Multi-objective optimization for motorcycle suspension parametersbased on parallel tasks under multi-loading cases

XU Zhong-ming;YANG Jian-guo;ZHANG Zhi-fei;LI Shi-sheng

Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (4) : 59-65.

PDF(2163 KB)
PDF(2163 KB)
Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (4) : 59-65.
论文

Multi-objective optimization for motorcycle suspension parametersbased on parallel tasks under multi-loading cases

  • XU Zhong-ming1,2, YANG Jian-guo2, ZHANG Zhi-fei2, LI Shi-sheng2
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Abstract

The rider-motorcycle system model was established by the motorcycle dynamics software BikeSim, the pitch angle and ride comfort were simulated under Grade B road stochastic excitation and accelerating-braking condition; The maximum of pitch angle and the pitching and vertical vibration acceleration RMS values under Grade B road stochastic excitation were taken as optimized objectives, and the suspension property parameters as design variables, the parallel computing tasks were built using iSIGHT to drive BikeSim and MATLAB, the multi-objective optimization was executed for motorcycle suspension system, a method to find the goal weights was proposed according to Pareto frontier, and the optimal solution was obtained. The optimal result shows that the maximum of pitch angle under accelerating-braking was decreased and the ride comfort was improved.

Key words

motorcycles / pitch angle / ride comfort / parallel tasks / multi-objective optimization / Pareto frontier

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XU Zhong-ming;YANG Jian-guo;ZHANG Zhi-fei;LI Shi-sheng. Multi-objective optimization for motorcycle suspension parametersbased on parallel tasks under multi-loading cases[J]. Journal of Vibration and Shock, 2013, 32(4): 59-65
PDF(2163 KB)

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