Journal of System Simulation
Abstract
Abstract: Aiming at the comprehensive problem of wobble of front suspension system and weave of rear suspension system of large displacement motorcycle at medium and high speed, a multi-objective optimization scheme based on sensitivity analysis and approximate modeling is proposed. The motorcycle model is established and the dynamics simulation is carried out. The lateral acceleration of front wheel's centroid position, the yaw rate and roll rate of whole vehicle's centroid position, which characterize the wobble and weave are the targets. The sensitivity analysis of suspension system parameters and the approximate modeling are carried out. Based on the analysis results, the multi-objective optimization analysis of suspension system parameters is accomplished, and the root locus method is used to verify the optimization results. The results show that the stability of wobble and weave mode is significantly improved.
Recommended Citation
Ran, Xiansheng; Jing, Yang; Ling, Luo; and Kai, Chen
(2021)
"Multi-objective Optimization of Multi-task Parallel Motorcycle Suspension System Parameters,"
Journal of System Simulation: Vol. 33:
Iss.
5, Article 22.
DOI: 10.16182/j.issn1004731x.joss.20-0041
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss5/22
First Page
1216
Revised Date
2020-03-27
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-0041
Last Page
1223
CLC
U483;TP391
Recommended Citation
Ran Xiansheng, Yang Jing, Luo Ling, Chen Kai. Multi-objective Optimization of Multi-task Parallel Motorcycle Suspension System Parameters[J]. Journal of System Simulation, 2021, 33(5): 1216-1223.
DOI
10.16182/j.issn1004731x.joss.20-0041
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons