Mining Dump Truck Ride Optimization Based on Identification Road

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (13) : 24-30.

ZHU Yi-fan 1 GU Zheng-qi 1,2 ZHANG Sha1

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Abstract

Aiming at harsh driving mining road,road surface excitation is an important factor in the research of mining dump truck ride comfort. Combined with rigid-flexible vehicle model ,this paper proposes that using BP neural network which is optimized by genetic algorithm to identify the mining road, prediction ability are improved greatly compared with standard BP network.The accuracy of the method is verified through vehicle road test. Compared with simulation results of ride comfort under common C-class and D-class roads, the model simulation accuracy based on identification road is increased by 12.3%. Through the establishment of Kriging approximation model,the structure parameters of hydro-pneumatic suspension and seat are optimized by multi-island genetic algorithm, which makes the root mean square value of the seat acceleration as optimization objective and makes the sprung mass and tire stiffness damping as uncertainties. After optimizing, the value is descended by 37.4%, which achieves the purpose of improving the ride comfort.

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Mining road / Identification / GA-BP neural network / Rigid-flexible vehicle model / Ride comfort

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ZHU Yi-fan 1 GU Zheng-qi 1,2 ZHANG Sha1 . Mining Dump Truck Ride Optimization Based on Identification Road[J]. Journal of Vibration and Shock, 2015, 34(13): 24-30

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