@inproceedings{5f9ef89d8b61438e8f0a127d97508d47,
title = "Neuro-control approach of switched reluctance motor drives",
abstract = "The purpose of the paper is to present several studies on neural networks used for the modelling of a switched reluctance motor (SRM) with variable structure control. A positioning system using a four-phase SRM is presented, in which the position error is processed by a sliding-mode controller. The control unit represents the subject of a neural network-based model. The proposed network system has a feedforward type architecture, structured on three layers of processing units. The networks are trained using the BKP algorithm. Once the network system is trained, it is integrated as a part of the positioning system. The training and testing sets of examples are obtained by numerical simulation of the positioning system using the Matlab environment.",
author = "V. Trifa and Elena Gaura and L Moldovan",
year = "1996",
doi = "10.1109/MELCON.1996.551225",
language = "English",
isbn = "0780331095",
series = "IEEE Mediterranean Electrotechnical Conference-MELECON",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "1461--1464",
editor = "Marco DeSario and Bruno Maione and Pasquale Pugliese and Mario Savino",
booktitle = "Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96)",
address = "United States",
note = "8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (Melecon 96) ; Conference date: 13-05-1996 Through 16-05-1996",
}