Sensorless Control of Double‐Star Permanent Magnet Synchronous Machine.
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| Title: | Sensorless Control of Double‐Star Permanent Magnet Synchronous Machine. |
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| Authors: | Elbar, Mohamed1 (AUTHOR), Naas, Badreddine1,2 (AUTHOR), Nezli, Lazhari2 (AUTHOR), Merzouk, Imad1 (AUTHOR), Boudana, Djamel2 (AUTHOR), Zaitsev, Ievgen3 (AUTHOR) zaitsev@i.ua, Sami, Irfan (AUTHOR) irfan.sami@kfupm.edu.sa |
| Source: | International Transactions on Electrical Energy Systems. 5/4/2026, Vol. 2026, p1-23. 23p. |
| Subject Terms: | *Sensorless control systems, *Mathematical models, *Field orientation principle, *Fuzzy logic, *Adaptive control systems, *Brushless electric motors |
| Abstract: | In this article, we have studied the double‐star permanent magnet synchronous machine, and two mathematical models have been proposed in Park reference frame: the d1q1d2q2O1O2 model and the dqz1z2O1O2 model. This machine is controlled by vector control on both models. This is followed by the estimation of the speed and the position of the machine by two techniques; the first is the estimation of the back EMF of the model using fuzzy logic and then the determination of the speed and the position using PLL. And the second is model reference adaptive system (MRAS) observer speed of the machine. The simulation of the sensorless control of the machine is carried out under the MATLAB/Simulink software environment and gives encouraging results. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Abstract: | In this article, we have studied the double‐star permanent magnet synchronous machine, and two mathematical models have been proposed in Park reference frame: the d1q1d2q2O1O2 model and the dqz1z2O1O2 model. This machine is controlled by vector control on both models. This is followed by the estimation of the speed and the position of the machine by two techniques; the first is the estimation of the back EMF of the model using fuzzy logic and then the determination of the speed and the position using PLL. And the second is model reference adaptive system (MRAS) observer speed of the machine. The simulation of the sensorless control of the machine is carried out under the MATLAB/Simulink software environment and gives encouraging results. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 20507038 |
| DOI: | 10.1155/etep/1005680 |
