International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol 5, No 4: 2015

Three-Level DTC Based on Fuzzy Logic and Neural Network of Sensorless DSSM Using Extended Kalman Filter

Elakhdar Benyoussef (Faculty of Science and Engineering)
Abdelkader Meroufel (Faculty of Science and Engineering)
Said Barkat (Faculty of Technology)

Article Info

Publish Date
01 Apr 2015

Abstract

This paper presents a direct torque control is applied for salient-pole double star synchronous machine without mechanical speed and stator flux linkage sensors. The estimation is performed using the extended Kalman filter known by it is ability to process noisy discrete measurements. Two control approaches using fuzzy logic DTC, and neural network DTC are proposed and compared. The validity of the proposed controls scheme is verified by simulation tests of a double star synchronous machine. The stator flux, torque, and speed are determined and compared in the above techniques. Simulation results presented in this paper highlight the improvements produced by the proposed control method based on the extended Kalman filter under various operation conditions.

Copyrights © 2015




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
180.443 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
International Journal of Power Electronics and Drive Systems (IJPEDS)
Website

Abbrev

IJPEDS

Publisher

Institute of Advanced Engineering and Science

Subject

Control & Systems Engineering Electrical & Electronics Engineering

Description

International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. ...