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Path following of autonomous vehicle in 2D space using multivariable sliding mode control

机译:多变量滑模控制在二维空间中自动驾驶汽车的路径跟踪

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摘要

A solution to the path following problem for underactuated autonomous vehicles in the presence of possibly large modeling parametric uncertainty is proposed. For a general class of vehicles moving in 2D space, we demonstrated a path following control law based onmultiple variable sliding mode that yields global boundedness and convergence of the position tracking error to a small neighborhood and robustness to parametricmodeling uncertainty. An error integration element is added into the "tanh" function of the traditional sliding mode control. We illustrated our results in the context of the vehicle control applications that an underwater vehicle moves along with the desired paths in 2D space. Simulations show that the control objectives were accomplished.
机译:提出了在可能存在较大模型参数不确定性的情况下欠驱动自动驾驶汽车的路径跟随问题的解决方案。对于在2D空间中移动的一般车辆,我们展示了基于多变量滑模的遵循控制规律的路径,该路径产生全局有界性,并且位置跟踪误差收敛到较小的邻域,并且对于参数化建模不确定性具有鲁棒性。在传统的滑模控制的“ tanh”功能中添加了一个误差积分元素。我们在车辆控制应用程序的背景下说明了我们的结果,该应用程序是水下车辆在2D空间中沿所需路径移动。仿真表明控制目标得以实现。

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