Abstract
The use of BLDC motor has had rapid growth in various applications, in all areas of use of electromechanical systems. This has come as a result of not only the advantages, that have the BLDC motor compared to other types of electric machines of alternating and direct current, but also the possibility of using all control methods to ensure safe and high-precision work, which have given it a very large advantage in adapting it to perform a variety of tasks. Electronic control of BLDC motor gives it the advantage of being suitable for control schemes, starting with the ones with sensors, to determine the position of the rotor, to sensorless methods, from traditional control methods PI, PID and up to advanced and intelligent control methods, or in the production of controllers as integrated circuits, for specific commercial purposes. This advantage makes possible for the motor to be selected for different functions, be flexible and adaptable. BLDC motor control can be accomplished with or without sensor methods. The advantage of sensorless control methods is the realization of the required quality indicators at the lowest cost. But the disadvantage of BLDC control methods without sensors is that it needs a control algorithm and more complex electronic circuits. The purpose of this paper is to examine the different methods of BLDC motor control with sensor and without sensor, to point out the advantages and disadvantages of each, as well as to recommend the field of application of each of these methods. Based on the literature review all of these control methods for electrical transmissions with BLDC motor, will be briefly reviewed in this paper.
References
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Abstract
References
- de Barras Ruano, A. E. (1992). Applications of Neural Networks to Control Systems (Doctoral dissertation, University College of North Wales).
- Gamazo-Real, J. C., Vázquez-Sánchez, E., & Gómez-Gil, J. (2010). Position and speed control of brushless DC motors using sensorless techniques and application trends. Sensors, 10(7), 6901-6947.
- Kuo B. C. (1975). Automatic Control System,(3rd edition). Prentice-Hall. ISBN 0-13-054973-8
- Lenine, D., Reddy, B. R., Kumar, S.V. (2007). Estimation of speed and rotor position of BLDC motor using extended Kalman filter, IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES), 433-440. DOI: 10.1049/ic:20070652, ISBN: 978 0 86341 937 9.
- Levine, W. S. (2018). The Control Handbook (three volume set). CRC press. ISBN 978-1-4200-7360-7
- Ma, Z., & Zhang, X. (2018). FPGA implementation of sensorless sliding mode observer with a novel rotation direction detection for PMSM drives. IEEE Access, 6, 55528-55536. https://doi.org/10.1109/ACCESS.2018.2871730
- Miller, T.J. (1989). Brushless Permanent Magnet and Reluctance Motor Drives. Oxford University Press. ISBN 0-19-859369-4.
- Nakuçi, L., Spahiu A. (2018) Advantages in dynamic behavior of BLDC electrical drives”, International Journal of Ecosystems and Ecology Science (IJEES), 8(4), 825-834. ISSN 2224-4980, https://doi.org/10.31407/ijees
- Nicosia, S., & Tomei, P. (1984). Model reference adaptive control algorithms for industrial robots. Automatica, 20(5), 635-644. https://doi.org/10.1016/0005-1098(84)90013-X
- Singh B, & Mishra A. K., (2015). Fuzzy logic control system and its applications. International Research Journal of Engineering and Technology 2(8) e-ISSN: 2395 -0056, p-ISSN: 2395-0072.
- Spahiu A. (2009), Electrical Drives. Tirana University Book Publishing House ISBN 978-99927-0-521-6
- Spahiu, A., Marango P., Zavalani O. (2008) High Efficiency Electric Drives. Institute Alb-Shkenca Revistë Shkencore e Institutit Alb-Shkenca. ISSN 2073-2244.
- Sugimoto, H., & Tamai, S. (1987). Secondary resistance identification of an induction-motor applied model reference adaptive system and its characteristics. IEEE Transactions on Industry Applications, (2), 296-303. DOI: 10.1109/TIA.1987.4504905Waide, P., & Brunner, C. U. (2011). Energy-Efficiency Policy Opportunities For Electric Motor-Driven Systems. OECD.
- Wang, Q., Spronck, P., & Tracht, R. (2003). An overview of genetic algorithms applied to control engineering problems. In Proceedings of the 2003 International Conference on Machine Learning and Cybernetics 3, 1651-1656.
- Xia, C. L. (2012). Permanent Magnet Brushless DC Motor Drives and Controls. John Wiley & Sons. ISBN 978-1-118-18833-0.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Early Pub Date | December 31, 2021 |
| Publication Date | December 31, 2021 |
| Published in Issue | Year 2021Volume: 13 |
