自适应滑动模式控制,用于减少携带有效载荷的无人飞行器的振动

R. Geronel, Douglas D. Bueno
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摘要

无人驾驶飞行器(UAV)已被用于运输各种有效载荷,包括医疗材料、食品和不同的电子设备。这种类型的创新引发了对有效载荷完整性的重要关注,主要是在涉及可能受振动影响的医疗物品时。考虑到四旋翼飞行器与其有效载荷之间的柔性连接,本文介绍了无人机携带悬挂有效载荷的飞行动力学。本文提出了自适应滑模控制(ASMC),以增强轨迹跟踪,从而最大限度地减少有效载荷的振动。为补偿有效载荷的动态和不确定性,引入了自适应系数,这些系数是针对每个拟议轨迹和货物质量计算得出的。无论选择的轨迹和货物重量如何,所提出的自适应控制都能有效地补偿附加有效载荷引起的额外动态和不确定性。使用基于均方根的指数对振荡进行定量评估。结果表明,在使用自适应控制时,不期望的振荡明显减弱,减弱幅度可达 27%。因此,使用所提出的 ASMC 可确保改进轨迹跟踪和减少主要状态变量上的残余振荡,从而可安全地用于运输多种类型的药品,包括对振动敏感的药品和在飞行过程中掉落的药品。
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Adaptive sliding mode control for vibration reduction on UAV carrying a payload
Unmanned aerial vehicles (UAVs) have been used to transport a variety of payloads, including medical materials, foods, and different electronic devices. This type of innovation generates important concerns regarding payload integrity, mainly when involving medical goods that can be affected by vibration. This paper presents the flight dynamics of suspended payload carried by an UAV, considering a flexible attachment between a quadrotor and its payload. Adaptive sliding mode control (ASMC) is proposed to enhance the trajectory tracking and consequently minimize the payload vibration. Adaptive coefficients are introduced to compensate the payload dynamics and uncertainties, which are computed for each proposed trajectory and cargo mass. The proposed adaptive control can efficiently compensate the extra dynamics and uncertainties caused by the attached payload, regardless of the chosen trajectory and weight of the cargo. A root mean square–based index is used to quantitatively evaluate the oscillations. The results show a significant attenuation of the undesired oscillations up to 27%, when the adaptive control is used. Therefore, the use of the proposed ASMC aims to guarantee an improved trajectory tracking and the attenuation of residual oscillations on the main state variables, allowing to be safely employed for transporting several types of medicines, including those sensitive to vibration and those that are dropped during a flight.
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