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Full-scale simulator to test a control system of an engine-propeller powerplant of a convertible aerial vehicle

https://doi.org/10.26467/2079-0619-2024-27-1-61-71

Abstract

The article presents the results of work involved with developing a full-scale simulator for research into determining the structure and parameters of the control system for unmanned aerial copter-type vehicles with a powerplant comprising electric motors with fixed-pitch propellers. The features of the engineering implementation of the simulator, taking into account the prospects for its development in terms of greater maneuverability (pitch, roll and yaw), are presented. The implemented principle of the Simulink integration – a model of the control object, a controller based on the Arduino platform, a gyroscope-accelerometer to organize feedbacks for the purpose of forming algorithms of the automatic and positional (manual) pitch angle control, manual motor revs control is described. The analysis of the full-scale simulation results in terms of the quality of transients and power costs for various settings of the PID-regulator, which provides generating a signal of electric motor revolutions, is presented. It is concluded that it is feasible to create and use an experimental base to justify the use of adaptive control algorithms for unmanned aerial copter-type vehicles with elements of artificial intelligence to ensure the required flying characteristics in a wide range of properties of control objects.

About the Authors

D. V. Vereshchikov
Military Educational and Scientific Center of Air Forces “N.E. Zhukovsky and Yu.A. Gagarin Academy of Air Forces”
Russian Federation

Dmitry V. Vereshchikov - Candidate of Technical Sciences, Associate Professor of the Aviation Complexes and Aircraft Design Chair, Military Educational and Scientific Centre of Air Forces “N.E. Zhukovsky and Yu.A. Gagarin Academy of Air Forces”.

Voronezh



I. K. Makarov
Military Educational and Scientific Center of Air Forces “N.E. Zhukovsky and Yu.A. Gagarin Academy of Air Forces”
Russian Federation

Ilya K. Makarov - Candidate of Technical Sciences, Associate Professor of the Aviation Complexes and Aircraft Design Chair, Military Educational and Scientific Center of Air Forces “N.E. Zhukovsky and Yu.A. Gagarin Academy of Air Forces “.

Voronezh



I. S. Moiseeva
Military Educational and Scientific Center of Air Forces “N.E. Zhukovsky and Yu.A. Gagarin Academy of Air Forces”
Russian Federation

Irina S. Moiseeva - Candidate of Technical Sciences, Associate Professor of the Aviation Complexes and Aircraft Design Chair, Military Educational and Scientific Center of Air Forces “N.E. Zhukovsky and Yu.A. Gagarin Academy of Air Forces”.

Voronezh



S. M. Barantsev
Military Educational and Scientific Center of Air Forces “N.E. Zhukovsky and Yu.A. Gagarin Academy of Air Forces”
Russian Federation

Sergey M. Barantsev - Candidate of Technical Sciences, Associate Professor of the Aviation Complexes and Aircraft Design Chair, Military Training and Scientific Center of Air Forces “N.E. Zhukovsky and Yu.A. Gagarin Academy of Air Forces”.

Voronezh



References

1. Vereshchikov, D.V., Nikolayev, S.V., Razuvayev, D.V. (2018). Aircraft control systems: Textbook. Voronezh: VUNTS VVS “VVA”, 322 p. (in Russian)

2. Myshkin, L.V. (2006). Forecasting the development of aviation technics: the theory and practice. Moscow: FIZMATLIT, 304 p. (in Russian)

3. Robinson, T. (2017). Train virtual, fight easy. Royal aeronautical society, no. 6 (44), pp. 16–19. Available at: https://www.aerosociety.com/news/train-virtual-fight-easy (accessed: 18.06.2023).

4. Heinemann, S., Müller, H.A., Suleman, A. (2018). Toward smarter autoflight control system infrastructure. Journal of Aerospace Information Systems, vol. 15, no. 6, pp. 353–365. DOI: 10.2514/1.I010565 (accessed: 18.06.2023).

5. Bizin, G.A., Tikhonov, V.N., Toropov, V.A. (2013). Defining characteristics of stability and controllability of airplanes in flight trials: Monograph. Volgograd: Izdatelstvo VolGU, 410 p. (in Russian)

6. Efremov, A.V., Zakharchenko, V.F., Ovcharenko, V.N. et al. (2011). Flight dynamics: textbook for universities, in Byuschgens G.S. (Ed.). Moscow: Mashinostroyeniye, 776 p. (in Russian)

7. Levitsky, S.V., Sviridov, N.A. (2008). Flight dynamics: a textbook for technical universities, in Levitsky S.V. (Ed.). Moscow: Izdatelstvo VVIA im. N.Ye. Zhukovskogo, 526 p. (in Russian)

8. Vereshchagin, Y.O., Kostin, P.S., Podkuiko, T.A., Vereschikov, D.V. (2011). Application of seminatural modelling for research of flight characteristics of planes on chair of aviation complexes and a design of flying machines. Vestnik VGTU, vol. 7, no. 11-2, pp. 12–14. (in Russian)

9. Kostin, P.S., Vereshchagin, Y.O., Voloshin, V.A. (2015). Programmno-modelling complex for seminatural modeling of dynamics of the maneuverable plane. Trudy MAI, no. 81, 30 p. Available at: http://trudymai.ru/published.php?ID=57735 (accessed: 18.06.2023). (in Russian)

10. Beylin, V.P., Naralenkov, M.K. (2015). A spatial model of aircraft flight in manual automated control. Nauchnyye chteniya po aviatsii, posvyashchennyye pamyati N.Ye. Zhukovskogo, no. 3, pp. 85–89. (in Russian)

11. Zhuravsky, K.A., Filatov, V.K. (2020). Creation of a model of the aircraft's longitudinal motion in the Matlab@Simulink simulation complex. In: Gagarinskiye chteniya – 2020: sbornik tezisov dokladov XLVI Mezhdunarodnoy molodezhnoy nauchnoy konferentsii. Moscow: MAI, p. 117. (in Russian)

12. Vereshchikov, D.V., Razuvaev, D.V., Kostin, P.S. (2016). Applied computer science: Application Matlab@Simulink for the decision of practical problems: Tutorial. Voronezh: VUNTS VVS “VVA”, 104 p. (in Russian)

13. Efremov, A.V. (2017). Plane – pilot system. Regularities and mathematical simulation of the pilot behavior: Monograph. Moscow: Izdatelstvo MAI, 196 p. (in Russian)

14. Efremov, A.V., Tjaglik, M.S., Tiumentzev, U.V., Wenqian, T. (2016). Pilot behavior modeling and its application to manual control tasks. IFAC-PapersOnLine, vol. 49, no. 32, pp. 159–164. DOI: 10.1016/j.ifacol.2016.12.207 (accessed: 18.06.2023).

15. Shtovba, S.D. (2007). Designing fuzzy systems using MATLAB. Moscow: Goryachaya liniya – Telekom, 288 p. (in Russian)

16. Grigorie, L. (2011). Fuzzy controllers, theory and applications. IntechOpen, 384 p. DOI: 10.5772/572

17. Nicholas, D. (2015). Genetic fuzzy trees for intelligent control of unmanned combat aerial vehicles: Doctoral Thesis. College of Engineering and Applied Science University of Cincinnati, 152 p.

18. Anikin, V.A., Animitsa, O.V., Kuvshinov, V.M., Leontiev, V.A. (2015). Synthesis of algorithms of an electronic remote control system of the perspective high-speed helicopter. Uchenye Zapiski TsAGI, vol. 46, no. 3, pp. 49–69. (in Russian)

19. Kuvshinov, V.M. (2016). Jugs of astatic algorithms of the longitudinal channel of an electronic remote control system of the perspective high-speed helicopter. Uchenye Zapiski TsAGI, vol. 47, no. 1, pp. 69–83. (in Russian)

20. Kuvshinov, V.M. (2016). Jugs of astatic algorithms of the lateral channel of an electronic remote control system of the perspective high-speed helicopter. Uchenye Zapiski TsAGI, vol. 47, no. 8, pp. 61–87. (in Russian)


Review

For citations:


Vereshchikov D.V., Makarov I.K., Moiseeva I.S., Barantsev S.M. Full-scale simulator to test a control system of an engine-propeller powerplant of a convertible aerial vehicle. Civil Aviation High Technologies. 2024;27(1):61-71. (In Russ.) https://doi.org/10.26467/2079-0619-2024-27-1-61-71

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ISSN 2079-0619 (Print)
ISSN 2542-0119 (Online)