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arXiv 2306.08090math.OC
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具有快速有限时间稳定性的$SE(3)$上旋翼飞行器几何自抗扰控制

Geometric Active Disturbance Rejection Control of Rotorcraft on $SE(3)$ with Fast Finite-Time Stability

Ningshan Wang, Reza Hamrah, Amit K. Sanyal, Mark N. Glauser

AI总结:

针对$SE(3)$上旋翼飞行器刚体运动的欠驱动系统,提出基于Hölder连续快速有限时间微分器的扩张状态观测器估计扰动,结合几何控制实现快速有限时间稳定跟踪,仿真验证其性能优于现有方法。

摘要:

本文提出一种由扩张状态观测器(extended state observer, ESO)增强的跟踪控制框架,用于建模为刚体的旋翼飞行器的三维平动与转动运动。该系统被视为六维刚体运动李群$SE(3)$切丛上的欠驱动系统。扩张状态观测器用于估计作用于飞行器的合外力扰动与扰动力矩,当扰动为常值时,其可保证扰动估计误差在有限时间内稳定收敛;对于时变扰动,估计误差可在有限时间内收敛到零误差的有界邻域内。该扩张状态观测器的设计基于与超螺旋算法(super-twisting algorithm)类似的Hölder连续快速有限时间稳定微分器,以实现快速收敛。本文设计了一种利用扩张状态观测器估计的扰动进行扰动抑制的跟踪控制方案,以实现快速有限时间稳定跟踪控制。本文通过数值仿真验证了所提出的扩张状态观测器与带扰动抑制的跟踪控制方案的有效性,并将所提出的扩张状态观测器与现有研究成果进行对比,证明了其优越性。

英文摘要:

This article presents a tracking control framework enhanced by an extended state observer for a rotorcraft aerial vehicle modeled as a rigid body in three-dimensional translational and rotational motions. The system is considered as an underactuated system on the tangent bundle of the six-dimensional Lie group of rigid body motions, $SE(3)$. The extended state observer is designed to estimate the resultant external disturbance force and disturbance torque acting on the vehicle. It guarantees stable convergence of disturbance estimation errors in finite time when the disturbances are constant and finite time convergence to a bounded neighborhood of zero errors for time-varying disturbances. This extended state observer design is based on a Hölder-continuous fast finite time stable differentiator that is similar to the super-twisting algorithm, to obtain fast convergence. A tracking control scheme that uses the estimated disturbances from extended state observer for disturbance rejection, is designed to achieve fast finite-time stable tracking control. Numerical simulations are conducted to validate the proposed extended state observer and tracking control scheme with disturbance rejection. The proposed extended state observer is compared with other existing research to show its supremacy.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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