Identification of Engine Thrust and Aerodynamic Drag Force According to Flight Test Data with Smoothing of Random Measurement Errors
- Authors: Korsun O.N.1,2, Poplavsky B.K.2, Stulovskii A.V.1, Om M.2
-
Affiliations:
- Moscow Aviation Institute, National Research University
- State Research Institute of Aviation Systems
- Issue: No 3 (2024)
- Pages: 69-84
- Section: INFORMATION PROCESSING AND IDENTIFICATION
- URL: https://rjonco.com/0002-3388/article/view/676415
- DOI: https://doi.org/10.31857/S0002338824030066
- EDN: https://elibrary.ru/UPYMJE
- ID: 676415
Cite item
Abstract
In this paper, an approach is proposed to identify the thrust force of engines and the aerodynamic drag force of aircraft according to flight test data. To obtain separate estimates of thrust and drag forces, measurements of longitudinal and normal load factors, angle of attack, true airspeed and barometric altitude are used. The advantage of the proposed approach is that it does not require the use of gas-dynamic models of the engine, flying laboratories, force measurements in the engine mounting points, or the installation of additional sensors in the engine. Despite these advantages, in practice, such an approach is usually not used, since it leads to a poorly conditioned or incorrect identification problem due to the high degree of linear relationship between the vectors of thrust and drag forces. This article suggests ways to solve the problem of poor conditionality, consisting of the development of a special test maneuver that improves the degree of conditionality of the problem, as well as the use of the special smoothing of random measurement errors using the equations of motion of the aircraft.
About the authors
O. N. Korsun
Moscow Aviation Institute, National Research University; State Research Institute of Aviation Systems
Author for correspondence.
Email: marmotto@rambler.ru
Russian Federation, Moscow; Moscow
B. K. Poplavsky
State Research Institute of Aviation Systems
Email: marmotto@rambler.ru
Russian Federation, Moscow
A. V. Stulovskii
Moscow Aviation Institute, National Research University
Email: marmotto@rambler.ru
Russian Federation, Moscow
Moung Htang Om
State Research Institute of Aviation Systems
Email: marmotto@rambler.ru
Russian Federation, Moscow
References
- Васильченко К.К., Леонов В.А., Пашковский И.М., Поплавский Б.К. Летные испытания самолетов. М.: Машиностроение, 1996. 745 c.
- PART 25; Airworthiness Standard: Transport Category Airplanes. FAA. Department of Transport: Washington, DC, USA, 1999.
- SAE AIR 1703A; In-Flight Thrust Determination. Society of Automotive Engineers: Warrendale, PA, USA, 2006.
- SAE AIR 5450; Advanced Ducted Propulsor In-Flight Thrust Determination. Society of Automotive Engineers: Warrendale, PA, USA, 2016.
- Добрянский Г.В., Мартьянова Т.С. Динамика авиационных газотурбинных двигателей. М.: Машиностроение, 1989. 240 с.
- Kurtenbach F.J., Burcham F.W. Flight Evaluation of a Simplified Gross Thrust Calculation Technique Using an F100 Turbofan Engine in an F-15 Airplane; NASA Technical Paper 1782; NASA: Washington, DC, USA, 1981.
- Conners T.R. Measurement Effects on the Calculation of In-Flight Thrust for an F404 Turbofan Engine; NASA Technical Memorandum 4140; NASA: Washington, DC, USA, 1989.
- Lee J., Yang I., Yang S., Kwak J.S. Uncertainty Analysis and ANOVA for the Mesurement Reliability Estimation of Altitude Engine Test // J. Mech. Sci. Technol. 2007. V. 21. P. 664–671.
- Hoff J.C. A Probabilistic In-flight Thrust Estimation Process // Proc. SFTE 39th Annual Symposium. Fort Worth, Brazil, 2008.
- Hoff J.C., Barbosa J.R. Application of a Stochastic In-Flight Thrust Determination Process to Real Engine Data // Proc. 3rd CTA DLR Workshop on Data Analysis and Flight Control. S.J. Campos, Brasil, 2009.
- Andreev S.P., Makarov V.E. The Numerical Analysis of Impact of Changes in Flight Conditions and in Engine’s Regime at Cruise on Airplane’s Aerodynamic Characteristics // Proc. 29th Congress of the International Council of the Aeronautical Sciences ICAS 2014. St. Petersburg, Russia, 2014.
- Lin Z., Xiao H., Zhang X., Wang Z. Thrust Prediction of Aircraft Engine Enabled by Fusing Domain Knowledge and Neural Network Model. Aerospace. 2023. V. 10. P. 493.
- Muhammad H., Muhardi H., Kuntjoro W., Sritjahjono B.E. In-Flight Thrust Determination by Load Measurement on the Engine Mounting System // Proc. ICAS 2000. Harrogate, UK, 2000. P. 533.1–533.7.
- Girija G., Parameswaran V., Raol J.R., Srinathkumar S. Estimation of Lift and Drag Characteristics of an Aircraft from Flight Data // J. Aeronaut. Soc. India. 1991. V. 43. P. 285–292.
- Bowers A.H., Pahle J.W. Thrust Vectoring on the NASA F-18 High Alpha Research Vehicle; NASA/TM 4771; NASA: Washington, DC, USA, 1996.
- Khasyofi M., Hartono F. Development Testing Method and Analysis Static Thrust for Propeller Based Propulsion // Proc. Intern. Conf. on Aerospace and Aviation. Bandung City, Indonesia, 2018.
- Tikhonov A.N., Arsenin V.Y. Solution of Ill-Posed Problems; Winston & Sons: Washington, DC, USA, 1977; ISBN 0-470-99124-0.
- Klein V., Morelli E.A. Aircraft System Identification: Theory and Practice; AIAA: Reston, VA, USA, 2006. 499 р.
- Maine R.E., Iliff K.W. Identification of Dynamic Systems: Theory and Formulation; NASA RP 1138; NASA: Washington, DC, USA, 1985. 160p.
- Korsun O.N., Poplavsky B.K., Prihodko S.J. Intelligent Support for Aircraft Flight Test Data Processing in Problem of Engine Thrust Estimation // Procedia Comput. Sci. 2017. V. 103. P. 82–87.
- Korsun O.N., Poplavsky B.K., Om, M.H. Identification of the Engine Thrust Force Using Flight Test Data // Proc. Intern. Conf. on Aerospace System Science and Engineering ICASSE 2021. Lecture Notes in Electrical Engineering / Eds Z. Jing, D. Strelets. Singapore: Springer, 2023. V. 849.
- Korsun O.N., Nikolaev S.V., Om M.H. Detection of Dynamic Errors in Aircraft Flight Data // Proc. IOP Conf. Series: Materials Science and Engineering. Moscow, Russia, 2021. V. 1027. P. 012011.
- Korsun O.N., Nikolaev S.V., Pushkov S.G. Algorithm for Estimating Systematic Measurement Errors for Air Velocity, Angle of Attack, and Sliding Angle in Flight-testing // J. Comput. Syst. Sci. Int. 2016. V. 55. P. 446–457.
- Korsun O.N., Om M.H. The Practical Rules for Aircraft Parameters Identification Based on Flight Test Data // Metascience Aerosp. 2024. V. 1. P. 53–65.
Supplementary files
