Kinematical simulation analysis of steering system of mining dump truck based on adaptive differential evolution algorithm

Spatial kinematics formulations were built on the basis of the steering system of 220 ton mining dump truck, which were verified by the model built in ADAMS and referring to the kingpin caster angle and kingpin inclination angle. This research focused to use MATLAB to program the dual-trial adaptive differential evolution algorithm (DADEA) in order to work out the global optimal steering property. It made inner and outer wheel's corner of 220 ton mining dump truck meet to the Ackerman steering geometry of considering the wheel cornering characteristics to achieve pure rolling when turning. The design variables are the arm length of the steering trapezium (K) and its base angle (Φ). The results of the optimal steering property were analyzed and compared to the optimal results generated by ADAMS. It turns out the optimization results obtained by MATLAB are better than those obtained by ADAMS. It was proven by real car tire comparison test that the former can make the steering design more reasonable, improve the serious type wore situations of mining dump trucks, and extend the service life of the type.