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Adaptive Global Fast Sliding Mode Control for Steer-by-Wire System Road Vehicles

机译:线控转向系统道路车辆的自适应全局快速滑模控制

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摘要

A steer-by-wire (SbW) system, also known as a next-generation steering system, is one of the core elements of autonomous driving technology. Navigating a SbW system road vehicle in varying driving conditions requires an adaptive and robust control scheme to effectively compensate for the uncertain parameter variations and external disturbances. Therefore, this article proposed an adaptive global fast sliding mode control (AGFSMC) for SbW system vehicles with unknown steering parameters. First, the cooperative adaptive sliding mode observer (ASMO) and Kalman filter (KF) are established to simultaneously estimate the vehicle states and cornering stiffness coefficients. Second, based on the best set of estimated dynamics, the AGFSMC is designed to stabilize the impact of nonlinear tire-road disturbance forces and at the same time to estimate the uncertain SbW system parameters. Due to the robust nature of the proposed scheme, it can not only handle the tire–road variation, but also intelligently adapts to the different driving conditions and ensures that the tracking error and the sliding surface converge asymptotically to zero in a finite time. Finally, simulation results and comparative study with other control techniques validate the excellent performance of the proposed scheme.
机译:线控转向(SbW)系统,也称为下一代转向系统,是自动驾驶技术的核心要素之一。在变化的驾驶条件下驾驶SbW系统道路车辆需要自适应且鲁棒的控制方案,以有效地补偿不确定的参数变化和外部干扰。因此,本文提出了一种针对转向参数未知的SbW系统车辆的自适应全局快速滑模控制(AGFSMC)。首先,建立了自适应自适应滑模观测器(ASMO)和卡尔曼滤波器(KF),以同时估算车辆状态和转弯刚度系数。其次,基于最佳的估计动力学集,AGFSMC旨在稳定非线性轮胎-道路干扰力的影响,同时估计不确定的SbW系统参数。由于该方案的鲁棒性,它不仅可以处理轮胎-道路变化,而且可以智能地适应不同的驾驶条件,并确保跟踪误差和滑动表面在有限时间内渐近收敛为零。最后,仿真结果和与其他控制技术的比较研究证明了该方案的出色性能。

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