Application of analytical redundancy of measurements to increase the reliability of aircraft attitude control
This article presents basic methodology and some algorithms for estimating attitude and heading angles of an unmanned or optionally piloted aircraft in the event of a partial failure of the on-board measurement systems. The aim of the research is to develop effective estimation algorithms of non-measurable aircraft state variables. Correlation between quantities describing kinematics of the aircraft’s movement in space were used. Properties of the estimation algorithms are illustrated by exemplary calculations using real data recorded during test flights of the optionally controlled MP-02A Czajka airplane. Quality of the estimated signals allows to continue flight in case of a non-catastrophic failure of the measurement systems. Developed algorithms are used in control systems designed at the Department of Avionics and Control of the Rzeszów University of Technology, dedicated to unmanned and optionally controlled light aircraft.
Keyword : analytical redundancy, estimation of non-measured signals, reliability of measurements, control of aircraft, general aircraft, flight testing, error of estimation
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Brandl, A., Lerro, A., Battipede, M., & Gili, P. (2019, 3–5 April). Air data virtual sensor: A data-driven approach to identify flight test data suitable for the learning process. In 5th CEAS Conference on Guidance, Navigation and Control (EuroGNC) (pp. 1–16). Milano, Italy.
Dhayalan, R., Subrahmanyam, S., & Ajoy Kanti, G. (2018). Parameter estimation of UAV from flight data using neural network. Aircraft Engineering and Aerospace Technology, 90(2), 302–311. https://doi.org/10.1108/AEAT-03-2016-0050
Dołęga, B., Kopecki, G., & Tomczyk, A. (2016, 22–23 June). Possibilities of using software redundancy in low cost aeronautical control systems. In The 3rd IEEE International Workshop on Metrology for Aerospace (MetroAeroSpace 2016) (pp. 33–37). University of Florence. https://doi.org/10.1109/MetroAeroSpace.2016.7573181
Dołęga, B., Kopecki, G., & Tomczyk, A. (2017). Analytical redundancy in control systems for unmanned aircraft and optionally piloted vehicles. Transactions of the Institute of Aviation, 2(247), 31–44. https://doi.org/10.2478/tar-2017-0013
Heller, M., Myschiky, S., Holzapfelz, F., & Sachs, G. (2003, 11–14 August). Low-cost approach based on navigation data for determining angles of attack and sideslip for small aircraft. In AIAA Guidance, Navigation, and Control Conference and Exhibition (Paper AIAA 2003-5777) (pp. 1–12). Austin, TX, USA.
Kopecki, G., Pieniążek, J., Rogalski, T., Rzucidło, P., & Tomczyk, A. (2008, 11–14 November). A proposal of navigation and control system for small UAV. In UAV World 2008 Conference (pp. 1–7). Frankfurt/Main.
Kopecki, G., & Tomczyk, A. (2005, 3–6 October). A simple redundancy method for pitch and bank angles estimation. In SAE World Aerospace Congress, AeroTech Congress & Exhibition (SAE-2005-01-3362) (pp. 1–6). Dallas/Fort Worth, TX, USA. https://doi.org/10.4271/2005-01-3362
Kopecki, G., Tomczyk, A., & Rzucidlo, P. (2013). Algorithms of measurement system for a micro UAV. In Solid State Phenomena (Vol. 198, pp. 165–170). Trans Tech Publications, Ltd. https://doi.org/10.4028/www.scientific.net/SSP.198.165
Myschik, S., & Sachs, G. (2006). On-board wind measurement system based on miniaturized navigation sensors. In 25th International Congress of the Aeronautical Sciences (ICAS) (pp. 1–9). Hamburg, Germany.
Nowak, D., Tomczyk, A., & Kopecki, G. (2016). Analysis of the quality control of UAVs for the case of the analytical redundancy of measurements. In AIAA Modeling and Simulation Technologies Conference (AIAA 2016-3217 Paper) (pp. 1–6). Washington. https://doi.org/10.2514/6.2016-3217
Oosterom, M., & Babuska, R. (2006, July). Virtual sensor for the angle-of-attack signal in small commercial aircraft. In 2006 IEEE International Conference on Fuzzy Systems (pp. 1396–1403). Vancouver, Canada. https://doi.org/10.1109/FUZZY.2006.1681892
Schettini, F., Di Rito, G., Galatolo, R., & Denti, E. (2016, 22–23 June). Sensor fusion approach for aircraft state estimation using inertial and air-data systems. In 2016 IEEE Metrology for Aerospace (MetroAeroSpace) (pp. 624–629). Florence, Italy. https://doi.org/10.1109/MetroAeroSpace.2016.7573289
Suarez, A., Heredia, G., & Ollero, A. (2018). Cooperative virtual sensor for fault detection and identification in multi-UAV Applications. Journal of Sensors, 2018, 1–19. https://doi.org/10.1155/2018/4515828
Titterton, D. H., & Weston, J. L. (1997). Strapdown inertial navigation technology. Peter Peregrimus.
Tomczyk, A. (2006). Simple virtual attitude sensors for general aviation aircraft. Aircraft Engineering and Aerospace Technology, 78(4), 310–314. https://doi.org/10.1108/17488840610675582