Proceedings of TUSUR University / Archive / Issue of Journal № 1, t. 27, 2024 / Adaptive sliding mode control for brushless motor

Adaptive sliding mode control for brushless motor

DOI: 10.21293/1818-0442-2024-27-1-72-78

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Abstract: Brushless DC motors offer many advantages over brushed DC motors. In this article, based on the constructed kinematic model of a brushless motor, a classical sliding mode of motor control is synthesized. A study of the sliding mode of motor control was carried out in the Matlab Simulink software environment and the shortcomings of the classical sliding controller were established. To eliminate these shortcomings, an adaptive sliding controller has been synthesized, consisting of a classical sliding controller and a PI controller. Simulation in the Matlab Simulink software environment proves the efficiency of a syn-thesized adaptive sliding controller that controls a brushless motor in an environment of noise and disturbances.

Keywords: sliding controller, PI controller, adaptive sliding controller, brushless motor, simulation, Matlab Simulink, noise immunity

For citation:
Tran V. T., Korikov A. M. Adaptive sliding mode control for brushless motor. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2024, vol. 27, no. 1, pp. 72–78. DOI: 10.21293/1818-0442-2024-27-1-72-78

Authors and copyright holders:

Tran V. T. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)
Korikov A. M. , Tomsk State University of Control Systems and Radioelectronics (Tomsk, Russia)

1. Gavrilov S.V., Giang D.T., Thanh N.D. Upravleniye elektroprivodom na osnove beskollektornogo dvigatelya s postoyannymi magnitami [Electric drive control based on a brushless permanent magnet motor]. Proceedings of Saint Petersburg Electrotechnical University, 2016, no. 8, pp. 53–62.
2. Krause P.C., Wasynczuk O., Sudhoff S.D. Analysis of electric machinery and drive system. Danvers: IEEE Press, 2002, 613 р.
3. Mondal S., Mitra A. A New Approach of Sensorless Control Methodology or Achieving Ideal Characteristics of Brushless DC Motor Using MATLAB Simulink. IEEE Computer, Communication, Control and Information Technology (C3IT), 2015 Third International Conference – 2015, vol. 22, iss. 2, pp. 15–24.
4. Meenakshy P.P. Modelling of brushless DC Motor drive using sensored and sensorless control. International Journal of Emerging Technology and Advanced Engineering, 2012, vol. 2, iss. 8, pp. 153–162.
5. Byoungkuk L., Ehsani M. Advanced simulator model for brushless DC motor drives. Electric Power Components and Systems, 2010, vol. 31, no. 9, pp. 841–868.
6. Refki A.E.V.A., A.S. Karakulov, Yu.N. Dementyev, S.N. Kladiev. Mikroprotsessornaya sistema pryamogo upravleniya momentom elektroprivodov na baze sinkhronnogo dvigatelya s postoyannymi magnitami [Microprocessor system for direct torque control of electric drives based on a permanent magnet synchronous motor]. Izvestiya Vysshikh Uchebnykh Zavedenii. Elektromekhanika (Russian Electromechanics), 2011, no. 6, pp. 62–67.
7. Berbirenkov I.A., Lokhnin V.V. Tyagovyye dvigateli na postoyannykh magnitakh v elektroprivode elektromobilya [Permanent magnet traction motors in the electric drive of an electric vehicle]. Bulletin of the Tomsk Polytechnic University. Energy, 2011, vol 318, no. 4, pp. 148–150.
8. Tran V.T., Korikov A.M. Detektirovaniye posadochnoy ploshchadki i avtomaticheskaya posadka bespilotnogo letatel'nogo apparata po yeyo izobrazheniyu [Detection of a landing site and automatic landing of an unmanned aerial vehicle based on its image]. Proceedings of TUSUR University, 2023, vol. 26, no. 2, pp. 72–80.
9. Hang C.C., Patrick C.P. Comparative Studies of Model Reference Adaptive Control Systems. IEEE Transactions on Automatic Control, 1973, vol. 18, no. 5, pp. 419–428.
10. Astrom K.J. Adaptive control, second edition. Do-vers: Dover Publications, 2008, 574 p.
11. Ostrem K., Wittenmark B. Sistemy Upravleniya s EVM [Computer control systems]. M.: Mir, 1987, 480 p.
12. Tsypkin YA.Z. Adaptatsiya i obucheniye v avtomaticheskikh sistemakh [Adaptation and learning in automatic systems]. Moscow, Nauka, 1968, 400 p.
13. Yemel'yanov S.V. Sistemy avtomaticheskogo upravleniya s peremennoy strukturoy. Moscow, Nauka, 1967, 336 p.
14. Utkin V.I. Skol'zyashchiye rezhimy v zadachakh optimizatsii i upravleniya [Sliding modes in optimization and control problems]. Moscow, Nauka, 1981, 368 p.
15. Korikov A.M. Osnovy teorii upravleniya [Fundamentals of control theory]. Tutorial. 2nd ed, Tomsk, NTL Publishing House, 2002, 392 p.
16. Dorf R.C., Bishop R.H. Modern control systems. USA, N.J., Upper Saddle River, Prentice Hall, 2011, 1110 рp.