Cooperative Distributed LQR Control for Longitudinal Flight of a Formation of Non-Identical Low-Speed Experimental UAV's

E. Vlahakis, E. Milonidis, G. Halikias
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引用次数: 2

Abstract

In this paper, an established distributed LQR control methodology applied to identical linear systems is extended to control arbitrary formations of non-identical UAV's. The nonlinear model of a low-speed experimental UAV known as X-RAE1 is utilized for simulation purposes. The formation is composed of four dynamically decoupled X-RAE1 which differ in their masses and their products of inertia about the xz plane. In order to design linear controllers the nonlinear models are linearized for horizontal flight conditions at constant velocity. State-feedback, input and similarity transformations are applied to solve model-matching type problems and compensate for the mismatch in the linearized models due to mass and symmetry discrepancies among the X-RAE1 models. It is shown that the method is based on the controllability indices of the linearized models. Distributed LQR control employed in networks of identical linear systems is appropriately adjusted and applied to the formation of the nonidentical UAV's. The applicability of the approach is illustrated via numerous simulation results.
非同速低速实验无人机编队纵向飞行的协同分布式LQR控制
本文将已建立的适用于同一线性系统的分布式LQR控制方法推广到控制非同一无人机的任意编队。一种被称为X-RAE1的低速实验无人机的非线性模型被用于仿真目的。该结构由四个动态解耦的X-RAE1组成,它们的质量和在xz平面上的惯性积不同。为了设计线性控制器,对匀速水平飞行条件下的非线性模型进行线性化处理。采用状态反馈、输入和相似变换来解决模型匹配型问题,并补偿由于X-RAE1模型之间的质量和对称性差异而导致的线性化模型的不匹配。结果表明,该方法基于线性化模型的可控性指标。对相同线性系统网络中的分布式LQR控制进行了适当调整,并将其应用于非相同无人机的编队。通过大量的仿真结果说明了该方法的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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