Direct Torque Control of a Permanent-Magnet Synchronous Motor with Neural Networks

Author

Ramirez-Leyva, F.H. ; Trujillo-Romero, F. ; Caballero-Morales, S.O. ; Peralta-Sanchez, Edgar

Author_Institution

Div. de Estudios de Posgrado, Univ. Tecnol. de la Mixteca, Huajuapan de León, Mexico

fYear

2014

fDate

26-28 Feb. 2014

Firstpage

71

Lastpage

76

Abstract

Permanent-Magnet Synchronous Motors (PMSM), characterized by high power density and efficiency, domain most of the applications that require high performance in control of position, speed, and torque. Direct Torque Control (DTC) is one of the most used techniques to control these motors. In this work an intelligent approach is proposed for the realization of the DTC for a PMSM by means of Artificial Neural Networks (RN). In addition, a comparative between the response obtained with conventional DTC (DTCC) and the neural network based DTC (DTCRN) is presented. The training data for the neural networks consisted in the set of values obtained with the DTCC. Both systems were implemented and simulated with Matlab / Simulink.

Keywords

angular velocity control; machine control; neurocontrollers; permanent magnet motors; position control; synchronous motors; torque control; DTCC; DTCRN; Matlab software; PMSM control; RN; Simulink software; artificial neural networks; direct torque control; neural network-based DTC; permanent-magnet synchronous motor control; position control; speed control; training data; Mathematical model; Neural networks; Permanent magnet motors; Rotors; Synchronous motors; Torque; Vectors; Artificial Neural Networks; Direct Torque Control; Permanent Magnet Synchronous Motors;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Computers (CONIELECOMP), 2014 International Conference on

Conference_Location

Cholula

Print_ISBN

978-1-4799-3468-3

Type

conf

DOI

10.1109/CONIELECOMP.2014.6808570

Filename

6808570