摘要
为提升设备在狭小空间的作业能力以及林间坡地通过性,以最小化举升机构驱动力矩以及横向尺寸、最大化设备接近角为优化目标,基于可支配排序多目标遗传算法(NSGA-II)求解关于机构各结构参数的Pareto前沿解集,随后利用Min-Max标准化算法计算前沿解集中的最优解。仿真及实验结果表明:优化后的设备最小接近角提升了3.7°,最大接近角提升了1.5°;举升机构最小离地间隙提升了39.1 mm,最大横向尺寸平均减少了7.1%,双侧驱动力矩平均减少了11.82%和24.9%,液压驱动装置推力需大于10325 N,行程为46.5 mm。
To improve the equipment’s performance in confined spaces and on sloped terrain,efforts focused on minimizing the lifting mechanism’s torque and lateral dimensions while maximizing the approach angle.Using the non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ),the Pareto front solution set regarding various structural parameters of the mechanism was derived.Subsequently,the Min-Max normalization algorithm was utilized to compute the optimal solution from the Pareto front solution set.Simulation and experimental results show significant enhancements:the minimum approach angle increased by 3.7°,and the maximum by 1.5°.The lifting mechanism’s ground clearance rose by 39.1 mm,while the maximum lateral dimension decreased by 7.1%.Average torque reductions were 11.82%and 24.9%on both sides.The hydraulic drive unit requires thrust exceeding 10325 N with a 46.5 mm stroke.
作者
廖凯
徐诗宇
李立君
高自成
陈飞
彭语轩
LIAO Kai;XU Shiyu;LI Lijun;GAO Zicheng;CHEN Fei;PENG Yuxuan(Engineering Research Center for Forestry Equipment of Hunan Province,Central South University of Forestry and Technology,Changsha 410004,Hunan,China)
出处
《中国工程机械学报》
北大核心
2025年第6期1002-1007,共6页
Chinese Journal of Construction Machinery
基金
国家重点研发计划资助项目(2022YFD2202103)
国家林业和草原局应急科技资助项目(2022022)
井冈山农高区省级科技专项“揭榜挂帅”资助项目(20222051247)。
关键词
农业机械
平面四杆机构
优化设计
二代非支配排序遗传算法
agricultural machinery
planar four-bar linkage
optimization design
non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)
