Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/128971
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Type: Conference paper
Title: Parametric analysis for robust force/torque tracking control of a virtual stiffness-damping system in airfoil aeroelasticity testing
Author: Tang, D.
Chen, L.
Tian, Z.
Hu, E.
Citation: Proceedings of the 2019 American Control Conference (ACC), 2019 / vol.2019-July, pp.3557-3562
Publisher: IEEE
Issue Date: 2019
Series/Report no.: Proceedings of the American Control Conference
ISBN: 9781538679265
ISSN: 0743-1619
2378-5861
Conference Name: American Control Conference (ACC) (10 Jul 2019 - 12 Jun 2019 : Philadelphia, USA)
Statement of
Responsibility: 
Difan Tang, Lei Chen, Zhao Feng Tian and Eric Hu
Abstract: The force/torque tracking control of a virtual stiffness-damping system (VSDS) for airfoil aeroelasticity testing is studied in this paper. Existing test-beds rely on elastic elements or structures to set airfoil elasticity in tests, which can be costly and inconvenient in cases of frequent stiffness adjustment across a wide range. A possible alternative is the VSDS that utilizes electric drives to simulate the effects of structural elasticity and damping, as seen in marine and biomechanics engineering. However, the potential VSDS for airfoil aeroelasticity testing is more prone to transmission powerloss caused by generally unknown inputs including frictions as well as other un-modeled dynamics and disturbances, due to different operation principle and conditions compared with other existing VSDSs. This is a critical problem that can result in inaccurate virtual stiffness and damping. In this paper we tackle this problem by treating power loss as an unknown input and employing the linear-quadratic-Gaussian (LQG) tracking control enhanced by unknown-input estimation (UIE). A systematic procedure based on numerical study is proposed to investigate the effects of UIE-related parameters on system sensitivity and stability robustness. To confront uncertainties in parametric analysis, a stability robustness index is proposed. Findings from the proposed parametric analysis not only assist effective controller design but also correct and supplement the existing knowledge in literature. Wind-tunnel experiments were conducted with comparisons drawn between standard LQG tracking control and the UIE-LQG scheme, and satisfactory performance of the VSDS under the systematically synthesized UIE-LQG control was confirmed.
Rights: ©2019 AACC
RMID: 1000000503
DOI: 10.23919/ACC.2019.8814410
Published version: https://ieeexplore.ieee.org/xpl/conhome/8789884/proceeding
Appears in Collections:Mechanical Engineering conference papers

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