基于遗传算法的AT换挡元件方案优选

基于对液力自动变速器(AT,Automatic Transmission)的行星齿轮机构和换挡元件方案的运动学分析,提出了一种可实现换挡元件方案自动优选的智能算法.该方法不同于传统的方案设计方法,采用遗传算法来优化行星齿轮机构的特性参数,并根据换挡元件闭合顺序给出相应方案的偏移值,提出了换挡元件方案优选算法的适应度函数,实现了传动比优化和换挡元件闭合有序化的同步设计,从而缩短方案设计周期.基于MATLAB运算平台,实现了对ZF-8AT的换挡元件方案的优选,得到了3组最优换挡元件方案.结果表明,该算法有效地实现换挡元件方案设计.

Selection of shifting element design based on genetic algorithm

Based on the kinematic analysis of planetary gear mechanism and shifting element, an intelligent algorithm applied for selection of the shifting element design of automatic transmission was presented. Unlike traditional design methods, the characteristic parameters of the planetary gear mechanism were optimized based on genetic algorithm. According to the condition of the shifting logical, the offset value of the design was defined, and the fitness function of the shifting element design optimal algorithm was constructed. This method took the ratio sequence and shifting logical into account at the same time to shorten the design cycle. Based on MATLAB, selection of the shifting element design of ZF-8AT was realized and 3 optimal shifting element designs were obtained. The results demonstrate that the selection algorithm proposed is effectively able to realize shifting element design.