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http://dx.doi.org/10.5139/JKSAS.2021.49.9.709

Improved VFM Method for High Accuracy Flight Simulation  

Lee, Chiho (Department of Aerospace Information Engineering, Konkuk University)
Kim, Mukyeom (Department of Aerospace Information Engineering, Konkuk University)
Lee, Jae-Lyun (Department of Aerospace Information Engineering, Konkuk University)
Jeon, Kwon-Su (Department of Aerospace Information Engineering, Konkuk University)
Tyan, Maxim (Department of Aerospace Information Engineering, Konkuk University)
Lee, Jae-Woo (Department of Aerospace Information Engineering, Konkuk University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.49, no.9, 2021 , pp. 709-719 More about this Journal
Abstract
Recent progress in analysis and flight simulation methods enables wider use of a virtual certification and reduces number of certification flight tests. Aerodynamic database (AeroDB) is one of the most important components for the flight simulation. It is composed of aerodynamic coefficients at a range of flight conditions and control deflections. This paper proposes and efficient method for construction of AeroDB that combines Gaussian Process based Variable Fidelity Modeling with adaptive sampling algorithm. A case study of virtual certification of a F-16 fighter is presented. Four AeroDB were constructed using different number and distribution of high-fidelity data points. The constructed database is then used to simulate gliding, short pitch, and roll response. Compliance with certification regulations is then checked. The case study demonstrates that the proposed method can significantly reduce number of high-fidelity data points while maintaining high accuracy of the simulation.
Keywords
Data Fusion; Improved Variable Fidelity Modeling; Surrogate Model; Adaptive Sampling; Aerodynamic DB; Flight Simulation;
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1 Nguyen, N. V., et al., "Multidisciplinary Unmanned Combat Air Vehicle System Design Using Multi-fidelity Model," Aerospace Science and Technology, Vol. 26, No. 1, 2013, pp. 200~210.   DOI
2 Forrester, A. I. J. and Keane, A. J., "Recent advances in surrogate-based optimization," Progress in Aerospace Sciences, Vol. 45, No. 1-3, January 2009, pp. 50~79.   DOI
3 Etz, A., "Introduction to the Concept of Likelihood and Its Applications," Advances in Methods and Practices in Psychological Science, Vol. 1, No. 1, 2018, pp. 60~69.   DOI
4 Allerton, D., "The impact of flight simulation in aerospace," Aeronautical Journal, Vol. 114, December 2010, pp. 747~756.   DOI
5 Tyan, M., Kim, M. K., Pham, V., Choi, C. K., Nguyen, T. L. and Lee, J.-W., "Development of Advanced Aerodynamic Data Fusion Techniques for Flight Simulation Database Construction," AIAA 2018 Modeling and Simulation Technologies Conference, 2018-3581.
6 Box, G. E. P. and Wilson, K. B., "On the Experimental Attainment of Optimum Conditions," Journal of the Royal Statistical Society Series B (Methodological), Vol. 13, No. 1, 1951, pp. 1~45.   DOI
7 Smith, K., "On the Standard Deviations of Adjusted and Interpolated Values of an Observed Polynomial Function and Its Constants and the Guidance They Give Towards a Proper Choice of the Distribution of Observations," Biometrika, Vol. 12, No. 1/2, 1918 pp. 1~85.   DOI
8 Matheron, G., "Principles of geostatistics," Economic Geology, Vol. 58, No. 8, December 1963, pp. 1246~1266.   DOI
9 Tyan, M., Nguyen, N. V. and Lee, J.-W., "A Tailless UAV Multidisciplinary Design Optimization Using Global Variable Fidelity Modeling," International Journal of Aeronautical and Space Sciences, Vol. 18, No. 4, 2017, pp. 662~674.   DOI
10 Tyan, M., Nguyen, N. V. and Lee, J.-W., "Improving Variable-fidelity Modeling by Exploring Global Design Space and Radial Basis Function Networks for Aerofoil Design," Engineering Optimization, Vol. 47, No. 7, 2015, pp. 885~908.   DOI
11 Nguyen, N. V., Tyan, M. and Lee, J.-W., "A Modified Variable Complexity Modeling for Efficient Multidisciplinary Aircraft Conceptual Design," Optimization and Engineering, Vol. 16, No. 2, 2015, pp. 485~505.
12 Ronch, A. D., Ghoreyshi, M. and Badcock, K. J., "On the generation of flight dynamics aerodynamic tables by computational fluid dynamics," Progress in Aerospace Sciences, Vol. 47, No. 8, 2011, pp. 597~620.   DOI
13 Haftka, R. T., "Combining Global and Local Approximations," AIAA Jornal, Vol. 29, No. 9, 1991, pp. 1523~1525.   DOI
14 Picheny, V., Ginsbourger, D., Roustant, O., Haftka, R. T. and Kim, N.-H., "Adaptive Designs of Experiments for Accurate Approximation of a Target Region," Journal of Mechanical Design, Vol. 132, No. 7, June 2010.
15 Tyan, M. and Lee, J.-W., "Efficient multiresponse adaptive sampling algorithm for construction of variable-fidelity aerodynamic tables," Chinese Journal of Aeronautics, Vol. 32, No. 3, January 2019, pp. 547~558.   DOI
16 Lee, J.-W., Research on fighter-grade high-reliability virtual flight certification technology 2nd year-end report, 2018.
17 Finck, R. D., USAF Stability and Control DATCOM, McDonnel Douglas Corporation, 1978.
18 Fox, M. C. and Forrest, D. K., "Supersonic Aerodynamic Characteristics of an Advanced F-16 Derivative Aircraft Configuration," NASA TP 3355, 1993.
19 Supplemental Flight Manual, Lockheed Martin Corporation, T.0. GR1F-16CJ-1-1, 1997.
20 Nguyen, L. T., Ogburn, M. E., Gilbert, W. P., Kibler, K. S., Brown, P. W. and Deal, P. L., "Simulator Study of Stall/PostStall Characteristics of a Fighter Airplane With Relaxed Longitudinal Static Stability," NASA TP 1538, 1979.
21 Berndt, J. S., "JSBSim: An Open Source Flight Dynamics Model in C++," AIAA Modeling and Simulation Technologies Conference and Exhibit, AIAA 2004-4923, August 2004.
22 Lee, D., Nguyen, N. V., Tyan, M., Chun, H.-G., Kim, S. and Lee, J.-W., "Enhanced multi-fidelity model for flight simulation using global exploration and the Kriging method," Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 231, No. 4, 2017, pp. 606~620.   DOI
23 Nguyen, N. V. and Lee, J.-W., "Adaptive Multifidelity Constraints Method for Efficient Multidisciplinary Missile Design Framework," Journal of Spacecraft and Rockets, Vol. 53, No. 1, 2016, pp. 184~194.   DOI