利用高阶滑模辅助扰动观测器为外部扰动下的四旋翼无人机设计跟踪控制器

Zheng Sun, Min Xiao, Di Li, Jia Chu
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摘要

在农田中进行航拍的四旋翼无人飞行器(UAV)很容易受到外部干扰。干扰会导致轨迹偏差和不规则图像重叠,从而大大降低图像质量。干扰观测器(DOs)通常被用来抵消这些影响,但在处理各种高频干扰时可能存在延迟和局限性。为此,本研究提出了一种具有限时收敛特性的连续高阶滑模辅助干扰观测器(HSMDO),用于系统干扰的估计。该观测器由经典非线性 DO(NDO)和滑动模式辅助系统(SMAS)组成。NDO 用于初步估计干扰。SMAS 用于协助 NDO 估算干扰的高频分量,并确保整个 DO 是有限时间收敛的。最后,在 HSMDO 的基础上设计了跟踪控制器,使无人机能够在扰动条件下稳定地跟踪规定轨迹。仿真结果表明,所提出的 HSMDO 能够准确估计各种类型的干扰。此外,基于 HSMDO 的跟踪控制器可以提高系统的抗干扰性能,确保无人机的轨迹跟踪精度。
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Tracking controller design for quadrotor UAVs under external disturbances using a high-order sliding mode-assisted disturbance observer
Quadrotor unmanned aerial vehicles (UAVs) operating in agricultural fields for aerial photography are susceptible to external disturbances. The disturbances result in trajectory deviation and irregular image overlapping that considerably degrade image quality. Disturbance observers (DOs) are commonly researched for counteracting these effects but may have delays and limitations in handling diverse and high-frequency disturbances. To this end, this work proposes a continuous high-order sliding mode-assisted DO (HSMDO) with limited time convergence characteristics for the estimation of disturbances in systems. The observer consists of a classical nonlinear DO (NDO) and a sliding mode-assisted system (SMAS). The NDO is used to estimate disturbances preliminarily. The SMAS is utilised to assist the NDO in estimating the high-frequency component of disturbances and ensure that the entire DO is finite-time convergent. Finally, the tracking controller is designed on the basis of the HSMDO, which enables UAVs to track the prescribed trajectories under disturbances stably. Simulation results show that the proposed HSMDO can accurately estimate various types of disturbances. Moreover, the tracking controller based on the HSMDO can improve the antidisturbance performance of systems and ensure the trajectory tracking accuracy of UAVs.
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