An Approach to Robust Control of Aircraft Motion

Authors

DOI:

https://doi.org/10.18372/1990-5548.77.18006

Keywords:

aircraft control system, robust synthesis, weighting coefficients, function of mixed sensitivity, aerodynamic disturbances, lateral and longitudinal motions

Abstract

The article deals with approaches to designing aircraft control systems based on the robust synthesis. The mathematical model of the aircraft control system both for deterministic and stochastic cases is considered. The Dryden filter models are represented. The state-space conception is applied. The concept of robust designing based on H-infinity synthesis, function of the mixed sensitivity, and loop shaping is represented. The features of Robust Control Toolbox necessary for automated designing of aircraft control systems are studied. The weighting transfer functions are proposed. Results of simulation of the synthesized robust control system are shown in the form of transient processes in lateral and longitudinal motions. The proposed approach is directed on providing the possibility of the aircraft to function in conditions of influence of disturbances. The possible applications of obtained results is control of aircraft motion in civil aviation.

Author Biographies

Olha Sushchenko , National Aviation University, Kyiv, Ukraine

Doctor of Engineering

Professor

Faculty of Air Navigation, Electronics and Telecommunications

Yurii Bezkorovainyi , National Aviation University, Kyiv, Ukraine

Candidate of Engineering

Associate Professor

Faculty of Air Navigation, Electronics and Telecommunications

References

M. Sadraey, Automatic Flight Control Systems, Cham: Springer, 2020. https://doi.org/10.1007/978-3-031-79649-4

C. Binns, Aircraft Systems: Instruments, Navigation and Control, Hoboken: IEEE Press, 2018. ISBN: 978-1-119-25954-1

N. K. Sinha and N. Ananthkrishnan, Advanced Flight Dynamics with Elements of Flight Control. Boca Raton: CRC Press, 2017. https://doi.org/10.1201/9781315151977

O. Sushchenko and A. Goncharenko, “Design of robust systems for stabilization of unmanned aerial vehicle equipment,” International Journal of Aerospace Engineering, Article 605408, 2016. https://doi.org/10.1155/2016/6054081

S.S. Niu and D. Xiao, Process Control: Engineering Analysis and Best Practices, New York: Springer, 2022. https://doi.org/10.1007/978-3-030-97067-3

D. Gu, P. Petkov, and M. Konstantinov, Robust Control Design with MATLAB, London: Springer-Verlag, 2005. https://doi.org/10.1007/b135806

L. Wang, PID control system design and automatic tuning using MATLAB/Simulink. Wiley, Hoboken (2020). http://doi.org/10.1002/9781119469414

O. A. Sushchenko and A. A. Tunik, “Robust stabilization of UAV observation equipment,” in Proc. 2nd International Conference on Actual Problems of Unmanned Air Vehicles Development (APUAVD), 2013, pp. 176–180. IEEE, Kyiv, Ukraine https://doi.org/10.1109/APUAVD.2013.6705318

S. Skogestad and I. Postlethwaite, Multivariable Feedback Control, New York: Jonh Wiley and Sons, 2001. ISBN: 978-0-470-01167-6

J. Fu and R. Ma, Stabilization and Hinf Control of Switched Dynamic Systems, Berlin: Springer, 2020. https://doi.org/10.1007/978-3-030-54197-2

B. I Kuznetsov, T. B. Nikitina, and I. V. Bovdui, “Structural-parametric synthesis of rolling mills multi-motor electric drives,” Electrical Engineering & Electromechanics, vol. 5, pp. 25–30, 2020. https://doi.org/10.20998/2074-272X.2020.5.04

S. Bennet, Robust Control: Systems, Theory and Analysis, New York: Nova Science, 2017. ISBN: 978-1-53610-826-2

O. A. Sushchenko and V. O. Golitsyn, “Data processing system for altitude navigation sensor,” in Proc. IEEE 4th International Conference on Methods and Systems of Navigation and Motion Control, Kyiv, Ukraine, 2016, pp. 84–87. https://doi.org/10.1109/MSNMC.2016.7783112

Y. Feng, Robust Control of Linear Descriptor Systems, Berlin: Springer, 2017. https://doi.org/10.1007/978-981-10-3677-4

O. A. Sushchenko, Y. M. Bezkorovainyi, and V. O. Golitsyn, “Fault-tolerant inertial measuring instrument with neural network,” in Proc. 40th International Conference on Electronics and Nanotechnology (ELNANO), Kyiv, Ukraine, 2020, pp. 797–801. https://doi.org/10.1109/ELNANO50318.2020.9088779

A. T. Le, Adaptive Robust Control Systems, Vienna: Intech Open, 2018. https://doi.org/10.5772/intechopen.68813

T. Li, B. Zhang, and B. Zheng, “Robust control with engineering applications,” Mathematical Problems in Engineering, ID567672, 2014. https://doi.org/10.1155/2014/567672

O. A. Sushchenko, Y. M. Bezkorovainyi, and V. O. Golytsin, “Processing of redundant information in airborne electronic systems by means of neural networks,” in Proc. 39th International Conference on Electronics and Nanotechnology (ELNANO), Kyiv, Ukraine, 2019, pp. 652–655. https://doi.org/10.1109/ELNANO.2019.8783394

G. Balas, R. Chiang, A. Packard, and M. Safonov, Robust Control Toolbox User’s Guide, Natick: Math Works, 2005–2008.

F. Asadi, State-Space Control Systems: The MATLAB/Simulink Approach, Sun Rafael: Morgan & Claypool, 2021. https://doi.org/10.2200/S01050ED1V01Y2020.9CRM006

O. Sushchenko, Y. Bezkorovainyi, and N. Novytska, “Theoretical and experimental assessments of accuracy of nonorthogonal MEMS sensor arrays,” Eastern-European Journal of Enterprise Technologies, vol. 3(9), pp. 40–49, 2018. https://doi.org/10.15587/1729-4061.2018.131945

O. A. Sushchenko, Y. N. Bezkorovainyi, and N. D. Novytska, “Nonorthogonal redundant configurations of inertial sensors,” in Proc. 4th International Conference on Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD), Kyiv, Ukraine, 2017, pp. 73–78. https://doi.org/10.1109/APUAVD.2017.8308780

B. I. Kuznetsov, T. B. Nikitina, and I. V. Bovdui, “Multiobjective synthesis of two degree of freedom nonlinear robust control by discrete continuous plant,” Technical Electrodynamics, vol. 5, pp. 10–14, 2020. https://doi.org/10.15407/techned2020.05.010

Downloads

Published

2023-09-27

Issue

Section

AVIATION TRANSPORT