Parameter Estimation using Maximum Likelihood Method from Flight Data at High Angles of Attack
The paper presents the modeling of nonlinear
longitudinal aerodynamics using flight data of Hansa-3 aircraft at
high angles of attack near stall. The Kirchhoff-s quasi-steady stall
model has been used to incorporate nonlinear aerodynamic effects in
the aerodynamic model used to estimate the parameters, thereby,
making the aerodynamic model nonlinear. The Maximum Likelihood
method has been applied to the flight data (at high angles of attack)
for the estimation of parameters (aerodynamic and stall
characteristics) using the nonlinear aerodynamic model. To improve
the accuracy level of the estimates, an approach of fixing the strong
parameters has also been presented.
[1] Maine, R. E., and Iliff, K. W., "Identification of Dynamic Systems -
Application to Aircraft - Part 1: Output Error Approach," AGARD-AG-
300, Vol. 3, Part 1, Dec. 1986.
[2] Greenberg, H., "A Survey of Methods for Determining Stability
Parameters of an Airplane from Dynamic Flight Measurements," NACA
TN-2340, April 1951.
[3] Jategaonkar, R. V., Flight Vehicle System Identification - A Time
Domain Methodology, AIAA Progress in Aeronautics and Astronautics,
Vol. 216, AIAA, Reston, VA, Aug 06.
[4] Kumar, Rakesh and Ghosh, A.K., "Nonlinear Aerodynamic Modeling of
Hansa-3 Aircraft using Neural Gauss-Newton Method", Journal of
Aerospace Sciences and Technologies, Vol.63, No.3, August, 11
[5] Goman, M. & Khrabrov, A., "State-space representation of aerodynamic
characteristics of an aircraft at high angles of attack," J. of Aircraft, Vol.
31, No. 51, 1994.
[6] Greenwell, D.I., "A Review of Unsteady Aerodynamic Modeling for
Flight Dynamics of Manoeuvrable Aircraft," AIAA Paper, 2004-5276,
2004.
[7] Fischenberg, D., "Identification of an Unsteady Aerodynamic Stall
Model from Flight Test Data," AIAA Paper, 95-3438, 1995.
[1] Maine, R. E., and Iliff, K. W., "Identification of Dynamic Systems -
Application to Aircraft - Part 1: Output Error Approach," AGARD-AG-
300, Vol. 3, Part 1, Dec. 1986.
[2] Greenberg, H., "A Survey of Methods for Determining Stability
Parameters of an Airplane from Dynamic Flight Measurements," NACA
TN-2340, April 1951.
[3] Jategaonkar, R. V., Flight Vehicle System Identification - A Time
Domain Methodology, AIAA Progress in Aeronautics and Astronautics,
Vol. 216, AIAA, Reston, VA, Aug 06.
[4] Kumar, Rakesh and Ghosh, A.K., "Nonlinear Aerodynamic Modeling of
Hansa-3 Aircraft using Neural Gauss-Newton Method", Journal of
Aerospace Sciences and Technologies, Vol.63, No.3, August, 11
[5] Goman, M. & Khrabrov, A., "State-space representation of aerodynamic
characteristics of an aircraft at high angles of attack," J. of Aircraft, Vol.
31, No. 51, 1994.
[6] Greenwell, D.I., "A Review of Unsteady Aerodynamic Modeling for
Flight Dynamics of Manoeuvrable Aircraft," AIAA Paper, 2004-5276,
2004.
[7] Fischenberg, D., "Identification of an Unsteady Aerodynamic Stall
Model from Flight Test Data," AIAA Paper, 95-3438, 1995.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:49302", author = "Rakesh Kumar and A. K. Ghosh", title = "Parameter Estimation using Maximum Likelihood Method from Flight Data at High Angles of Attack", abstract = "The paper presents the modeling of nonlinear
longitudinal aerodynamics using flight data of Hansa-3 aircraft at
high angles of attack near stall. The Kirchhoff-s quasi-steady stall
model has been used to incorporate nonlinear aerodynamic effects in
the aerodynamic model used to estimate the parameters, thereby,
making the aerodynamic model nonlinear. The Maximum Likelihood
method has been applied to the flight data (at high angles of attack)
for the estimation of parameters (aerodynamic and stall
characteristics) using the nonlinear aerodynamic model. To improve
the accuracy level of the estimates, an approach of fixing the strong
parameters has also been presented.", keywords = "Maximum Likelihood, nonlinear, parameters, stall.", volume = "5", number = "11", pages = "2103-6", }