TY - GEN
T1 - A Design Method of Steering Gear Transmission Mechanism Based on Multi-objective Particle Swarm Optimization
AU - Zhuang, Xing
AU - Wang, Yue
AU - Li, Dongguang
AU - Ma, Yuanliang
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Multi-objective optimization
KW - Particle swarm optimization
KW - Spatial Linkage
KW - Transmission device
UR - http://www.scopus.com/inward/record.url?scp=85130884231&partnerID=8YFLogxK
U2 - 10.1007/978-981-16-9492-9_201
DO - 10.1007/978-981-16-9492-9_201
M3 - Conference contribution
AN - SCOPUS:85130884231
SN - 9789811694912
T3 - Lecture Notes in Electrical Engineering
SP - 2037
EP - 2046
BT - Proceedings of 2021 International Conference on Autonomous Unmanned Systems, ICAUS 2021
A2 - Wu, Meiping
A2 - Niu, Yifeng
A2 - Gu, Mancang
A2 - Cheng, Jin
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Autonomous Unmanned Systems, ICAUS 2021
Y2 - 24 September 2021 through 26 September 2021
ER -