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

作　　者：杨原青 张建龙 王大勇 郑德聪[1] YANG Yuanqing;ZHANG Jianlong;WANG Dayong;ZHENG Decong(College of Agricultural Engineering,Shanxi Agricultural University,Jizhong Shanxi 030801,China;Lanto Automotive Technology Co.,Ltd.,Wuhan Hubei 430000,China)

机构地区：[1]山西农业大学农业工程学院,山西晋中030801 [2]岚图汽车科技有限公司,湖北武汉430000

出　　处：《农业工程》2022年第1期91-96,共6页AGRICULTURAL ENGINEERING

基　　金：山西农业大学青年科技创新项目(2020QC08);山西省重点研发计划(重点项目)(201903D211005);国家现代农业产业技术体系项目(CARS-07-D-2)。

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。Aiming at problems of large total mass, low fatigue strength and poor shift ride comfort of 404 P 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 404 P type hilly tractor was further improved.

关 键 词：多目标优化 丘陵山地拖拉机 传动性能 非支配排序遗传算法 

分 类 号：S219.5[农业科学—农业机械化工程]