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Constrained Robust Model Reference Adaptive Control of a Tilt-Rotor Quadcopter Pulling an Unmodeled Cart

机译:倾斜转子Quadcopter的受限鲁棒模型参考自适应控制拉动未拼切推车

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摘要

This article presents an innovative control architecture for tilt-rotor quadcopters with H-configuration transporting unknown, sling payloads. This control architecture leverages on a thorough analysis of the aircraft's equation of motion, which reveals gyroscopic effects that were not fully characterized and were disregarded while synthesizing control algorithms in prior publications. Furthermore, the proposed control architecture employs barrier Lyapunov functions and a novel robust model reference adaptive control law to guarantee a priori user-defined constraints on both the trajectory tracking error and the control input, despite poor information on the aircraft's inertial properties and the presence of unknown, unsteady payloads. Flight tests involving a quadcopter pulling an unmodeled cart by means of a thin rope of unknown length, which is slack at the beginning of the mission, verify the effectiveness of the theoretical results.
机译:本文介绍了具有H配置的倾斜转子Quadcopters的创新控制架构,运输未知,吊索有效载荷。该控制架构利用对飞机的运动方程的彻底分析,揭示了在先前出版物中合成控制算法的同时忽视并忽略了陀螺效应。此外,所提出的控制架构采用障碍Lyapunov功能和新颖的鲁棒模型参考自适应控制定律,以保证轨迹跟踪误差和控制输入的先验用户定义约束,尽管有关飞机的惯性特性和存在的信息不佳未知,不稳定的有效载荷。涉及Quadcopter的飞行试验通过薄绳子拉动未知长度的薄绳,这在使命开始时松弛,验证了理论结果的有效性。

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