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[HTML][HTML] Parameter identification of inverter-fed induction motors: A review
Induction motor parameters are essential for high-performance control. However, motor
parameters vary because of winding temperature rise, skin effect, and flux saturation …
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
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 …
context, this work presents a novel monitoring scheme applied to diagnose bearing faults …
[ספר][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 …
most important steps and concerns in the design of estimation and control algorithms for …
A nonlinear least-squares approach for identification of the induction motor parameters
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 …
parameters. A major difficulty with the induction motor is that the rotor state variables are not …
A single-phase DG generation unit with shunt active power filter capability by adaptive neural filtering
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 …
filtering (APF) capability, devised for utility current harmonic compensation. The idea is to …
A Luenberger–sliding mode observer for online parameter estimation and adaptation in high-performance induction motor drives
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 …
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
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 …
high-performance field-oriented control induction motor drives based on adaptive linear …
Multi-objective parameter estimation of induction motor using particle swarm optimization
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 …
optimization using a particle swarm optimization (PSO) technique is presented. Three …
Parameter identification based online noninvasive estimation of rotor temperature in induction motors
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 …
(IM) based on parameter identification, which combines the advantage of recursive least …
On-line identification of winding resistances and load torque in induction machines
Rotor and stator resistances along with load torque are typically uncertain quantities in
induction machines. The machine heating makes the winding resistances vary during …
induction machines. The machine heating makes the winding resistances vary during …