Turkish Journal of Electrical Engineering and Computer Sciences
DOI
10.3906/elk-1712-186
Abstract
Switched reluctance motor (SRM) is operated at high magnetic saturation to generate large torque. The flux linkage of SRM is a nonlinear function with phase current and rotor position because of the high magnetic saturation. Also, the performance of the speed controller for the SRM driver system can be negatively affected by noise, disturbances, and inertia of load torque. Therefore, the fuzzy speed controller for the SRM driver system was developed in this study. In addition, a dynamic model of SRM was simulated in Matlab/Simulink software. Based on the results obtained in this study, the speed of the SRM was controlled over a wide range of speeds including low and high speeds by the fuzzy speed controller. Furthermore, in simulation, the rotor speed was simulated depending on the reference speed. Moreover, the speed of the SRM was experimentally tested using the DS1103 Ace kit. Finally, simulation results were compared with experimental results and they were found to be consistent with each other.
Keywords
Fuzzy logic control, switched reluctance motor
First Page
316
Last Page
329
Recommended Citation
OMAÇ, ZEKİ
(2019)
"Fuzzy-logic-based robust speed control of switched reluctance motor for low and high speeds,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 27:
No.
1, Article 24.
https://doi.org/10.3906/elk-1712-186
Available at:
https://journals.tubitak.gov.tr/elektrik/vol27/iss1/24
Included in
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons