Digital adaptive automatic control system with a reference model of an unmanned aerial vehicle


Аuthors

Selezneva A. E.

State Research Institute Engineeringpace University, 125, Mira prospect, Moscow, 129226, Russia

e-mail: seleznevaae@yandex.ru seleznevaae@yandex.ru

Abstract

This article presents the results of a study of the impact of digitization of an adaptive automatic control system with a reference model on the quality of its work. The pitch channel of an aircraft-type unmanned aerial vehicle is considered as an object of control. The principle of operation of an adaptive system with a reference model is to calculate the control effect based on the difference between the actual state of the control object and the state of the reference model. As a reference model, it is proposed to apply a model developed using the frequency synthesis method. To carry out the digitization of the developed system, the following actions are performed: the system structure is determined, the system blocks for digital and analog versions are identified, digitization is performed for each of the blocks intended for digital execution.

Keywords:

automatic control system; adaptive automatic control system; reference model, digital automatic control system

References

  1. Bezyaev V.S., Makarychev P.P. Izvestiya vysshikh uchebnykh zavedenii. Povolzhskii re-gion. Tekhnicheskie nauki, 2020, no. 1 (53), pp. 19–27.
  2.  Bikkenin R.R., Chesnokov M.N. Teoriya ehlektricheskoi svyazi [Theory of electrical communication], Мoscow, Izdatel'skii tsentr “Akademiya”, 2010, 384 p.
  3. Bobtsov A.A., Nikiforov V.O., Pyrkin A.A., Slita O.V., Ushakov A.V. Metody adap-tivnogo i robastnogo upravleniya nelineinymi ob"ektami v pribo-rostroenii [Methods of adaptive and robust control of nonlinear objects in instrument engineering], a text-book for higher educational institutions, St. Petersburg, NIU ITMO, 2013. 277 p.  
  4. Kreindelin V.B., Grigorieva E.D. T-Comm, 2019, no. 1, pp. 4–9.
  5. Ovcharenko V.N. Identifikatsiya aehrodinamicheskikh kharakteristik vozdushnykh sudov po poletnym dannym [Identification of aerodynamic characteristics of aircraft based on flight data], Мoscow, Izd-vo MAI, 2017, 182 p.
  6. Remen' – Safi. Bol'shaya sovetskaya ehntsiklopediya [The Great Soviet Encyclopedia]. Vol. 22, ed. by А.М. Prokhorov. Moscow, Sovetskaya ehntsiklopediya, 1975, 628 p.
  7. Selezneva A.E., Neretin E.S. Upravlenie bol'shimi sistemami, 2024, no. 109. pp. 41–66.
  8. Barkana I. Adaptive control? But is so Simple! Journal of Intelligent & Robotic Systems, 2016, no. 83. P. 3–34.
  9. Crespo L., Matisutani M., Annaswamy A. Design of a model reference adaptive controller for an unmanned air vehicle. AIAA Guidance, Navigation, and Control Conference, 2010, pp. 8049.
  10. Dydek Z.T., Annaswamy A.M., Lavretsky E. Adaptive control of quadrotor UAVs: A design trade study with flight evaluations. IEE Transactions on Control Systems Technology, 2013, vol. 21, iss. 4, pp. 1400–1406.
  11. Gibson T.E., Annaswamy A, M., Lavretsky E. On adaptive control with closed-loop reference models: transients, oscillations, and peaking. IEE Access, 2013, vol. 1. pp. 703–717
  12. Iwai Z., Mizumoto I. Realization of simple adaptive control by using parallel feedforward compensator. International Journal of Control, 1994, vol. 59, iss. 6, pp. 1543–1565.
  13. Kaufman H., Barkana I., Sobel K. Direct adaptive control algorithms. N.Y., Springer–Verlag, 1994. xxi, 370 p.
  14. Shin Y., Calise A. Motter M. Adaptive autopilot designs for an unmanned aerial vehicle. AIAA Guidance, Navigation, and Control Conference and Exhibit, 2005, pp. 6166.
  15. Whitehead B., Bieniawski S. Model reference adaptive control of a quadrotor UAV. AIAA Guidance, Navigation, and Control Conference, 2010, pp. 8148.
  16. Wise K.A., Lavretsky E., Hovakimyan N. Adaptive control of flight: theory, applications, and open problems. 2006 American Control Conference IEEE 2006, pp. 5966–5971.

Download

mai.ru — informational site MAI

Copyright © 2000-2026 by MAI

Вход