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In this paper, a fuzzy steering control strategy is presented for the dual-motor electric tracked vehicle. The strategy is devoted to the steering dynamic process; altering the control the dual motors' torque outputs such that the vehicle can answer the driver's steering operation more rapidly. The two inputs of fuzzy algorithm are the driver's steering wheel angel and its differential coefficient,...
In order to provide the dual-motor drive electric tracked vehicle with the capacity of steering when braking, analyzed steering dynamics and mainly researched the characteristic of the turning radius, proposed a torque control strategy for steering in braking process. The motor's brake torque of each side is controlled according to inputs signals from driver's steering wheel and braking footplate...
A turning control strategy based on BP neutral network and modified by a PID algorithm is presented in this paper for the dual electric tracked vehicle. Firstly analyzed the tracked vehicle turning dynamics and establish the torque distribution strategy. The BP network is trained by data from the distribution strategy simulation results; the PID algorithm is used to eliminate the dependence of terra...
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