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An Integrated Path-following and Yaw Motion Control Strategy for Autonomous Distributed Drive Electric Vehicles with Differential Steering

机译:差动转向的自动分布式驱动电动汽车的路径跟踪与偏航运动控制策略集成

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This paper proposes a novel control strategy integrated path-following with yaw motion control for autonomous distributed drive electric vehicles with differential steering (DS) technology. First, the path-following and vehicle dynamics model, and DS system are introduced and analyzed. Then, the control framework is proposed, where the model predictive control (MPC) is adopted for path-following and yaw motion control. Given the optimized command by MPC, the quadratic programming (QP) algorithm is applied for in-wheel motors' torque allocation optimization. Series of simulation validations are carried out, proving that the proposed strategy can effectively achieve superior path-following effect, guarantee the vehicle yaw stability, and implement the steering control in DS system, simultaneously.
机译:本文提出了一种新的控制策略集成路径,随着差分转向(DS)技术的自主分布式驱动电动车辆的横摆运动控制。首先,引入和分析了路径跟踪和车辆动力学模型和DS系统。然后,提出控制框架,其中采用模型预测控制(MPC)用于路径跟踪和偏航运动控制。鉴于MPC的优化命令,二次编程(QP)算法应用于轮内电机的扭矩分配优化。进行了一系列仿真验证,证明了所提出的策略可以有效实现卓越的路径效果,保证车辆偏航稳定性,并同时在DS系统中实现转向控制。

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