Model predictive path following control with acceleration constraints for front steering vehicles

Manabu Shinohara, Takatsugu Oda, K. Nonaka, K. Sekiguchi
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Abstract

There is a demand for autonomous driving control in front-wheel steering vehicles because it is expected to make driving safer and easier and also to reduce the driving workload. In order to perform safe driving with autonomous driving control, it is necessary to consider unexpected disturbances when the vehicle is moving and that tire forces have limitations. We propose autonomous driving control combining Model Predictive Control (MPC) and Sliding Mode Control (SMC). In this paper, we employ MPC in order to consider the maximum tire forces. SMC is employed to deal with unexpected disturbances that the model has not anticipated. Furthermore, we confirmed that path following control is possible by practical inspection using a small front-wheel steering vehicle that is susceptible to unexpected disturbances.
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具有加速度约束的前转向车辆预测路径跟踪控制模型
前轮转向车辆的自动驾驶控制需求很大,因为它有望使驾驶更安全、更容易,并减少驾驶工作量。为了在自动驾驶控制下进行安全驾驶,必须考虑车辆行驶时的意外干扰以及轮胎力的局限性。我们提出了模型预测控制(MPC)和滑模控制(SMC)相结合的自动驾驶控制方法。在本文中,我们采用MPC来考虑最大轮胎力。SMC用于处理模型没有预料到的意外干扰。此外,通过使用小型前轮转向车辆进行实际检查,我们证实了路径跟随控制是可能的,该车辆容易受到意外干扰。
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