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Adaptive High-Order Sliding Mode Control for the Unmanned Vehicle Steering System

机译:无人机转向系统的自适应高阶滑模控制

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Facing the unmanned vehicle steering system with nonlinearity and uncertainties, model-based control methods could not acquire satisfied performance. In this paper, a novel adaptive high-order sliding mode (HOSM) control algorithm is proposed for the steer-by-wire (SBW) system of unmanned vehicle. There are three original contributions. Firstly, without the priori knowledge of the unmodeled dynamics and external disturbances bounds, the proposed adaptive HOSM controller ensures a real sliding mode established in finite time and a continuous control input signal to the steering motor. Secondly, the developed adaption schemes of switching effectively avoids overestimation, which significantly suppresses the formidable chattering caused by high frequency switching of the control signal. Finally, the effectiveness and superiority of the adaptive HOSM controller are indicated by numerical simulations.
机译:面对具有非线性和不确定性的无人驾驶汽车转向系统,基于模型的控制方法无法获得令人满意的性能。针对无人驾驶汽车的线控转向系统,提出了一种新颖的自适应高阶滑模控制算法。一共有三个原始贡献。首先,无需事先了解未建模的动力学和外部干扰范围,所提出的自适应HOSM控制器可确保在有限时间内建立实际的滑动模式,并确保向转向马达提供连续的控制输入信号。其次,所开发的开关自适应方案有效地避免了过高估计,从而大大抑制了控制信号高频开关引起的可怕的颤动。最后,通过数值仿真表明了自适应HOSM控制器的有效性和优越性。

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