A fuzzy sliding mode controller for a vector controlled induction motor

2008 ◽  
Author(s):  
A. Meroufel ◽  
A. Massoum ◽  
P. Wira
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode

A Novel Sensor Less Control of Induction Motor Based on Fuzzy Sliding-Mode Structure

2012 ◽  
Vol 588-589 ◽  
pp. 684-687
Author(s):  
Xiang Yang You
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Sliding Mode ◽  
The Other ◽  
System Stability ◽  
Sliding Mode Controller ◽  
Extend Kalman Filter ◽  
Mode Structure ◽  
Nonlinear Controllers ◽  
Fuzzy Sliding Mode

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.

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

2017 ◽  
Vol 10 (3) ◽  
pp. 20-29
Author(s):  
Loukal Keltoum ◽  
◽  
Benalia Leila ◽  
Bouguerra Abderrahmen ◽  
◽  
...  
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Speed Control ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode ◽  
Doubly Fed

Fuzzy Sliding Mode Controller for Induction Machine Feed by Three Level Inverter

2018 ◽  
Vol 9 (1) ◽  
pp. 55
Author(s):  
Lakhdari Lahcen ◽  
B. Bouchiba
Keyword(s):  
Fuzzy Logic ◽  
Nonlinear Systems ◽  
Induction Motor ◽  
Hybrid Control ◽  
Sliding Mode ◽  
External Disturbance ◽  
Induction Machine ◽  
Sliding Mode Controller ◽  
Control Laws ◽  
Fuzzy Sliding Mode

In this paper, using synthesis of a hybrid control is applied to the speed of an induction motor feed by three-level inverter. Based on the combination of the fuzzy logic and the sliding mode approach, this method has the advantage of combining the performances of the two types of controllers. The fuzzy logic confers a very appreciable flexibility to the reasoning which uses and makes it possible to take into account Imprecisions and uncertainties, The sliding mode is a controller for nonlinear systems with non-constant parameters; it leads to precision and robustness, and allows solving problems obtained by conventional control laws. To lift the stresses of external disturbance and makes the system more performing and more robust, the two controllers of fuzzy logic and sliding mode are combined.

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