电动汽车ABS最优滑移率滑模控制研究

Research on Optimal Slip Control for ABS of Electric Vehicle Based on Sliding Mode Control

设计了一种基于混合趋近律的ABS最优滑移率滑模控制方法,并使用双曲正切函数代替趋近律中的符号函数。结合电动汽车复合制动系统制动力分配策略,制定基于最优滑移率滑模控制的电动汽车ABS控制策略;然后基于Car Sim与Simulink联合仿真,运用遗传算法优化滑模控制趋近律参数。实例样车制动仿真试验结果表明该控制方法可以有效地将车轮滑移率控制在最优滑移率处,且遗传算法优化能够改善滑动模态到达过程的动态品质。

Taking the optimal slip ratio as the target,a sliding mode control method for anti-lock braking system was proposed,and the hyperbolic tangent function is used instead of the sign function in the reach law.Combined with the braking force distribution strategy for hybrid braking system,the anti-lock braking control strategy of electric vehicle based on the optimal slip ratio control with sliding mode is formulated.Based on the co-simulation of CarSim and Simulink,the genetic algorithm was introduced to optimize the parameters of reach law of the sliding mode control.The simulation result shows that the wheels are controlled at the optimal slip ratio and that the optimization of genetic algorithm can improve the dynamic quality of the arrival process of sliding mode.