DocumentCode
1717114
Title
Direct torque control for asynchronous machine using Artificial Neural Networks
Author
Boukadida, Souha ; Gdaim, Soufien ; Mtibaa, Abdellatif
Author_Institution
Lab. EμE of the FSM, Nat. Eng. Sch. of Monastir, Monastir, Tunisia
fYear
2013
Firstpage
185
Lastpage
190
Abstract
The aim of this paper is to present an improved Direct Torque Control based on the Artificial Neural Networks. Thanks to their advantages, in this paper we proposed the use of Xilinx System Generator toolbox added to Matlab / Simulink. This solution replaces the use of programming language. Obtained results demonstrate that the proposed control is able to obtain high performance.
Keywords
asynchronous machines; control engineering computing; machine control; neurocontrollers; torque control; Matlab; Simulink; Xilinx system generator toolbox; artificial neural networks; asynchronous machine; direct torque control; programming language; Artificial neural networks; Biological neural networks; Electromagnetics; Mathematical model; Neurons; Stators; Torque; Direct torque control; FPGA; Neural network; Xilinx System Generator;
fLanguage
English
Publisher
ieee
Conference_Titel
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2013 14th International Conference on
Conference_Location
Sousse
Print_ISBN
978-1-4799-2953-5
Type
conf
DOI
10.1109/STA.2013.6783128
Filename
6783128
Link To Document