Comparative study of ANN DTC and conventional DTC controlled PMSM motor

DOI10.1016/J.MATCOM.2019.09.006OpenAlexW2974103935WikidataQ127229133 ScholiaQ127229133MaRDI QIDQ1997809

A. Ghamri, R. Boumaaraf, H. Mesloub, M. T. Benchouia, A. Golea, N. Golea

Publication date: 6 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2019.09.006

zbMATH Keywords

permanent magnet synchronous motor (PMSM)direct torque control (DTC)artificial neural networks (ANN)

Mathematics Subject Classification ID

General topics in optics and electromagnetic theory (78Axx)

Uses Software

• Simulink

Cites Work

• Variable projections neural network training
• Presentation of a control law for IM drive based on the dynamic reconfiguration of a DTC algorithm and a SVM-DTC algorithm.
• Optimized FPGA design, verification and implementation of a neuro-fuzzy controller for PMSM drives
• Overview of analytical models of permanent magnet electrical machines for analysis and design purposes
• The preview control of a class of linear systems and its application in the fault-tolerant control theory
• Robust and Fault-Tolerant Control

This page was built for publication: Comparative study of ANN DTC and conventional DTC controlled PMSM motor