Title :
Fuzzy logic control for high precision positioning of a Six Phase Induction Machine in faulted mode
Author :
Fnaiech, M.A. ; Betin, F. ; Nahid, B. ; Capolino, G.A.
Author_Institution :
Dept. of Electr. Eng., Univ. of Picardie, Amiens
Abstract :
The main goal of increasing the number of phases in an induction machine is to ensure its performance in all the operating modes such as normal, disturbed and faulted settings. The faulted mode of a Six Phase Induction Motor (SPIM) denotes that the SPIM is working with one or more missing phases. This situation leads to high torque ripples and bad tracking behaviour. A suitable robust control law has then to be applied to cope with these effects. Therefore, this paper presents the design and implementation of fuzzy logic control associated with indirect field oriented control method for high precision positioning of the shaft rotor of the SPIM in healthy and faulted modes. The proposed fuzzy controller has been first tested in simulation and then implemented on an advanced test bed built up in our laboratory. Simulation results have been validated experimentally.
Keywords :
fault diagnosis; fuzzy control; induction motors; machine control; robust control; faulted mode; fuzzy logic control; indirect field oriented control method; induction machine; robust control law; six phase induction motor; Actuators; DC machines; Fuzzy logic; Induction machines; Induction motors; Mathematical model; Open loop systems; Shafts; Testing; Torque; Fuzzy Logic Control; Implementation -Robustness; Six Phases Induction Machine;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4758456