中国农业机械化科学研究院集团有限公司 主管

北京卓众出版有限公司 主办

基于多目标遗传算法的404P型拖拉机齿轮系优化

Gear Train Optimization of 404P Tractor Based on Multi-objective Genetic Algorithm

  • 摘要: 针对404P型拖拉机变速箱齿轮系存在的齿轮总质量大、疲劳强度低、换挡平顺性较差的问题,建立了以变速箱齿轮系总质量最小、疲劳强度最高、换挡平顺性最高为优化目标的齿轮系多目标参数优化数学模型。提出利用带精英策略的非支配排序遗传算法(NSGA-II)进行多目标优化求解。基于Matlab优化工具箱编写程序进行齿轮系参数的优化设计,结果表明,齿轮系总质量优化率差值为187.30%,齿轮系疲劳强度优化率差值为85.27%,齿轮系换挡平顺性优化率差值为9.09%。相比于传统经验设计,进一步提高了404P型丘陵山地拖拉机的变速箱传动性能。

     

    Abstract: Aiming at problems of large total mass,low fatigue strength and poor shift ride comfort of 404P tractor gearbox gear train,a multi-objective parameter optimization mathematical model of gear train was established,which took the minimum gear total mass,the highest fatigue strength and the highest shift ride comfort as optimization objectives.A multi-objective optimization method based on NSGA-II with elite strategy was proposed.Optimization design of gear train parameters was carried out based on Matlab optimization toolbox.Results showed that difference of optimization rate for gear train mass was 187.30%,difference of optimization rate for gear train fatigue strength was 85.27%,and difference of optimization rate for gear train shift ride comfort was 9.09%.Compared with traditional experience design,transmission performance of 404P type hilly tractor was further improved.

     

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