A Design Method of Steering Gear Transmission Mechanism Based on Multi-objective Particle Swarm Optimization | |
Zhuang, Xing; Wang, Yue; Li, Dongguang; Ma YL![]() | |
Source Publication | Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) |
2022-03-18 | |
Pages | 2037-2046 |
Conference Name | 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) |
Conference Date | September 24–26, 2021 |
Conference Place | Changsha, China |
Abstract | Transmission device is a requisite part of the design of steering gear structure, the design process mainly aimed at transmission accuracy and structural stress characteristics and other objectives to optimize. In the traditional ways, the single objective optimization method does not have practical application value. Multi-objective optimization algorithm can be effectively applied to the structural design of steering gear by relying on its efficient and accurate search performance and convenient implementation method. In this paper, a new multi-level and multi-objective particle swarm optimization algorithm (MLMOPSO) is proposed, which adds boundary conditions to the hierarchical design model and performs multi-objective particle swarm optimization. The simulation results represent that compared with the traditional optimization algorithm, MLMOPSO has better optimization effect on linkage mechanism optimization. The optimization results have higher reference value in actual design and can be effectively applied to other engineering optimization problems, with strong robustness and generalization. |
ISBN | 978-981-16-9491-2, 978-981-16-9492-9 |
URL | 查看原文 |
Indexed By | EI |
Language | 英语 |
Document Type | 会议论文 |
Identifier | http://dspace.imech.ac.cn/handle/311007/91671 |
Collection | 非线性力学国家重点实验室 |
Recommended Citation GB/T 7714 | Zhuang, Xing,Wang, Yue,Li, Dongguang,et al. A Design Method of Steering Gear Transmission Mechanism Based on Multi-objective Particle Swarm Optimization[C]Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021),2022:2037-2046. |
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PrcF015.pdf(891KB) | 会议论文 | 开放获取 | CC BY-NC-SA | View Download |
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