶梯驱动机主传动机构中蜗杆传动的效率及中心距为目标函数,选取必要的设计参数,并使用改进的遗传算法,对驱动机中的蜗杆传动进行模糊可靠性优化设计.结果表明,该算法具有较强的全局收敛性,且收敛速度和稳定性有所提高,与传统设计方法相比,蜗杆减速器的中心距下降了30. 400,蜗杆的相对滑动速度下降了 10. 1200,综合曲率半径增大了 17. 3400.By applying theory of meshing and theories of fuzzy and reliability optimization, taking efficiency of worm drive and distance of two worm axle centers on escalator driver as objective function, choosing essential designing variables, this paper carried out a multi-objective fuzzy and reliability optimal design on escalator driver worm drive with an improved genetic algorithm. The results show that the algorithm has stronger whole convergence, rapid convergence rate and better stability. Compared with the traditional design method, the axle centre to centre distance of worm retarder drops 30.4~0_0, and the comparative sleek rate of worm reduces (10.12~0_0,) and the integrative curvature radius increases 17.34~0_0.

关 键 词：可靠性优化设计 驱动机 模糊变量 遗传算法 

分 类 号：TH132.44[机械工程—机械制造及自动化]