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LATERAL MOTION CONTROL OF A VEHICLE USING THE REAR STEER: SIMULATION STUDY

机译:基于后转向的车辆横向运动控制:仿真研究

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The lateral motion control is a key element for automated driving vehicle technology. Typically, the front steering system has been used as the primary actuator for vehicle lateral motion control. Alternatively, this paper presents a new method of the lateral motion control using a rear steer. When combined with the front steer actuator, the rear steer can generate more dynamically responsive turning of the vehicle. In addition, the rear steer can be used as a secondary back up actuator when the front steer actuator fails to operate during automated driving mode. Similar to the prior research that has used the front steer actuator for the lateral control, the control methodology presented in this paper maintains the same hierarchical framework, i.e., sensor fusion, path prediction, path planning, and motion control. Since the rear steer is in play for the vehicle lateral motion control, the equations for the path prediction and vehicle dynamics are re-derived with non-zero front steer and rear steer angles. Combined with the rear steering dynamics, the model predictive control (MPC) technique is applied for motion error minimization. This paper describes the theoretical part of the algorithm, and provides simulation results to show effectiveness of the algorithm. Future work will include vehicle implementation, testing, and evaluation.
机译:横向运动控制是自动驾驶汽车技术的关键要素。通常,前转向系统已用作车辆横向运动控制的主要执行器。或者,本文提出了一种使用后转向的横向运动控制的新方法。当与前转向致动器结合使用时,后转向可产生更动态响应的车辆转向。另外,当前转向致动器在自动驾驶模式下无法操作时,后转向可以用作辅助后备致动器。与使用前转向执行器进行侧向控制的现有研究类似,本文介绍的控制方法保持相同的分层框架,即传感器融合,路径预测,路径规划和运动控制。由于后转向在车辆横向运动控制中起作用,因此使用非零的前转向和后转向角重新推导路径预测和车辆动力学方程。结合后转向动力学特性,将模型预测控制(MPC)技术应用于运动误差最小化。本文介绍了该算法的理论部分,并提供了仿真结果以证明该算法的有效性。未来的工作将包括车辆实施,测试和评估。

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