Aeroelastic scaling laws for gust load alleviation control system

Abstract Gust load alleviation (GLA) tests are widely conducted to study the effectiveness of the control laws and methods. The physical parameters of models in these tests are aeroelastic scaled, while the scaling of GLA control system is always unreached. This paper concentrates on studying the scaling laws of GLA control system. Through theoretical demonstration, the scaling criterion of a classical PID control system has been come up and a scaling methodology is provided and verified. By adopting the scaling laws in this paper, gust response of the scaled model could be directly related to the full-scale aircraft theoretically under both open-loop and closed-loop conditions. Also, the influences of different scaling choices of an important non-dimensional parameter, the Froude number, have been studied in this paper. Furthermore for practical application, a compensating method is given when the theoretical scaled actuators or sensors cannot be obtained. Also, the scaling laws of some non-linear elements in control system such as the rate and amplitude saturations in actuator have been studied and examined by a numerical simulation.

[1]  Boris Moulin,et al.  Gust Loads Alleviation Using Special Control Surfaces , 2007 .

[2]  Robert C. Scott,et al.  Aeroservoelastic Testing of a Sidewall Mounted Free Flying Wind-Tunnel Model , 2008 .

[3]  Martin Goland,et al.  Principles of aeroelasticity , 1975 .

[4]  Anthony S. Pototzky Scaling Laws Applied to a Modal Formulation of the Aeroservoelastic Equations , 2002 .

[5]  Ilya Kolmanovsky,et al.  Gust Load Alleviation Control for Very Flexible Aircraft , 2011 .

[6]  Wang Li-bo GUST RESPONSE,LOAD ALLEVIATION AND WIND-TUNNEL EXPERIMENT VERIFICATION OF ELASTIC WING , 2011 .

[7]  Eric Vartio,et al.  Gust Load Alleviation Flight Control System Design for a SensorCraft Vehicle , 2008 .

[8]  Chen Lei,et al.  Theoretical and Experimental Study of Gust Response Alleviation Using Neuro-fuzzy Control Law for a Flexible Wing Model , 2010 .

[9]  Nabil Aouf,et al.  Robust gust load alleviation for a flexible aircraft , 2000 .

[10]  W. Rodden,et al.  A doublet-lattice method for calculating lift distributions on oscillating surfaces in subsonic flows. , 1969 .

[11]  Vinod Sharma,et al.  Development of an Innovative Support System for SensorCraft Model , 2011 .

[12]  Lei Chen,et al.  Study on gust alleviation control and wind tunnel test , 2013 .

[13]  Afzal Suleman,et al.  Aeroelastic Scaling and Optimization of a Joined-Wing Aircraft Concept , 2007 .

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

[15]  Chao Yang,et al.  Design of a Gust-Response-Alleviation Online Control System Based on Neuro-Fuzzy Theory , 2013 .

[16]  P. P. Friedmann,et al.  Adaptive Control of Aeroelastic Instabilities in Transonic Flow and Its Scaling , 1997 .

[17]  Antonio De La Garza,et al.  GLA and Flutter Suppression for a SensorCraft Class Concept Using System Identification , 2008 .

[18]  Peretz P. Friedmann,et al.  Aeroelastic scaling for fixed and rotary-wing aircraft with applications , 2000 .

[19]  Sergio Ricci,et al.  Wind Tunnel Testing of an Active Controlled Wing under Gust Excitation , 2008 .

[20]  Chao Yang,et al.  Design of an Adaptive Gust Response Alleviation Control System: Simulations and Experiments , 2010 .

[21]  Carlos E. S. Cesnik,et al.  Geometrically Nonlinear Aeroelastic Scaling for Very Flexible Aircraft , 2013 .