Direct Torque Control for Asynchronous Machine Using Artificial Neural Networks

被引：0
|
作者：
Boukadida, Souha [1 ]
Gdaim, Soufien [1 ]
Mtibaa, Abdellatif [1 ]
机构：
[1] Natl Engn Sch Monastir, Lab EuE FSM, Monastir, Tunisia
来源：
14TH INTERNATIONAL CONFERENCE ON SCIENCES AND TECHNIQUES OF AUTOMATIC CONTROL & COMPUTER ENGINEERING STA 2013 | 2013年
关键词：
Direct torque control; Neural network; Xilinx System Generator; FPGA;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：185 / 190
页数：6
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