无人机时间尺度分析与综合

Enobong Archibong, D. Naidu
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引用次数: 0

摘要

无人驾驶飞行器(uav)最近被证明在军事和民用领域都有巨大的帮助。理想情况下,所有无人机都需要能够在运行时运行,而不需要持续的人工监督。因此,自动控制,特别是无人机的最优控制的作用怎么强调都不过分。本文考虑了典型无人机的八阶非线性模型。系统的线性化模型具有时间尺度(慢速和快速)特征。在时间尺度分离的基础上,首先将原有的高阶系统分离为慢阶和快速的低阶子系统,成功地进行了无人机的分析和设计。然后对这些子系统设计了最优控制器,并在确定和随机情况下由慢速控制和快速控制组成复合控制。仿真结果表明,原线性系统与慢速子系统和快速子系统具有较好的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time scale analysis and synthesis for Unmanned Aerial Vehicles(UAVs)
The Unmanned Aerial Vehicles (UAVs) have recently proven to be of immense help in both military and civilian fields. All UAVs ideally need to be able to operate at runtime without the need for sustained human supervision. Hence, the role of automatic control and in particular optimal control of UAVs cannot be overemphasized. In this paper, an eighth-order, non-linear model of a typical UAV is considered. The linearized model of the system exhibits time-scale (slow and fast) character. Based on the time-scale separation, analysis and design of the UAV is carried out successfully by first separating the original, high-order system into slow and fast, lower-order subsystems. Then optimal controllers for these subsystems are designed and a composite control is formed from the slow and fast controls for both deterministic and stochastic cases. The simulations show good agreement between the original linear system and the slow and fast subsystems.
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