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SLIDING-MODE CONTROL WITH SWITCHING-GAIN ADAPTATION FOR TRAJECTORY TRACKING OF UNDERACTUATED UNMANNED SURFACE VESSELS

机译:带开关增益自适应的滑模控制,用于欠驱动无人舰船的弹道跟踪

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Robust trajectory tracking is a vitally important issue to underactuated unmanned surface vessels (USVs). In this paper, a sliding-mode control method with switching-gain adaptation is proposed to force an underactuated USV to track a predefined trajectory, despite the presence of parametric uncertainties and unknown environmental disturbances induced by the wave loads, the wind and the ocean currents. The proposed controller is designed using sliding-mode control (SMC) and backstepping and switching-gain adaptation techniques. In this methodology, SMC and backstepping technique are combined to enhance the robustness of the system, and the switching-gain adaptation law based on the ideal switching-gain is employed to alleviate the chattering problem. In addition, we have proved the global asymptotic stability of the closed-loop system under the discontinuous thruster forces or the varying uncertain terms related to the velocities and the environmental disturbances. Finally, numerical simulations are provided to demonstrate the robustness and effectiveness of the proposed method for trajectory tracking of underactuated USVs.
机译:对于欠驱动的无人水面舰艇(USV),稳健的轨迹跟踪是至关重要的问题。本文提出了一种具有开关增益自适应的滑模控制方法,以迫使欠驱动的USV跟踪预定轨迹,尽管存在由波浪载荷,风和洋流引起的参数不确定性和未知环境干扰。所提出的控制器是使用滑模控制(SMC)以及后推和开关增益自适应技术设计的。在该方法中,将SMC和反推技术相结合以增强系统的鲁棒性,并采用基于理想开关增益的开关增益自适应律来缓解抖动问题。此外,我们已经证明了在不连续的推力或与速度和环境扰动有关的不确定条件变化的情况下,闭环系统的全局渐近稳定性。最后,提供了数值模拟,以证明所提出的用于欠驱动USV的轨迹跟踪的方法的鲁棒性和有效性。

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