Optimization of a MR damper based on whole vehicle analysis

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (23) : 164-170.

LI Jing,HAN Zuoyue,ZHOU Yu,YU Chunxian

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Abstract

Aiming at shortages in magneto-rheological (MR) dampers’present design procedure,constraint relations among design parameters were fully analyzed and the core design parameters were screened out.Dynamic constraint conditions were designed for the important design parameters in magnetic field.Based on the magnetic field finite element simulation results,a neural network was used to fit parameter boundary model,and narrow down the optimization range.The multi-parameter feedback whole vehicle control algorithm was designed based on the ceiling damping control idea and the parametric optimization was done.A joint simulation platform including whole vehicle model,controller model,damper model and actuator response model was established.Taking the vehicle body total weighted acceleration as the index,the genetic algorithm was used to globally optimize the MR damper’s design parameters.The results showed that the optimized damper can better meet the requirements of the suspension control; combined with the whole vehicle control algorithm,it can effectively improve vehicle riding comfort.

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vehicle engineering / magneto-rheological damper / optimization / finite element / vehicle simulation

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LI Jing,HAN Zuoyue,ZHOU Yu,YU Chunxian. Optimization of a MR damper based on whole vehicle analysis[J]. Journal of Vibration and Shock, 2018, 37(23): 164-170

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