Drag Coefficient Identification from Flight Data via Optimal Observer

Abstract:

. For effectively using flight test data to extract drag coefficient, an optimal observer based on parameter estimation technique is proposed. The point mass dynamic equation is used to form the Unscented Kalman Filter (UKF) and the smoother (URTSS) for the estimation of a projectile’s flight states. The projectile flight states are then solved and utilized to extract the drag coefficient information using the observer techniques. The simulation verifies the feasibility of the method: with measurement noise, the accurate drag coefficient is obtained by using the smoother.

• Periodical: Applied Mechanics and Materials (Volumes 687-691)
• Pages: 787-790
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.687-691.787
• Online since: November 2014
• Authors: Rong Jun Yang, Yao Ye
• Keywords: Flight Data Processing, Kalman Filter, Parameter Identification, Smoother

References

[1] G Chowdhary, R Jategaonkar. Aerodynamic parameter estimation from flight data applying extended and unscented Kalman filter, Aerospace Science and Technology, 14: 106 -117. (2010).

DOI: 10.1016/j.ast.2009.10.003

[2] R H Whyte, A Jeung, J W Bradley. Chapman-Kirk reduction of free-flight range data to obtain nonlinear aerodynamic coefficients. Army Ballisitc Research Lab, AD0762148. (1973).

[3] D K CHRISTOPHER Christopher, V T Paul. Hyper-X post-flight trajectory reconstruction. Journal of Spacecraft and Rockets, 43(1): 105-115. (2006).

[4] R Yang, L Wang, G Xiu. Trajectory reconstruction using radar measured data. Journal of Ballistics, 23(3): 43-46. (2011).

[5] J J Simon, J K Uhlmann. Unscented filtering and nonlinear estimation. Proceedings of the IEEE, 92(3): 401-421. (2004).

[6] S Sarkka. Unscented Rauch-Tung-Striebel smoother. IEEE Transactions on Automatic Control, 53(3): 845-849. (2008).

DOI: 10.1109/tac.2008.919531