scholarly journals Speed Control of a Doubly-Fed Induction Motor (DFIM) Based on Fuzzy Sliding Mode Controller

Author(s):  
Loukal Keltoum ◽  
◽  
Benalia Leila ◽  
Bouguerra Abderrahmen ◽  
◽  
...  
2012 ◽  
Vol 588-589 ◽  
pp. 684-687
Author(s):  
Xiang Yang You

A novel fuzzy sliding-mode structure has been proposed for Extend Kalman Filter (EKF) based on sensorless control of an induction motor in this paper. Fuzzy sliding-mode structure includes two nonlinear controllers, one of which is sliding mode type and the other is PI-fuzzy logic based controller. The new structure has two advantages: sliding-mode controller increasing system stability and PI-like fuzzy logic based controller reducing the chattering in permanent state. The scheme has been implemented and experimentally validated.


2021 ◽  
Vol 3 (3) ◽  
pp. 10-19
Author(s):  
Samar Abdulkareem AL-Hashemi ◽  
Ayad AL-Dujaili ◽  
Ahmed R. Ajel

Induction motors are widely used in commercial and industrial applications due to their robustness, high efficiency, low maintenance requirements and durability among other reasons. Consequently, their speed should be controlled for better performance. This paper describes utilization of a scalar speed control of a three-phase squirrel cage induction motor (SCIM) to control a motor’s speed using an integral sliding mode controller (ISMC). The controller was tested under various operating conditions. The results are compared with a case employing a conventional PI controller. It was found that speed control by ISMC has a 0.16 RPM steady-state error, 0.03 s to reach steady-state from a standstill, and a 5% overshoot. All of these are lower values as compared to the results of a conventional PI controller. In this paper, the robustness of each controller to uncertainties is checked. Simulation results show the advantages of ISMC control methods. The system is simulated using MATLAB SIMULINK R2017a.


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