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A novel actuator controller: delivering a practical solution to realization of active-truss-based morphing wings

机译:一种新颖的执行器控制器:为实现基于主动桁架的变形机翼提供实用的解决方案

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摘要

A novel actuator controller is proposed in this paper for active-truss-based morphing wings (ATBMWs). An ATBMW is a new type of smart structure capable of smooth and continuous profile change, and has the potential to provide better stealth and aerodynamic performance over airfoils with discrete control surfaces. However, the sophisticated ATBMW framework and large amount of highly interacted actuators make it difficult to obtain the overall rigid-body dynamics of the wing for controller design and inconvenient to tune controllers on board. The focus of this study is, thus, to solve the aforementioned problems by developing an actuator-level control scheme that does not rely on the wing rigid-body dynamics and on-board tuning. The linear-quadratic-Gaussian (LQG) controller is adopted for actuator trajectory tracking, and a novel unknown-input estimator (UIE) is devised to handle unmodeled dynamics. By integrating the UIE with the LQG algorithm, a new tracking controller with enhanced tolerance to uncertainties is constructed. It is shown in simulations and experiments on an ATBMW prototype that the proposed UIE-integrated LQG controller can be designed simply using the known actuator dynamics without on-board tuning, and superior trajectory tracking of actuators was observed despite the presence of unmodeled dynamics and exogenous disturbances.
机译:本文针对基于主动桁架的变形翼(ATBMW)提出了一种新型的执行器控制器。 ATBMW是一种新型的智能结构,能够平滑连续地改变轮廓,并且具有在具有离散控制面的机翼上提供更好的隐身性和空气动力学性能的潜力。但是,复杂的ATBMW框架和大量高度交互的执行器使得难以获得机翼的整体刚体动力学以进行控制器设计,并且难以调整机载控制器。因此,本研究的重点是通过开发一种不依赖机翼刚体动力学和机载调整的执行器级控制方案来解决上述问题。采用线性二次高斯(LQG)控制器进行执行器轨迹跟踪,并设计了一种新颖的未知输入估计器(UIE)来处理未建模的动力学。通过将UIE与LQG算法集成,可以构建具有增强的不确定性容限的新型跟踪控制器。在ATBMW原型的仿真和实验中表明,可以使用已知的执行器动力学简单地设计建议的UIE集成LQG控制器,而无需进行板载调整,尽管存在未建模的动力学和外源性,但仍观察到了执行器的优异轨迹跟踪干扰。

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