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
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;
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
DOI :
10.1109/STA.2013.6783128
