DocumentCode
2109211
Title
Using fuzzy logic algorithm for improvement of DTC three level inverter performance considering saturated model of induction motor
Author
Hassan, M. Moustafa ; Ismail, M. Mahmoud
Author_Institution
Electr. Power & Machine Dept., Cairo Univ., Cairo, Egypt
fYear
2011
fDate
5-8 Sept. 2011
Firstpage
503
Lastpage
510
Abstract
The problem of controlling the π-model induction motor with magnetic saturation is considered in this proposed research. Direct Torque Control (DTC) of induction motor has been developed since three decades. Furthermore many techniques have been proposed to improve the performance of the induction machines that using the DTC drives in industry. However, all the previous models are based on the linear model of the machine for approximation. This is not the exact model and there is no guarantee that the process will work outside the saturation region of the flux, especially in large rating of induction machines. In this paper, multiple fuzzy logic controllers are used as a solution for improvement in the performance of the saturated model DTC controller. This is done via minimizing the speed error of the PI controller and by minimizing the torque ripples of the three level inverter.
Keywords
fuzzy control; fuzzy logic; induction motors; invertors; machine control; torque control; π-model induction motor control; DTC three level inverter performance; PI controller; direct torque control; fuzzy logic algorithm; induction machines; magnetic saturation; multiple fuzzy logic controllers; Decision support systems; TV; Direct Torque Control (DTC); Duty Ratio; Fuzzy Logic Control; Magnetically Saturated Induction Motors; Three Level Inverter;
fLanguage
English
Publisher
ieee
Conference_Titel
Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on
Conference_Location
Bologna
Print_ISBN
978-1-4244-9301-2
Electronic_ISBN
978-1-4244-9302-9
Type
conf
DOI
10.1109/DEMPED.2011.6063670
Filename
6063670
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