Research on Yaw Stability Control of Front-Wheel Dual-Motor-Driven Driverless Formula Racing Car

Boju Liu, Gang Li, Hongfei Bai, Shuang Wang, Xing Zhang
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Abstract

In order to improve the yaw stability of a front-wheel dual-motor-driven driverless vehicle, a yaw stability control strategy is proposed for a front-wheel dual-motor-driven formula student driverless racing car. A hierarchical control structure is adopted to design the upper torque distributor based on the integral sliding mode theory, which establishes a linear two-degree-of-freedom model of the racing car to calculate the expected yaw angular velocity and the expected side slip angle and calculates the additional yaw moments of the two front wheels. The lower layer is the torque distributor, which optimally distributes the additional moments to the motors of the two front wheels based on torque optimization objectives and torque distribution rules. Two typical test conditions were selected to carry out simulation experiments. The results show that the driverless formula racing car can track the expected yaw angular velocity and the expected side slip angle better after adding the yaw stability controller designed in this paper, effectively improving driving stability.
前轮双电机驱动无人驾驶方程式赛车的偏航稳定性控制研究
为了提高前轮双电机驱动无人驾驶赛车的偏航稳定性,提出了前轮双电机驱动方程式学生无人驾驶赛车的偏航稳定性控制策略。采用分层控制结构,基于积分滑模理论设计上层扭矩分配器,建立赛车的线性二自由度模型,计算预期偏航角速度和预期侧滑角,并计算两个前轮的附加偏航力矩。下层是扭矩分配器,它根据扭矩优化目标和扭矩分配规则,将附加力矩优化分配到两个前轮的电机上。选择了两种典型的测试条件进行仿真实验。结果表明,在加入本文设计的偏航稳定控制器后,无人驾驶方程式赛车能更好地跟踪预期偏航角速度和预期侧滑角,有效提高了行驶稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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