Share:


Ground based variable stability flight simulator

Abstract

This paper discusses the development of a ground based variable stability flight simulator. The simulator is designed to meet the pilot training requirements on flying qualities. Such a requirement arose from a premier Flight-Testing School of the Indian Air Force. The simulator also provides a platform for researchers and aerospace students to understand aircraft dynamics, conduct studies on aircraft configuration design, flight mechanics, guidance & control and to evaluate autonomous navigation algorithms. The aircraft model is built using open source data. The simulator is strengthened with optimization techniques to configure variable aircraft stability and control characteristics to fly and evaluate the various aspects of flying qualities. The methodology is evaluated through a series of engineer and pilot-in-the-loop simulations for varying aircraft stability conditions. The tasks chosen are the proven CAT A HUD tracking tasks. The simulator is also reconfigurable to host an augmented fighter aircraft that can be evaluated by the test pilot team for the functional integrity as a fly-through model.

Keyword : variable stability, control characteristics, lateral modes, dutch roll, phugoid, tracking tasks

How to Cite
[1]
Chandrasekaran, K., Theningaledathil, V. and Hebbar, A. 2021. Ground based variable stability flight simulator . Aviation. 25, 1 (Apr. 2021), 22-34. DOI:https://doi.org/10.3846/aviation.2021.13564.
Published in Issue
Apr 7, 2021
Abstract Views
145
PDF Downloads
93
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Aeromag, Asia. (2013). Defense aerospace news. Society of Indian Aerospace and Defence Technologies & Industries.

CSIR-NAL. (2018). SARAS flight simulator facility. https://www.nal.res.in/en/technology/saras-flight-simulator-facility

Darken, R., McDowell, P., & Johnson, E. (2005). Projects in VR: The Delta3D open source game engine, computer graphics and applications. IEEE, 25(3), 10–12. https://doi.org/10.1109/MCG.2005.67

Engineer in the Loop simulator (ELS). (2016). Aerospace testing facilities in India. http://atfi.dlis.du.ac.in/aerodemo.php?aeroid=131

Gholkar, A., Isaacs, A. & Arya, H. (2004). Hardware in loop simulator for mini air vehicle. http://www.casde.iitb.ac.in/store/publications/2004/hils-singapore.pdf

Hodgkinson, J. (1999). Aircraft handling qualities. AIAA Education Series. Wiley.

Kamali, C., Hebbar, A., Vijeesh, T., & Moulidharan, S. (2014). Real-time desktop flying qualities evaluation simulator. Defense Science Journal, 64(1), 27–32. https://doi.org/10.14429/dsj.64.4961

Kamali, C. & Jain, S. (2016). Hardware in the loop simulation for a mini UAV (pp. 700–705). IFAC- ACODS 2016. Science Direct, Elsevier. https://doi.org/10.1016/j.ifacol.2016.03.138

Matos, G. E. L., Portapas, V., Dussart, G. X., Lone, M. M., & Coetzee, E. (2018). Pilot-in-the-loop flight simulation of flexible aircraft in Matlab/Simulink: Implementation and coding peculiarities [Conferense presentation]. 2018 AIAA Modeling and Simulation Technologies Conference. Kissimmee, FL. https://doi.org/10.2514/6.2018-0426

MIL-F-8785C. (1980). Military specification – flying qualities of piloted airplanes (pp. 22–23). USAF. http://everyspec.com/MIL-SPECS/MIL-SPECS-MIL-F/MIL-F-8785C_5295/

MIL-STD-1797A. (1990). Department of Defense handbook: Flying qualities of piloted Aircraft. USAF. http://everyspec.com/MIL-STD/MIL-STD-1700-1799/MIL-STD-1797A_NOTICE-3_39377/

Mirza, A., Paassen, M. M. van, Mulder, T. J., & Mulder, M. (2019). Simulator evaluation of a medium-cost variable stability system for a business jet. In AIAA 2019-0370, Session: Flight Envelope Protection and Simulation. https://doi.org/10.2514/6.2019-0370

Mitchell, D. G., Kish, B. A., & Seo, J. S. (1998). A flight investigation of pilot-induced oscillation due to rate limiting. In Proceedings of Aerospace Conference, IEEE, 3, 59–74. https://doi.org/10.1109/AERO.1998.685777

Nelson, R. C. (1989). Flight stability and automatic control (pp. 130–165). McGraw-Hill Inc.

Nocedal, J., & Wright, S. J. (1999). Numerical optimization. Springer. https://doi.org/10.1007/b98874

Pashilkar, A. A. (2014). Trends in simulation technologies for aircraft design. Journal of Aerospace sciences and technologies, 66(1), 1–11.

Pettersson, H. (2002). Variable stability transfer function simulation (MS Thesis). Virginia Polytechnic Institute and State University, USA. http://hdl.handle.net/10919/33503

Portapas, V., & Cooke, A. (2020). Simulated pilot in the loop testing of handling qualities of the flexible wing aircraft. Aviation, 24(1), 1–9. https://doi.org/10.3846/aviation.2020.12175

Pradeep, S. (1998). A century of phugoid approximations. Aircraft Design, 1, 89–104. https://doi.org/10.1016/S1369-8869(98)00011-1

Rauw, M. (2001). FDC 1.2 – A Simulink toolbox for flight dynamics and control analysis (2nd ed.). http://www.dutchroll.com

Roskam, J. (1995). Airplane flight dynamics and automatic flight controls – Part I (pp. 616–624). DAR corporation. Lawrence, KS.

Scholten, P. A., Paassen, M. M. van, & Mulder, M. (2020). A variable stability in-flight simulation system using incremental non-linear dynamic inversion. In AIAA 2020-0852, Session: Aircraft Control II. https://doi.org/10.2514/6.2020-0852

Wang, R., & Qian, X. (2010). OpenSceneGraph 3.0, Beginner’s Guide (pp. 7–17). Packt Publishing, UK.

Weingarten, N. C. (2005). History of in-flight simulation at General Dynamics. AIAA Journal of Aircraft, 42(2), 290–298. https://doi.org/10.2514/1.4663