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

机译:带有加速约束的前轮转向车辆模型预测路径跟随控制

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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.
机译:在前轮转向车辆中需要自动驾驶控制,因为期望其可以使驾驶更安全,更容易并且还可以减少驾驶工作量。为了利用自主驾驶控制进行安全驾驶,有必要考虑车辆行驶时的意外干扰以及轮胎力的局限性。我们提出了结合模型预测控制(MPC)和滑模控制(SMC)的自动驾驶控制。在本文中,我们采用MPC来考虑最大轮胎力。 SMC用于处理模型未预料到的意外干扰。此外,我们确认通过使用易于受到意外干扰的小型前轮转向车辆进行实际检查,可以实现路径跟随控制。

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