Ball-Nose Vehicle's Atmospheric Parameters Estimation Based on Airflow Velocity

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The airflow velocity over blunt sphere is used to calculate ball-nose vehicle's atmospheric parameters about angle of attack, angle of sideslip and flight speed. A final model satisfying compressible flow is developed, and the expressions for atmospheric parameters is derived from three strategically selected sensors' velocity. The expressions of atmospheric parameters are verified through Fluent stimulation. The result of stimulation demonstrates a good accuracy of angles and flight speed, and the system has a good real-time performance.

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3-7

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November 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] M. C. Davis, J. W. Pahle, J. T. White and L. A. Marshall. Development of a flush air-data sensing system on a sharp-nosed vehicle for flight at mach 3 to 8[R]. 2000, NASA/TM-2000-209017.

DOI: 10.2514/6.2000-504

Google Scholar

[2] Whitmore S A, Davis R J, Michael J F. In-flight demonstration of a real-time flush air-data sensing(RT–FADS) system[R].NASA-TM-104314,1995:1~17.

DOI: 10.2514/6.1995-3433

Google Scholar

[3] Whitmore S A, Moes T R, Leondes C T. Failure detection and fault management techniques for flush air-data sensing system[R]. NASA-TM-4335, 1992: 1~19.

DOI: 10.2514/6.1992-263

Google Scholar

[4] Whitmore S A, Moes T R. Measurement uncertainty and feasibility study of a flush air-data system for a hypersonic flight experiment[R]. NASA-TM-4627, 1994: 1~18.

Google Scholar

[5] Cheng Chen, Jianwu Tao and Bin Zeng, Estimation of airspeed based on acoustic vector sensor array[C], In Proceedings: Proceedings of the 2012 IEEE 11th International Conference on Signal Processing (ICSP 2012), Vol. 1: 307-310, October (2012).

DOI: 10.1109/icosp.2012.6491662

Google Scholar

[6] Zeng Bin , Tao Jianwu, Yu Fei, Qian Lilin, A new airspeed estimation method for supersonic flow[C], In Proceedings: Proceedings of 2013 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2013), pp: 1268-1271, August (2013).

DOI: 10.1109/icspcc.2013.6663889

Google Scholar

[7] John D. Anderson, Jr. Fundamentals of Aerodynamics[M]. New York, McGraw-Hill. (2011).

Google Scholar

[8] Qian Yiji. Atmost Aerodynamics[M]. Beijing, Beijing University Press. (2006).

Google Scholar

[9] http: /www. microflown-avisa. com/acoustic-localisation/AVS. html.

Google Scholar

[10] Ding Yuan, Wang Qing. ANSYS ICEM CFD from learner to master[M]. Beijing, Tsinghua University Press, (2013).

Google Scholar

[11] Tang Jiapeng. FLUENT 14. 0 super-learning manual[M]. Beijing, Posts & Telecom Press, (2013).

Google Scholar

[12] Microflowen. http: /www. microflown-avisa. com/acoustic-localisation/AVS. html.

Google Scholar

[13] M. C. Davis, J. W. Pahle, J. T. White and L. A. Marshall. Development of a flush air-data sensing system on a sharp-nosed vehicle for flight at mach 3 to 8[R]. 2000, NASA/TM-2000-209017.

DOI: 10.2514/6.2000-504

Google Scholar