Classification and comparison of rotor temperature estimation methods of squirrel cage induction motors

Abstract In order to ensure the stable and reliable operation of the squirrel cage induction motors (SCIMs), it is very important to know their rotor temperature. The rotor overheating causes serious damages on rotor bars and end rings. The direct measurement of the rotor temperature by means of thermal sensors is expensive and the installation and utilization process of their corresponding data acquisition devices is difficult. Therefore, the estimation methods of the SCIM’s rotor temperature are proposed which are classified into three main methods: parameter estimation methods, thermal model-based estimation methods, and hybrid methods. The present paper describes and analyses and compares the assumptions, requirements, advantages, and drawbacks of these methods comprehensively. This review could be useful to advance the path of the previous researches in the field of the SCIM’s rotor temperature estimation and could be effective to find the novel methods with more advantages and less drawbacks in the future.

[1]  Emre Ozsoy,et al.  Simultaneous rotor and stator resistance estimation of squirrel cage induction machine with a single extended kalman filter , 2010 .

[2]  Siliang Lu,et al.  Bearing fault diagnosis of a permanent magnet synchronous motor via a fast and online order analysis method in an embedded system , 2017, Mechanical Systems and Signal Processing.

[3]  Murat Barut,et al.  Braided extended Kalman filters for sensorless estimation in induction motors at high-low/zero speed , 2007 .

[4]  Atsuo Kawamura,et al.  Sensorless very low-speed and zero-speed estimations with online rotor resistance estimation of induction motor without signal injection , 2000 .

[5]  David J. Atkinson,et al.  Estimation of rotor resistance in induction motors , 1996 .

[6]  D. R. Turner,et al.  Real Time Prediction of Temperatures in an Induction Motor Using a Microprocessor , 1988 .

[7]  R. V. Carrillo-Serrano,et al.  Estimating rotor parameters in induction motors using high-order sliding mode algorithms , 2015 .

[8]  Jul-Ki Seok,et al.  Induction Motor Rotor Temperature Estimation Based on a High-Frequency Model of a Rotor Bar , 2009, IEEE Transactions on Industry Applications.

[9]  Gunnar Kylander,et al.  Thermal Modelling of Small Cage Induction Motors , 1995 .

[10]  T.M. Rowan,et al.  A simple on-line adaptation for indirect field orientation of an induction machine , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.

[11]  Yuan Zhao,et al.  Wind Speed Prediction of IPSO-BP Neural Network Based on Lorenz Disturbance , 2018, IEEE Access.

[12]  Ogbonnaya I. Okoro.  Thermal Analysis of Squirrel-Cage Induction Machine , 2004 .

[13]  M. S. Nait Said,et al.  Induction motors direct field oriented control with robust on-line tuning of rotor resistance , 1999 .

[14]  Federico Cheli,et al.  MRAS rotor resistance estimators for EV vector controlled induction motor traction drive: Analysis and experimental results , 2017 .

[15]  Tadashi Fukao,et al.  Robust speed identification for speed sensorless vector control of induction motors , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[16]  Aurelio García-Cerrada,et al.  Rotor-resistance estimation for induction machines with indirect-field orientation , 2007 .

[17]  Atsuo Kawamura,et al.  Online rotor resistance estimation using the transient state under the speed sensorless control of induction motor , 2000 .

[18]  Zhi Gao,et al.  Supply Frequency Tracking in Resistance-Based Induction Motor's Rotor Temperature Estimation , 2014, IEEE Transactions on Industry Applications.

[19]  N. Nait-Said.  Rotor Resistance Estimation of an Induction Motor to Detect Broken Bars Fault Using H-H Method , 2004 .

[20]  Murat Barut,et al.  Switching EKF technique for rotor and stator resistance estimation in speed sensorless control of IMs , 2007 .

[21]  Mohamed K. Metwaly,et al.  Sensorless Torque/Speed Control of Induction Motor Drives at Zero and Low Frequencies With Stator and Rotor Resistance Estimations , 2016, IEEE Journal of Emerging and Selected Topics in Power Electronics.

[22]  Thomas Bäuml,et al.  Thermal Model and Behavior of a Totally-Enclosed-Water-Cooled Squirrel-Cage Induction Machine for Traction Applications , 2008, IEEE Transactions on Industrial Electronics.

[23]  B. Karanayil,et al.  Online Stator and Rotor Resistance Estimation Scheme Using Artificial Neural Networks for Vector Controlled Speed Sensorless Induction Motor Drive , 2007, IEEE Transactions on Industrial Electronics.

[24]  H. Madadi Kojabadi.  Active power and MRAS based rotor resistance identification of an IM drive , 2009, Simul. Model. Pract. Theory.

[25]  R. Harley,et al.  A stator and rotor resistance estimation technique for conductor temperature monitoring , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[26]  Riccardo Marino,et al.  On-line stator and rotor resistance estimation for induction motors , 2000, IEEE Trans. Control. Syst. Technol..

[27]  Murat Barut,et al.  Real-Time Implementation of Bi Input-Extended Kalman Filter-Based Estimator for Speed-Sensorless Control of Induction Motors , 2012, IEEE Transactions on Industrial Electronics.

[28]  Thomas G. Habetler,et al.  A Sensorless Rotor Temperature Estimator for Induction Machines Based on a Current Harmonic Spectral Estimation Scheme , 2008, IEEE Transactions on Industrial Electronics.

[29]  T.G. Habetler,et al.  A Sensorless Adaptive Stator Winding Temperature Estimator for Mains-Fed Induction Machines With Continuous-Operation Periodic Duty Cycles , 2006, IEEE Transactions on Industry Applications.

[30]  Thomas G. Habetler,et al.  A Transfer-Function-Based Thermal Model Reduction Study for Induction Machine Thermal Overload Protective Relays , 2010 .

[31]  Zhi Gao,et al.  A Complex Space Vector Approach to Rotor Temperature Estimation for Line-Connected Induction Machines With Impaired Cooling , 2009, IEEE Transactions on Industrial Electronics.

[32]  Ying Wu,et al.  Induction-motor stator and rotor winding temperature estimation using signal injection method , 2006, IEEE Transactions on Industry Applications.

[33]  M. Cirrincione,et al.  MRAS Speed Observer for High-Performance Linear Induction Motor Drives Based on Linear Neural Networks , 2013, IEEE Transactions on Power Electronics.

[34]  Abdul Gafoor Shaik,et al.  Faulty bearing detection, classification and location in a three-phase induction motor based on Stockwell transform and support vector machine , 2019, Measurement.

[35]  Hamid Reza Izadfar,et al.  DESIGN AND OPTIMIZATION OF PERMANENT MAGNET SYNCHRONOUS GENERATOR FOR USE IN HYDRODYNAMIC RENEWABLE ENERGY BY APPLYING ACO AND FEA , 2017 .

[36]  Bertrand Raison,et al.  Comparison of two extended observers for the resistance estimation of an induction machine , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[37]  R.D. Lorenz,et al.  A simplified approach to continuous, online tuning of field oriented induction machine drives , 1988, Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.

[38]  S. Hadjeri,et al.  Adaptive sliding-mode-observer for sensorless induction motor drive using two-time-scale approach , 2008, Simul. Model. Pract. Theory.

[39]  Yoichi Hori,et al.  An Adaptive Speed Sensorless Induction Motor Drive With Artificial Neural Network for Stability Enhancement , 2012, IEEE Transactions on Industrial Informatics.

[40]  R. Beguenane,et al.  Induction motors thermal monitoring by means of rotor resistance identification , 1997, 1997 IEEE International Electric Machines and Drives Conference Record.

[41]  H.-J. Koglin,et al.  Determination of the absolute rotor temperature of squirrel cage induction machines using measurable variables , 2004, IEEE Transactions on Energy Conversion.

[42]  K. Matsuse,et al.  Speed sensorless field oriented control of induction motor with rotor resistance adaptation , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[43]  Murat Barut,et al.  Experimental Evaluation of Braided EKF for Sensorless Control of Induction Motors , 2008, IEEE Transactions on Industrial Electronics.

[44]  Murat Barut,et al.  Bi Input-extended Kalman filter based estimation technique for speed-sensorless control of induction motors , 2010 .

[45]  Thomas G. Habetler,et al.  A thermal monitoring and parameter tuning scheme for induction machines , 1997, IAS '97. Conference Record of the 1997 IEEE Industry Applications Conference Thirty-Second IAS Annual Meeting.

[46]  F. Briz,et al.  Temperature Estimation in Inverter Fed Machines Using High Frequency Carrier Signal Injection , 2007, 2007 IEEE Industry Applications Annual Meeting.

[47]  Rene de Jesus Romero-Troncoso,et al.  Enhanced FFT-based method for incipient broken rotor bar detection in induction motors during the startup transient , 2018, Measurement.

[48]  C. Kral,et al.  Rotor temperature estimation of squirrel-cage induction motors by means of a combined scheme of parameter estimation and a thermal equivalent model , 2004, IEEE Transactions on Industry Applications.

[49]  Hayde Peregrina-Barreto,et al.  Hilbert Spectrum Analysis of Induction Motors for the Detection of Incipient Broken Rotor Bars , 2017 .

[50]  Tansu Filik,et al.  Wind Speed Prediction Using Artificial Neural Networks Based on Multiple Local Measurements in Eskisehir , 2017 .

[51]  Hypolito José Kalinowski,et al.  Validation of thermal and electrical model for induction motors using fiber Bragg gratings , 2013 .

[52]  Y. Zhang,et al.  Improved Wind Speed Prediction Using Empirical Mode Decomposition , 2018 .

[53]  Chitra Venugopal.  Estimating rotor resistance of wound rotor induction motor by look-up table and fuzzy logic approach , 2015 .

[54]  Oskar Wallmark,et al.  Thermal Modeling of Directly Cooled Electric Machines Using Lumped Parameter and Limited CFD Analysis , 2013, IEEE Transactions on Energy Conversion.

[55]  Norman Mariun,et al.  Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review , 2011 .

[56]  B. Karanayil,et al.  Stator and rotor resistance observers for induction motor drive using fuzzy logic and artificial neural networks , 2005 .

[57]  Arezki Menacer,et al.  Rotor resistance estimation using Extended Kalman filter and spectral analysis for rotor bar fault diagnosis of sensorless vector control induction motor , 2017 .

[58]  F. R. Salmasi,et al.  An Adaptive Observer With Online Rotor and Stator Resistance Estimation for Induction Motors With One Phase Current Sensor , 2011, IEEE Transactions on Energy Conversion.

[59]  Predrag Osmokrovic,et al.  A novel approach for temperature estimation in squirrel-cage induction motor without sensors , 1999, IEEE Trans. Instrum. Meas..

[60]  Wei Xu,et al.  Rotor Resistance Online Identification of Vector Controlled Induction Motor Based on Neural Network , 2014 .

[61]  Peter A. Fritzson,et al.  Principles of object-oriented modeling and simulation with Modelica 2.1 , 2004 .

[62]  A.H. Eltom,et al.  Motor Temperature Estimation Incorporating Dynamic Rotor Impedance , 1991, IEEE Power Engineering Review.

[63]  Mario Eltabach,et al.  Asynchronous machine rotor speed estimation using a tabulated numerical approach , 2017 .

[64]  Barry W. Williams,et al.  Modeling and simulation of induction machine vector control with rotor resistance identification , 1997 .

[65]  Maciej Orman,et al.  Parameter identification and slip estimation of induction machine , 2011 .

[66]  Shuang Gao,et al.  Wind speed prediction with RBF neural network based on PCA and ICA , 2018 .

[67]  J. H. Dymond,et al.  Instrumentation, testing and analysis of electric machine rotor steady-state heating , 2001, Record of Conference Papers. IEEE incorporated Industry Applications Society. Forty-Eighth Annual Conference. 2001 Petroleum and Chemical Industry Technical Conference (Cat. No.01CH37265).

[68]  P. Childs,et al.  Review of temperature measurement , 2000 .

[69]  H. Kapeller,et al.  Comparison of two rotor temperature estimation models of a surface cooled squirrel cage induction machine , 2005, IEEE International Conference on Electric Machines and Drives, 2005..

[70]  A. Smalcerz,et al.  Impact of Electromagnetic Field upon Temperature Measurement of Induction Heated Charges , 2013 .

[71]  Shailendra Jain,et al.  Rotor Resistance Estimation of Vector Controlled Induction Motor Drive using GA/PSO tuned Fuzzy Controller , 2016 .

[72]  S. M. Hoseini,et al.  Optimal Design of PM Synchronous Generator for Aerial Industries Power Supply Using Cuckoo Algorithm , 2014 .

[73]  J. K. Al-Tayie,et al.  Estimation of speed, stator temperature and rotor temperature in cage induction motor drive using the extended Kalman filter algorithm , 1997 .

[74]  Michael Buchholz,et al.  Rotor Temperature Modeling of an Induction Motor using Subspace Identification , 2015 .

[75]  Adam Glowacz,et al.  Acoustic-Based Fault Diagnosis of Commutator Motor , 2018, Electronics.

[76]  Slobodan N. Vukosavic,et al.  Estimator of the Rotor Temperature of Induction Machine Based on Terminal Voltages and Currents , 2017, IEEE Transactions on Energy Conversion.

[77]  Giuseppe Guidi,et al.  Consideration about problems and solutions of speed estimation method and parameter tuning for speed sensorless vector control of induction motor drives , 2000, Conference Record of the 2000 IEEE Industry Applications Conference. Thirty-Fifth IAS Annual Meeting and World Conference on Industrial Applications of Electrical Energy (Cat. No.00CH37129).

[78]  Bozo Terzic,et al.  Sensorless speed detection of squirrel-cage induction machines using stator neutral point voltage harmonics , 2009 .

[79]  Ricardo Nicolau Nassar Koury,et al.  Prediction of wind speed and wind direction using artificial neural network, support vector regression and adaptive neuro-fuzzy inference system , 2018 .

[80]  Luis J. Garces.  Parameter Adaption for the Speed-Controlled Static AC Drive with a Squirrel-Cage Induction Motor , 1980, IEEE Transactions on Industry Applications.

[81]  Adam Glowacz,et al.  Fault diagnosis of single-phase induction motor based on acoustic signals , 2019, Mechanical Systems and Signal Processing.

[82]  Siliang Lu,et al.  A New Methodology to Estimate the Rotating Phase of a BLDC Motor With Its Application in Variable-Speed Bearing Fault Diagnosis , 2018, IEEE Transactions on Power Electronics.

[83]  A. F. Stronach,et al.  A stable back-EMF MRAS-based sensorless low-speed induction motor drive insensitive to stator resistance variation , 2004 .

[84]  Takashi Kato,et al.  Permanent-Magnet Temperature Estimation in PMSMs Using Pulsating High-Frequency Current Injection , 2015, IEEE Transactions on Industry Applications.

[85]  Wenzhong Gao,et al.  A simple model-based online rotor time constant estimator for an induction machine , 2004 .

[86]  Zhi Gao,et al.  Induction motor rotor temperature estimation using superheterodyne receivers , 2011, 2011 IEEE Energy Conversion Congress and Exposition.

[87]  Ph. K. Sattler,et al.  On-line-estimation of temperatures in electrical machines by an observer , 1993 .

[88]  E. Rezaei,et al.  ROTOR RESISTANCE IDENTIFICATION USING NEURAL NETWORKS FOR INDUCTION MOTOR DRIVES IN THE CASE OF INSENSITIVITY TO LOAD VARIATIONS , 2006 .

[89]  Jose L. Silvino,et al.  ROTOR RESISTANCE ESTIMATION FOR SLIP ADAPTATION IN SENSORLESS INDUCTION MACHINE DRIVES , 1998 .