Sensorless control of synchronous reluctance motor drives based on the TLS EXIN neuron

Liu, Yong-Chao and Laghrouche, Salah and N'Diaye, Abdoul and Narayan, Siwan and Cirrincione, Giansalvo and Cirrincione, Maurizio (2019) Sensorless control of synchronous reluctance motor drives based on the TLS EXIN neuron. [Conference Proceedings]

PDF - Published Version Restricted to Repository staff only Download (893kB) | Request a copy

Abstract

This paper proposes a rotor speed and position
estimation scheme for the synchronous reluctance motor (SynRM) drive system based on its active flux model in the stator reference frame and the total least squares (TLS) EXIN neuron. Firstly, the active flux model of the SynRM in the stator reference frame is reconstructed to the overdetermined matrix equations. On the basis of that, the estimation of the rotor speed of the SynRM is
transferred into solving a TLS problem. The TLS EXIN neuron, which is a recursive TLS algorithm, is used to solve this problem online to extract the rotor speed. The estimated rotor position is obtained from the estimated rotor speed based on the integrator.
The feasibility and effectiveness of the proposed rotor speed estimation scheme have been verified by the simulation results.

Item Type:	Conference Proceedings
Additional Information:	DOI: 10.1109/IEMDC.2019.8785335
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science, Technology and Environment (FSTE) > School of Engineering and Physics
Depositing User:	Fulori Nainoca - Waqairagata
Date Deposited:	23 Apr 2020 03:50
Last Modified:	05 Feb 2024 00:08
URI:	https://repository.usp.ac.fj/id/eprint/12100

Actions (login required)

View Item