Aerodynamic Modeling and System Identification from Flight Data

System identification is fundamental to any observed dynamic process. This overview presentation brings out why and what system identification is as applied to flight vehicles. A historical background is briefly provided, tracing the developments to the 18th Century and early flight experiments to 1920s. This is followed by highlighting the unified Quad-M approach to flight vehicle system identification that has evolved over the last three decades. Several examples are presented, covering: 1) generation of complete aerodynamic databases, 2) estimation of nonlinear models for control surface effectiveness and stall hysteresis, 3) aerodynamic effects due to landing gear, and 4) Air drop. Some aspects of model validation are brought out. Finally, diversified applications to other flight vehicles are briefly elaborated to demonstrate the wide domain of applicability. The talk is concluded by indicating the possible future directions of work.

[1]  Aharon Isser,et al.  A Model of the Unsteady Aerodynamics of a Hovering Helicopter Rotor That Includes Variations of the Wake Geometry , 1995 .

[2]  R. V. Jategaonkar,et al.  Identification of C-160 Simulator Data Base from Flight Data , 1994 .

[3]  R. V. Jategaonkar,et al.  ESTIMA – an integrated software tool for nonlinear parameter estimation , 2002 .

[4]  Detlef Rohlf,et al.  Global Model Approach for X-31 VECTOR System Identification , 2005 .

[5]  D Vicroy Dan,et al.  Characterizing the Hazard of a Wake Vortex Encounter , 1997 .

[6]  V. Klein,et al.  Compatibility check of measured aircraft responses using kinematic equations and extended Kalman filter , 1977 .

[7]  R. Jategaonkar,et al.  Bounded-Variable Gauss-Newton Algorithm for Aircraft Parameter Estimation , 2000 .

[8]  Dirk Schawe,et al.  Aerodynamic design assessment of Strato 2C and its potential for unmanned high altitude airborne platforms , 2002 .

[9]  Vladislav Klein,et al.  Estimation of aircraft aerodynamic parameters from flight data , 1989 .

[10]  R. V. Jategaonkar,et al.  Identification of Actuation System and Aerodynamic Effects of Direct-Lift-Control Flaps , 1993 .

[11]  Dan D. Vicroy,et al.  Model Validation of Wake-Vortex / Aircraft Encounters , 2000 .

[12]  P. G. Hamel,et al.  The Role of System Identification for Flight Vehicle Applications - Revisited , 1999 .

[13]  R. V. Jategaonkar,et al.  Identification of Speed Brake, Air-Drop, and Landing Gear Effects from Flight Data , 1997 .

[14]  Graham C. Goodwin,et al.  Aircraft Flight Data Compatibility Checking Using Maximum Likelihood and Extended Kalman Filter Estimation , 1985 .

[15]  Peter G. Hamel,et al.  Advances in rotorcraft system identification , 1997 .

[16]  J. Leishman,et al.  State-space representation of unsteady airfoil behavior , 1990 .

[17]  Thomas L. Trankle,et al.  Identification of a nonlinear aerodynamic model of the F-14 aircraft , 1995 .

[18]  R. E. Maine,et al.  AGARD Flight Test Techniques Series. Volume 3. Identification of Dynamic Systems - Applications to Aircraft. Part 1. The Output Error Approach , 1986 .

[19]  D. Fischenberg,et al.  Identification of STRATO 2C Aerodynamic Data Base. Part 1: Low Speed, 0 - 30000 ft. , 1995 .

[20]  Mikhail Goman,et al.  State-Space Representation of Aerodynamic Characteristics of an Aircraft at High Angles of Attack , 1994 .

[21]  R. V. Jategaonkar,et al.  Evaluation of Parameter Estimation Methods for Unstable Aircraft , 1994 .

[22]  D. Fischenberg,et al.  Identification of an Unsteady Aerodynamic Stall Model from Flight Test Data. , 1995 .

[23]  R. V. Jategaonkar,et al.  Identification of DO-328 Aerodynamic Database for a Level D Flight Simulator. , 1997 .

[24]  R. V. Jategaonkar,et al.  Evolution of flight vehicle system identification , 1996 .

[25]  Wilhelm Gockel,et al.  IDENTIFICATION OF DORNIER-328 REVERSIBLE FLIGHT CONTROL SYSTEMS , 1998 .

[26]  D. Fischenberg,et al.  S-WAKE. Results of Flight Test Data Analysis , 2002 .

[27]  Roberto Celi,et al.  Helicopter Flight Dynamic Simulation with Refined Aerodynamics and Flexible Blade Modeling , 2000 .

[28]  A.M.H. Nieuwpoort,et al.  Determination of the mathematical model for the new dutch government civil aviation flying school flight simulator , 1987 .

[29]  Paul Ray,et al.  Federal Aviation Administration flight simulation standards - A regulatory update , 1995 .

[30]  David A. Peters,et al.  Theoretical prediction of dynamic inflow derivatives , 1980 .

[31]  R. V. Jategaonkar,et al.  CALIBRATION OF FIVE-HOLE PROBE FOR FLOW ANGLES FROM DYNAMIC AND TOWER FLY-BY MANEUVERS , 2002 .

[32]  L. Allen,et al.  Evolution of flight simulation , 1993 .

[33]  Kendall Neville,et al.  Flight update of aerodynamic math model , 1993 .

[34]  Bernard Gimonet,et al.  A systematic approach to nonlinear rotorcraft model identification , 2002 .

[35]  Detlef Rohlf,et al.  X-31A System Identification Using Single-Surface Excitation at High Angles of Attack. , 1996 .