Thermal analysis of duplex 3-phase induction motor under fault operating conditions

2012 ◽  
Author(s):  
M. Popescu ◽  
D. G. Dorrell ◽  
L. Alberti ◽  
N. Bianchi ◽  
D. A. Staton ◽  
...  
Keyword(s):  
Thermal Analysis ◽  
Induction Motor ◽  
Operating Conditions

scholarly journals Induction Motor Thermal Analysis Based on Lumped Parameter Thermal Network

2020 ◽  
Author(s):  
Pedro Cabral ◽  
Amel Adouni
Keyword(s):  
Thermal Analysis ◽  
Induction Motor ◽  
Operating Conditions ◽  
Heat Sources ◽  
Thermal Network ◽  
Iron Losses ◽  
Lumped Parameter ◽  
Proposed Model ◽  
Industry Applications ◽  
Different Temperatures

Many industry applications required the use of the induction motors. In such envirenement the electrical machines are facing of many stressed operating conditions. One of the critical creteria which decide the choice of the induction motor is the thermal behaviour under different mode operation. In this paper a study of the thermal behavior of an induction motor is presented. In order to predict the temperature in the different machine components, a model based on the lumped parameter thermal network   has been developed. The geometry of the machine and the thermal properties of its various components are used to express the developed model. The joule and the iron losses are considering as the inputs. The proposed model is implemented and tested using MATLAB software. It is a simple model which could predict rapidly the different temperatures. Keywords: Induction motor, Thermal analysis, Lumped parameters thermal network, Modeling, Heat sources

Thermal Analysis of Duplex Three-Phase Induction Motor Under Fault Operating Conditions

2013 ◽  
Vol 49 (4) ◽  
pp. 1523-1530 ◽  
Author(s):  
Mircea Popescu ◽  
David George Dorrell ◽  
Luigi Alberti ◽  
Nicola Bianchi ◽  
David Alan Staton ◽  
...  
Keyword(s):  
Thermal Analysis ◽  
Induction Motor ◽  
Operating Conditions ◽  
Three Phase

Finite element method estimation of temperature distribution of automotive tire using one-way-coupled method

2021 ◽  
pp. 095440702110087
Author(s):  
Zumrat Usmanova ◽  
Emin Sunbuloglu
Keyword(s):  
Thermal Analysis ◽  
Temperature Distribution ◽  
Heat Generation ◽  
Complex Geometry ◽  
Rolling Resistance ◽  
Operating Conditions ◽  
Deformation Analysis ◽  
Coupled Method ◽  
Experimental Values ◽  
Hysteretic Loss

Numerical simulation of automotive tires is still a challenging problem due to their complex geometry and structures, as well as the non-uniform loading and operating conditions. Hysteretic loss and rolling resistance are the most crucial features of tire design for engineers. A decoupled numerical model was proposed to predict hysteretic loss and temperature distribution in a tire, however temperature dependent material properties being utilized only during the heat generation analysis stage. Cyclic change of strain energy values was extracted from 3-D deformation analysis, which was further used in a thermal analysis as input to predict temperature distribution and thermal heat generation due to hysteretic loss. This method was compared with the decoupled model where temperature dependence was ignored in both deformation and thermal analysis stages. Deformation analysis results were compared with experimental data available. The proposed method of numerical modeling was quite accurate and results were found to be close to the actual tire behavior. It was shown that one-way-coupled method provides rolling resistance and peak temperature values that are in agreement with experimental values as well.

scholarly journals Automatic and Online Detection of Rotor Fault State

2018 ◽  
Vol 7 (1) ◽  
pp. 43 ◽  
Author(s):  
Ali Ouanas ◽  
Ammar Medoued ◽  
Salim Haddad ◽  
Mourad Mordjaoui ◽  
D. Sayad
Keyword(s):  
Induction Motor ◽  
Dimensional Space ◽  
Operating Conditions ◽  
Online Detection ◽  
K Nearest Neighbor ◽  
Simple Method ◽  
Important Place ◽  
Motor Test ◽  
Wide Range ◽  
Fault State

In this work, we propose a new and simple method to insure an online and automatic detection of faults that affect induction motor rotors. Induction motors now occupy an important place in the industrial environment and cover an extremely wide range of applications. They require a system installation that monitors the motor state to suit the operating conditions for a given application. The proposed method is based on the consideration of the spectrum of the single-phase stator current envelope as input of the detection algorithm. The characteristics related to the broken bar fault in the frequency domain extracted from the Hilbert Transform is used to estimate the fault severity for different load levels through classification tools. The frequency analysis of the envelope gives the frequency component and the associated amplitude which define the existence of the fault. The clustering of the indicator is chosen in a two-dimensional space by the fuzzy c mean clustering to find the center of each class. The distance criterion, the K-Nearest Neighbor (KNN) algorithm and the neural networks are used to determine the fault type. This method is validated on a 5.5-kW induction motor test bench.Article History: Received July 16th 2017; Received: October 5th 2017; Accepted: Januari 6th 2018; Available onlineHow to Cite This Article: Ouanas, A., Medoued, A., Haddad, S., Mordjaoui, M., and Sayad, D. (2017) Automatic and online Detection of Rotor Fault State. International Journal of Renewable Energy Development, 7(1), 43-52.http://dx.doi.org/10.14710/ijred.7.1.43-52

Sensorless finite-state predictive torque control of induction motor fed by four-switch inverter using extended Kalman filter

2018 ◽  
Vol 37 (6) ◽  
pp. 2006-2024 ◽  
Author(s):  
Mohamed Chebaani ◽  
Amar Goléa ◽  
Med Toufik Benchouia ◽  
Noureddine Goléa
Keyword(s):  
Kalman Filter ◽  
Induction Motor ◽  
Extended Kalman Filter ◽  
Direct Torque Control ◽  
Operating Conditions ◽  
Torque Control ◽  
Switching Frequency ◽  
Content Type ◽  
Finite State ◽  
Torque Ripples

Purpose Direct Torque Control (DTC) of induction motor drives is a well-established technique owing to features such as fast dynamic and insensibility to motor parameters. However, conventional DTC scheme, based on comparators and the switching table, suffers from large torque and flux ripples. To improve DTC performance, this study aims to propose and implement a sensorless finite-state predictive torque control using extended Kalman Filter in dSPACE environment. Design/methodology/approach This paper deals with the design of an extended Kalman filter for estimating the state of an induction motor model and for sensorless control of systems using this type of motor as an actuator. A complex-valued model is adopted that simultaneously allows a simpler observability analysis of the system and a more effective state estimation. Findings Simulation and experimental results reveal that the drive system, associated with this technique, can effectively reduce flux and torque ripples with better dynamic and steady state performance. Further, the proposed approach maintains a constant switching frequency. Originality/value The proposed speed observer have been developed and implemented experimentally under different operating conditions such as parameter variation, no-load/load disturbances and speed variations in different speed operation regions.

scholarly journals Low Speed Estimation of Sensorless DTC Induction Motor Drive Using MRAS with Neuro Fuzzy Adaptive Controller

2018 ◽  
Vol 8 (5) ◽  
pp. 2691
Author(s):  
Mini R ◽  
Shabana Backer P. ◽  
B. Hariram Satheesh ◽  
Dinesh M. N
Keyword(s):  
Comparative Analysis ◽  
Induction Motor ◽  
Reactive Power ◽  
Adaptive Controller ◽  
Operating Conditions ◽  
Estimation Methods ◽  
Speed Estimation ◽  
Loop Model ◽  
Low Speed ◽  
Rotor Flux

<p>This paper presents a closed loop Model Reference Adaptive system (MRAS) observer with artificial intelligent Nuero fuzzy controller (NFC) as the adaptation technique to mitigate the low speed estimation issues and to improvise the performance of the Sensorless Direct Torque Controlled (DTC) Induction Motor Drives (IMD). Rotor flux MRAS and reactive power MRAS with NFC is explored and detailed analysis is carried out for low speed estimation. Comparative analysis between rotor flux MRAS and reactive power MRAS with PI as well as NFC as adaptive controller is performed and results are presented in this paper. The comparative analysis among these four speed estimation methods shows that reactive power MRAS with NFC as adaptation mechanism shows reduced speed estimation error and actual speed error at steady state operating conditions when the drive is subjected to low speed operation. Simulation carried out using MATLAB-Simulink software to validate the performance of the drive especially at low speeds with rated and variable load conditions.</p>

scholarly journals Voltage Unbalance Effect on the Behavior of IE2, IE3 And IE4 Induction Motor Classes

2021 ◽  
Author(s):  
Jonathan M. Tabora ◽  
Edson O. de Matos ◽  
Thiago M. Soares ◽  
Maria Emília De L. Tostes
Keyword(s):  
Induction Motor ◽  
Motor Performance ◽  
New Technologies ◽  
Operating Conditions ◽  
Electric Motors ◽  
Voltage Unbalance ◽  
Squirrel Cage ◽  
Squirrel Cage Induction Motor ◽  
Cage Induction Motor ◽  
Hybrid Motor

More than 30 million electric motors are sold every year in the world, in the last 20 years the appearance of more efficient electric motors resulted in the replacement of more than 70% of the old motors installed. New technologies are being presented by manufacturers as substitutes for the squirrel cage induction motor (SCIM). Given this scenario, studies should be carried out to analyze the performance of these motors in the same operating conditions to know their main advantages and drawbacks. This study presents a comparison of the performance of electric motors classes IE2, IE3 and IE4 in the presence of voltage unbalance (VU) with under and over voltage. Results show that not only the unbalance percentage present impacts the motor performance, but also the magnitudes of the voltages present. The VU also results in an increase in the harmonics present in each motor, mainly in the permanent magnet hybrid motor, which presents non-linear characteristics.

scholarly journals Indirect vector control for induction motor drive using two level and five level inverter

2019 ◽  
Vol 8 (2) ◽  
pp. 134
Author(s):  
Ankit Agrawal ◽  
Rakesh Singh Lodhi ◽  
Pragya Nema
Keyword(s):  
Vector Control ◽  
Induction Motor ◽  
Lower Order ◽  
Torque Ripple ◽  
Operating Conditions ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Ac Drives ◽  
And Performance ◽  
Cage Induction Motor

<p>This paper represent modelling &amp; simulation of indirect vector control for induction motor drive using two level and five level inverter. To overcome of lower order harmonics, THD &amp; speed torque characteristics of three phase squirrel cage induction motor. This paper provides solution through indirect vector control &amp; SPWM technique for multilevel inverter. A comparison and performance of two level and five level inverter are used in motor to control speed, current and torque. Matlab simulation environment are taken to simulate indirect vector control for induction motor drive using two level and five level inverter, so torque ripple minimization, lower order harmonics are reduced, constant speed, constant torque and variable speed variable torque are determined through simulation results. The applications under operating conditions are performed better THD, better reliability in AC drives.</p>

Sign in / Sign up

Export Citation Format

Share Document