Fixed-wing UAV with transitioning flight capabilities : Model-Based or Model-Free Control approach? A preliminary study

J. Barth, Jean-Philippe Condomines, M. Bronz, Leandro R. Lustosa, J. Moschetta, C. Join, M. Fliess
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引用次数: 1

Abstract

Transitioning vehicles experience three different flight phases during typical missions. The hovering and forward flight phases have been researched widely, however the transition phase in between is more challenging and has been the subject of less research. One of the control approaches to handle the transition phase relies on model-based methods which require sophisticated wind-tunnel characterization. Accurate modeling of force and moments of a partially stalled wing and control surfaces is highly challenging and time consuming. In addition, these models usually require several flight measurements (such as angle of attack and low airspeed) that are difficult to obtain. As an alternative, some control approaches manage the transition phase without the need for sophisticated models. One example of such an approach is the Model Free Control (MFC). This paper compares the results obtained from both MFC and Linear Quadratic Regulator (LQR) applied to fixed-wing UAV with transitioning flight capability during hovering, transition and forward flight modes. Both of the controllers are designed for a transitioning vehicle called MAVion. The simulation results demonstrated that MFC increases the stability of the aircraft, especially in disturbed flight conditions.
具有过渡飞行能力的固定翼无人机:基于模型还是无模型控制方法?初步研究
在典型的任务中,过渡飞行器会经历三个不同的飞行阶段。悬停和前飞阶段已经被广泛研究,但两者之间的过渡阶段更具挑战性,研究较少。处理过渡阶段的控制方法之一依赖于基于模型的方法,这需要复杂的风洞表征。对部分失速机翼和控制面的力和力矩进行精确建模是非常具有挑战性和耗时的。此外,这些模型通常需要一些难以获得的飞行测量(如攻角和低空速)。作为替代方案,一些控制方法管理转换阶段而不需要复杂的模型。这种方法的一个例子是无模型控制(MFC)。本文比较了MFC和线性二次型调节器(LQR)在固定翼无人机悬停、过渡和前向飞行模式下具有过渡飞行能力的结果。这两种控制器都是为一种叫做mavon的过渡飞行器设计的。仿真结果表明,MFC提高了飞机的稳定性,特别是在扰动飞行条件下。
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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