Parameter identification of inverter-fed induction motors: A review

J Tang, Y Yang, F Blaabjerg, J Chen, L Diao, Z Liu - Energies, 2018 - mdpi.com
Induction motor parameters are essential for high-performance control. However, motor
parameters vary because of winding temperature rise, skin effect, and flux saturation …

Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks

MD Prieto, G Cirrincione, AG Espinosa… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
Bearing degradation is the most common source of faults in electrical machines. In this
context, this work presents a novel monitoring scheme applied to diagnose bearing faults …

[图书][B] Induction motor control design

R Marino, P Tomei, CM Verrelli - 2010 - books.google.com
Nonlinear and Adaptive Control Design for Induction Motors is a unified exposition of the
most important steps and concerns in the design of estimation and control algorithms for …

A single-phase DG generation unit with shunt active power filter capability by adaptive neural filtering

M Cirrincione, M Pucci, G Vitale - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
This paper deals with a single-phase distributed generation (DG) system with active power
filtering (APF) capability, devised for utility current harmonic compensation. The idea is to …

A nonlinear least-squares approach for identification of the induction motor parameters

K Wang, J Chiasson, M Bodson… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
A nonlinear least-squares method is presented for the identification of the induction motor
parameters. A major difficulty with the induction motor is that the rotor state variables are not …

A Luenberger–sliding mode observer for online parameter estimation and adaptation in high-performance induction motor drives

SMN Hasan, I Husain - IEEE Transactions on industry …, 2009 - ieeexplore.ieee.org
The performance and efficiency of an induction motor drive system can be enhanced by
online estimation of the critical parameters, such as the rotor time constant and stator …

An MRAS-based sensorless high-performance induction motor drive with a predictive adaptive model

M Cirrincione, M Pucci - IEEE Transactions on Industrial …, 2005 - ieeexplore.ieee.org
This paper presents a new model reference adaptive system (MRAS) speed observer for
high-performance field-oriented control induction motor drives based on adaptive linear …

Multi-objective parameter estimation of induction motor using particle swarm optimization

VP Sakthivel, R Bhuvaneswari… - Engineering Applications of …, 2010 - Elsevier
In order to simplify the offline parameter estimation of induction motor, a method based on
optimization using a particle swarm optimization (PSO) technique is presented. Three …

Parameter identification based online noninvasive estimation of rotor temperature in induction motors

H Zhao, HH Eldeeb, J Wang, J Kang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
This article proposes a rotor temperature estimation method for in-service induction machine
(IM) based on parameter identification, which combines the advantage of recursive least …

On-line identification of winding resistances and load torque in induction machines

CM Verrelli, A Savoia, M Mengoni… - … on Control Systems …, 2013 - ieeexplore.ieee.org
Rotor and stator resistances along with load torque are typically uncertain quantities in
induction machines. The machine heating makes the winding resistances vary during …