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Fixed Wing Micro Aerial Vehicle Pitching Control based on Flow Field Patterns

机译:基于流场模式的固定翼微型飞行器俯仰控制

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In recent years, there has been much interest in biology to develop new sensing and control technologies for use in flight control systems. One bioinspired concept of particular interest is the microscale distributed flow sensor array, which is an analogue to mechanosensor arrays distributed over wing surfaces of many animals including birds and bats and are implicated in stable and controlled flights even during unsteady wind conditions. In this work, a fixed-wing micro aerial vehicle is simulated in AVL®, and the surface pressure pattern is constructed using the information sampled by an array of onboard micro-scale pressure sensors. The relationships between the pressure field pattern, free-stream airspeed, angle of attack, and side slip angle are analyzed. A nonlinear robust controller is designed that regulates the difference between the desired and actual pressure field patterns, and its asymptotic stability is proven. It is shown in simulation that both disturbance rejection and command tracking capabilities are achieved using this method for pitching motion controls.
机译:近年来,生物学引起了很多兴趣,以开发用于飞行控制系统的新传感和控制技术。一个特别受生物启发的概念是微型分布式流量传感器阵列,它类似于机械传感器阵列的分布,该传感器分布在包括鸟类和蝙蝠在内的许多动物的机翼表面上,甚至在风量不稳定的情况下也涉及稳定和受控的飞行。在这项工作中,用AVL®模拟了固定翼微型飞行器,并使用由一系列机载微型压力传感器采样的信息来构造表面压力模式。分析了压力场模式,自由流空速,迎角和侧滑角之间的关系。设计了一种非线性鲁棒控制器,该控制器调节所需压力场模式与实际压力场模式之间的差异,并证明了其渐近稳定性。在仿真中显示,使用这种俯仰运动控制方法可以同时实现干扰抑制和命令跟踪功能。

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