Paper
28 August 2024 Multiobjective optimization design of lifting performance structure of scissor lifting aerial work vehicle based on fuzzy nearness degree method
Xin Zhao, Xiaomei Ni, Lijun Shao, Ru Li
Author Affiliations +
Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 1325109 (2024) https://doi.org/10.1117/12.3039447
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China
Abstract
The hydraulic cylinder of a shear-fork high-altitude working vehicle needs a large thrust, a large rate of speed change and a high dead weight in the lifting stage. In view of these problems, the multi-objective optimization of its structure was studied. Firstly, the force analysis and lifting speed analysis of the shear-fork high-altitude working vehicle were carried out to obtain the maximum thrust expression of the hydraulic cylinder and the lifting speed change rate of the working platform, the strength and stability of the shear-fork arm were analyzed, and then the multi-objective optimization model of the structure was established. Then, the multi-objective optimization of the structure was carried out by using the combination of NSGA-II and fuzzy approach degree method, and the optimal solution was obtained. Finally, the results before and after optimization were analyzed and compared. The results show that the maximum thrust of the hydraulic cylinder is reduced by 3.8%, the maximum lifting speed change rate of the working platform is reduced by 9.6%, and the weight of the shear-fork arm is reduced by 17.3%. The force conditions of each hinge point are improved to varying degrees.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xin Zhao, Xiaomei Ni, Lijun Shao, and Ru Li "Multiobjective optimization design of lifting performance structure of scissor lifting aerial work vehicle based on fuzzy nearness degree method", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 1325109 (28 August 2024); https://doi.org/10.1117/12.3039447
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Mathematical optimization

Design

Bending stress

Deformation

Fuzzy logic

Mechanics

Motion analysis

Back to Top