Active Flutter Suppression of a Wind Tunnel Multiple-Actuated-Wing Model

Abstract In this study, a Multi-Input/Multi-Output (MIMO) time-delay feedback controller was designed to actively sup-press the flutter instability of a wind tunnel model of Multiple-Actuated-Wing (MAW) in the low subsonic flow re-gime. The unsteady aerodynamic forces of the MAW model were computed based on the doublet-lattice method (DLM). As the first attempt, the conventional LQG controller was designed to actively suppress the flutter of the MAW model. However, because of the time delay in the control loop, the wind tunnel test illustrated that the LQG-controlled MAW model had no guaranteed stability margins. To compensate the time delay, hence, a time-delay filter, approximated via the first-order Pade approximation, was added to the LQG controller. Based on the time-delay feedback controller, a new digital control system was constructed by using a fixed-point and embed-ded Digital Signal Processor (DSP) of high performance. Then, a number of wind tunnel tests were implemented based on the digital control system. The experimental results showed that the present time-delay feedback controller could expand the flutter boundary of the MAW model and suppress the flutter instability of the open-loop aeroelastic system effectively.

[1]  Thomas E. Noll,et al.  Active Flexible Wing Program , 1995 .

[2]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[3]  R Waszak Martin,et al.  Parameter Estimation and Analysis of Actuators for the BACT Wind-Tunnel Model , 1996 .

[4]  Haiyan Hu,et al.  Designing active flutter suppression for high-dimensional aeroelastic systems involving a control delay , 2012 .

[5]  Frederic M. Hoblit,et al.  Gust Loads on Aircraft: Concepts and Applications , 1988 .

[6]  Arie Zole,et al.  Continuous Gust Response and Sensitivity Derivatives Using State-Space Models , 1994 .

[7]  Li Daochun,et al.  Aeroservoelastic modeling and analysis of a canard-configured air-breathing hypersonic vehicles , 2013 .

[8]  D. Gangsaas,et al.  Practical gust load alleviation and flutter suppression control laws based on a LQG methodology. [Linear Quadratic Gaussian , 1981 .

[9]  Vivek Mukhopadhyay,et al.  Flutter suppression control law design and testing for the active flexible wing , 1995 .

[10]  J. R. Newsom,et al.  A method for obtaining reduced-order control laws for high-order systems using optimization techniques , 1981 .

[11]  Hu Hai-yan Active flutter suppression of an airfoil model using ultrasonic motor , 2005 .

[12]  George Platanitis,et al.  Suppression of Control Reversal Using Leading- and Trailing-Edge Control Surfaces , 2005 .

[13]  Haiyan Hu,et al.  Flutter Analysis: Using Piecewise Quadratic Interpolation with Mode Tracking and Wind-Tunnel Tests , 2010 .

[14]  Yoseph Bar-Cohen,et al.  Rotary ultrasonic motors actuated by traveling flexural waves , 1999, Smart Structures.

[15]  S. Srinathkumar,et al.  Flutter suppression for the active flexible wing - A classical design , 1995 .

[16]  Boyd Perry,et al.  Summary of an Active Flexible Wing program , 1992 .

[17]  Ye Zheng-yin Transonic flutter suppression by active control surface , 2007 .

[18]  Moshe Idan,et al.  Aeroservoelastic Interaction Between Aircraft Structural and Control Design Schemes , 1999 .

[19]  Mordechay Karpel,et al.  Time-domain aeroservoelastic modeling using weighted unsteady aerodynamic forces , 1990 .