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Type: Journal article
Title: A novel actuator controller: delivering a practical solution to realization of active-truss-based morphing wings
Author: Tang, D.
Chen, L.
Hu, E.
Tian, Z.
Citation: IEEE Transactions on Industrial Electronics, 2016; 63(10):6226-6237
Publisher: IEEE
Issue Date: 2016
ISSN: 0278-0046
Statement of
Difan Tang, Lei Chen, Eric Hu, and Zhao F. Tian
Abstract: 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.
Keywords: Disturbance rejection; model error compensation; morphing wing; motion control; tracking control; unknown-input estimation
Rights: © 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
DOI: 10.1109/TIE.2016.2580520
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Mechanical Engineering publications

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