Multi-objective Optimization of Multi-task Parallel Motorcycle Suspension System Parameters

doi:10.16182/j.issn1004731x.joss.20-0041

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.

Key words: suspension, sensitivity analysis, approximate modeling, multi-objective optimization, root locus

CLC Number:

U483
TP391

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.

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