arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2409.03028eess.SYcs.SYmath.OC
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基于非线性动态逆的SO(3)刚体姿态控制

Rigid-Body Attitude Control on $\mathsf{SO(3)}$ using Nonlinear Dynamic Inversion

Hafiz Zeeshan Iqbal Khan, Farooq Aslam, Muhammad Farooq Haydar, Jamshed Riaz

AI总结:

本文提出一种直接在SO(3)旋转矩阵上工作的非线性动态逆级联姿态控制器,避免欧拉角等表示的奇异性和非唯一性问题,并给出LMI稳定性条件,仿真验证其优于基于欧拉角的NDI方案。

摘要:

本文提出了一种基于非线性动态逆(NDI)的级联控制架构,用于刚体姿态控制。所提出的控制器直接使用旋转矩阵参数化,即特殊正交群SO(3)的元素,避免了影响其他常用姿态表示(如欧拉角、单位四元数、修正罗德里格斯参数等)的奇异性和非唯一性问题。所提出的基于NDI的控制器能够为外环姿态回路和内环角速率回路施加任意阶的期望线性动态,并为控制设计者提供了在两个回路中选择高阶动态补偿器的灵活性。此外,本文以线性矩阵不等式(LMI)的形式给出了充分条件,确保外环控制器使姿态回路几乎全局渐近稳定(AGAS),并使角速率回路全局渐近稳定(GAS)。进一步证明了在姿态误差调节情况下,整个级联控制架构是AGAS的。最后,在高保真非线性仿真中,针对多旋翼飞行器敏捷机动跟踪问题,将所提出的方案与文献中基于欧拉角的NDI方案进行了比较。

英文摘要:

This paper presents a cascaded control architecture, based on nonlinear dynamic inversion (NDI), for rigid body attitude control. The proposed controller works directly with the rotation matrix parameterization, that is, with elements of the Special Orthogonal Group $\mathsf{SO(3)}$, and avoids problems related to singularities and non-uniqueness which affect other commonly used attitude representations such as Euler angles, unit quaternions, modified Rodrigues parameters, etc. The proposed NDI-based controller is capable of imposing desired linear dynamics of any order for the outer attitude loop and the inner rate loop, and gives control designers the flexibility to choose higher-order dynamic compensators in both loops. In addition, sufficient conditions are presented in the form of linear matrix inequalities (LMIs) which ensure that the outer loop controller renders the attitude loop almost globally asymptotically stable (AGAS) and the rate loop globally asymptotically stable (GAS). Furthermore, the overall cascaded control architecture is shown to be AGAS in the case of attitude error regulation. Lastly, the proposed scheme is compared with an Euler angles-based NDI scheme from literature for a tracking problem involving agile maneuvering of a multicopter in a high-fidelity nonlinear simulation.

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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