Unknown input observer design for fault sensor estimation applied to induction machine
type: Item
instance of: scholarly article
title: Unknown input observer design for fault sensor estimation applied to induction machine
author: Ahmed Amrane
author: Abdelkader Larabi
author: A. Aitouche
published in: Mathematics and Computers in Simulation
publication date: 2021-03-06T00:00:00Z
Mathematics Subject Classification ID: 93Bxx
Mathematics Subject Classification ID: 90Bxx
zbMATH DE Number: 7317941
zbMATH Keywords: induction motor
zbMATH Keywords: unknown inputs observer
zbMATH Keywords: linear parameter varying (LPV)
zbMATH Keywords: linear matrix inequalities (LMI)
zbMATH Keywords: sensor faults
MaRDI profile type: Publication
full work available at URL: j.matcom.2018.09.018
OpenAlex ID: W2895836654
cites work: Convergence analysis of back-EMF MRAS observers used in sensorless control of induction motor drives
cites work: Detection filter design for LPV systems -- a geometric approach.
cites work: An accurate model of squirrel cage induction machines under stator faults.
cites work: An induction machine and power electronic test system on a field-programmable gate array
cites work: Neural networks application for induction motor faults diagnosis.
cites work: Passive robust fault detection using fuzzy parity equations
cites work: Fault detection and isolation in non-linear systems by using oversized neural networks
DOI: 10.1016/J.MATCOM.2018.09.018
description: scientific article; zbMATH DE number 7317941