复杂环境下不确定无人飞行器的鲁棒姿态跟踪

Jiafan He, Yiming Mao, Z. Xia, Qingwei Li, Feng Fang, Aiguo Fei
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引用次数: 0

摘要

本文的主要目的是研究具有不确定惯性矩阵的无人作战飞行器在战场环境下的鲁棒姿态跟踪问题。众所周知,由于存在大量未知的外部干扰力矩,影响无人飞行器的环境是复杂的。因此,对于不确定无人飞行器的数学模型,我们基于具有输入-状态稳定逆动力学的特定姿态偏差系统进行了研究。这使得基于非线性内模方法的调节理论合成基于误差的输出反馈控制器,使转向跟踪误差渐近消失,保证了精确的跟踪性能。基于积分输入状态稳定性(iISS)的设计,不仅实现了对未知谐波干扰抑制的渐近姿态跟踪,而且对未知惯性矩阵和未建模干扰具有鲁棒性。最后给出了数值模拟结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Attitude Tracking of an Uncertain UCAV in a Complex Environment
The chief objective of this paper is to address the problem of robust attitude tracking of an unmanned combat aerial vehicle (UCAV) with uncertain inertia matrix in battlefield environment. As we all known, the environment is complicated due to the combination of lots of unknown external disturbance torques that effects on the UCAV. Thus, for the mathematical model of an unertain UCAV, we carry out this study based on a specific attitude deviation system having input-to-state stable inverse dynamics. This facilitates error-based output feedback controller synthesis by regulation theory based on a nonlinear internal model approach, steering tracking error vanishes asymptotically and guaranteeing precise tracking performance. As a consequence of integral input-to-state stability (iISS) based design, we achieve not only asymptotic attitude tracking with unknown harmonic disturbance rejection, but also robustness property with respect to unknown inertia matrix and unmodeled disturbance. Finally, numerical simulation results are shown for illustration.
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