Research on Genetic Algorithm of Mechanical Structure Optimization of Weight Reduction System

Huan Liu, Jian Li, Shigang Wang, Xueshan Gao, Dingji Luo, Pengfei Lv, Pengfei Zhang, Jiale Lv, Yongjie Shi, Hongjuan Che

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, genetic algorithm is proposed to optimize the mechanical structure. In order to assist patients with lower limb movement disorder in rehabilitation training, assist patients to stand, and achieve the purpose of rehabilitation training, a lower limb rehabilitation mobile device was designed. Because the patient is in the early stage of recovery, lower limbs cannot stand on their own. The weight reduction mechanism is an important part in the whole mobile equipment. The weight reduction mechanism can reduce the requirement of leg strength and satisfy the precondition of early rehabilitation training. At present, the orthogonal method has been used to design the weight reduction mechanism. Using genetic algorithm to optimize mechanical structure can achieved the goal of reducing the volume and weight of the structure without decreasing the output force. From the optimization simulation results, it can be seen that the genetic algorithm can be used to optimize the mechanical structure design, and the volume of the weight reduction mechanism decreases by 48%. Compared with orthogonal design, genetic algorithm is an efficient structural optimization method.

源语言英语
主期刊名2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020
出版商Institute of Electrical and Electronics Engineers Inc.
171-175
页数5
ISBN(电子版)9781728164151
DOI
出版状态已出版 - 13 10月 2020
已对外发布
活动17th IEEE International Conference on Mechatronics and Automation, ICMA 2020 - Beijing, 中国
期限: 13 10月 202016 10月 2020

出版系列

姓名2020 IEEE International Conference on Mechatronics and Automation, ICMA 2020

会议

会议17th IEEE International Conference on Mechatronics and Automation, ICMA 2020
国家/地区中国
Beijing
时期13/10/2016/10/20

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