SYNERGETIC SYNTHESIS OF CONTROL LAW FOR UAV IN THE PRESENCE OF WIND DISTURBANCES WITH INPUT CONSTRAINTS
Abstract
This paper discusses the application of synergetic control theory (SCT) methods to the problem of control system synthesis for fixed-wing unmanned aerial vehicle (UAV) in the presence of wind disturbances. The main purpose of this study is to develop a synergetic method for the synthesis of nonlinear control systems for fixed-wing UAVs, which guarantee the asymptotic stability of the closed-loop systems when moving along a given trajectory, stability and adaptability with significant nonlinearity of mathematical models for controlling fixed-wing UAVs in the presence of wind disturbances. Furthermore, an important task in the synthesis of control systems for various objects, including UAV, is to take into account constraints on the state variables of the control object, which can be determined by both the energy efficiency requirements and safety systems, as well as other constraints and requirements imposed on these coordinates. This article proposes a procedure for the synthesis of nonlinear vector control systems for fixed-wing UAV by applying SCT approaches that provide invariance to external unmeasured disturbances, fulfillment of specified technological control objectives, asymptotic stability of the closed-loop system, and also take into account the introduced constraints on the UAV internal coordinates. The procedure suggested in this article for the synergetic synthesis of nonlinear vector control systems of fixed-wing UAV ensures the effective use of this type of UAV in solving various tasks, including the operation of such UAV as elements of a group of autonomous objects that solve a given group technological task. The effectiveness of the proposed approach to the synergetic synthesis of control strategies is confirmed by the results of computer modeling of the synthesized nonlinear vector control system of fixed-wing UAV. The proposed synergetic method of control system synthesis for fixed-wing UAV can be applied for the development of advanced flight simulation and navigation complexes that simulate the UAV behavior in the presence of wind disturbances and serve as a basis for improving the flight performance of the fixed-wing UAV.
References
with low-cost multispectral imaging system for precision agriculture applications, IEEE
Global Humanitarian Technology Conference (GHTC), 2017, pp. 1-7.
2. Kaleem Z., Rehmani M.H., Ahmed E., Jamalipour A., Rodrigues J.J., Moustafa H., Guibene W.
Amateur drone surveillance: Applications, architectures, enabling technologies, and public
safety issues: Part 1, IEEE Communications Magazine, 2018, Vol. 56, No. 1, pp. 14-15.
3. Scott J., Scott C. Drone delivery models for healthcare, Proc. of the 50th Hawaii Int. Conf. on
system sciences, 2017, pp. 3297-3304.
4. Liu C., Chen W.H. Disturbance rejection flight control for small fixed-wing unmanned aerial
vehicles, Journal of Guidance, Control, and Dynamics, 2016, pp. 2810-2819.
5. Ingabire A., Sklyarov A.A. Fixed-wing UAVs navigation in the presence of wind: a survey,
Inzhenernyy vestnik Dona [Engineering Journal of Don], 2019, No. 3 (54), pp. 1-10.
6. Liu C., McAree O., Chen W.H. Path following for small UAVs in the presence of wind disturbance,
IEEE Proceedings of UKACC International Conference on Control, 2012, pp. 613-618.
7. Furieri L., Stastny T., Marconi L., Siegwart R., Gilitschenski I. Gone with the wind: Nonlinear
guidance for small fixed-wing aircraft in arbitrarily strong wind fields, American Control Conference
(ACC). IEEE, 2017, pp. 4254-4261.
8. Schopferer S., Lorenz J.S., Keipour A., Scherer S. Path planning for unmanned fixed-wing
aircraft in uncertain wind conditions using trochoids, International Conference on Unmanned
Aircraft Systems (ICUAS). IEEE, 2018, pp. 503-512.
9. Wu K., Fan B., Zhang X. Trajectory following control of UAVs with wind disturbance, 36th
Chinese Control Conference (CCC). IEEE, 2017, pp. 4993-4997.
10. Stastny T., Siegwart R. Nonlinear model predictive guidance for fixed-wing UAVs using identified
control augmented dynamics, International Conference on Unmanned Aircraft Systems
(ICUAS). IEEE, 2018, pp. 432-442.
11. Kolesnikov A.A, Kobzev V.A, Nguen F. Sinergeticheskiy sintez sistem upravleniya dvizheniem
samoletov-amfibiy, funktsioniruyushchikh v ekstremal'nykh usloviyakh [Synergetics synthesis of
amphibian aircraft motion control system operated under extreme conditions], Izvestiya YuFU.
Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2010, No. 5 (106), pp. 150-155.
12. Mushenko A.S. Nelineynyy sinergeticheskiy regulyator sistemy avtomaticheskogo upravleniya
bespilotnym letatel'nym apparatom [Nonlinear synergistic regulator automated control systems of
Unmanned Aerial Vehicle], Mekhanika tverdogo tela [Mechanics of Solids], 2002, pp. 165-171.
13. Motienko T.A. Sinergeticheskiy sintez astaticheskikh zakonov upravleniya dvizheniem
letatel'nykh apparatov [Synergetic synthesis of control laws for the movement of the aircraft],
Izvestiya YuFU. Tekhnicheskie nauki [Izvestiya SFedU. Engineering Sciences], 2011, No. 5
(118), pp. 124-128.
14. Fomenko A.A. Sinergeticheskiy sintez zakonov vektornogo upravleniya prostranstvennym
dvizheniem bespilotnogo letatel'nogo apparata [Synergistic synthesis of the vector control laws
of spatial movement of the unmanned aerial vehicle], Izvestiya YuFU. Tekhnicheskie nauki
[Izvestiya SFedU. Engineering Sciences], 2011, No. 6 (119), pp. 162-170.
15. Kolesnikov A.A. Sinergeticheskaya teoriya upravleniya [Synergetic control theory]. Moscow:
Energoatomizdat, 1994, 344 p.
16. Kolesnikov A.A. Sinergeticheskaya kontseptsiya sistemnogo sinteza: edinstvo protsessov
samoorganizatsii i upravleniya [Synergetic conception of system synthesis: the unity of processes of
self-organization and control], Izvestiya TRTU [Izvestiya TSURE], 2006, No. 6 (61), pp. 10-38.
17. Kolesnikov A.A. Introduction of synergetic control, Proceedings of the American Control Conference,
2014, p. 3013-3016.
18. Kolesnikov A.A. Novye nelineynye metody upravleniya poletom [New nonlinear methods of
flight control]. Moscow: Fizmatlit, 2013, 196 p.
19. Gonzalez H.A. Robust tracking of dynamic targets with aerial vehicles using quaternion-based
techniques: Doctoral dissertation. 2019. 18 p.
20. Metod AKAR i teoriya adaptivnogo upravleniya v zadachakh sinteza nelineynykh sistem
upravleniya [ADAR Method and Theory of Adaptive Control in the Tasks of Synthesis of the
Nonlinear Control Systems], Mekhatronika, avtomatizatsiya, upravlenie [Mechatronics, automation,
management], 2017, Vol. 18, No. 9, pp. 579-589.
21. Kuz'menko A.A., Kolesnikov A.A., Kolesnitchenko D.A. Novel robust control of hydrogenerator:
The synergetic approach, IFAC-PapersOnLine, 2015, Vol. 48 (11), pp. 451-456.