Stochastic Estimation Methods for Induction Motor Transient Thermal Monitoring Under Non Linear Condition

The induction machine, because of its robustness and low-cost, is commonly used in the industry. Nevertheless, as every type of electrical machine, this machine suffers of some limitations. The most important one is the working temperature which is the dimensioning parameter for the definition of the nominal working point and the machine lifetime. Due to a strong demand concerning thermal monitoring methods appeared in the industry sector. In this context, the adding of temperature sensors is not acceptable and the studied methods tend to use sensorless approaches such as observators or parameters estimators like the extended Kalman Filter (EKF). Then the important criteria are reliability, computational cost ad real time implementation.¶

[1]  Dave Staton,et al.  Thermal Behaviour of Electrical Motors – An Analytical Approach , 2009 .

[2]  Éric Chauveau.  Contribution au calcul electromagnetique et thermique des machines electriques application a l'etude de l'influence des harmoniques sur l'echauffement des moteurs asynchrones , 2001 .

[3]  K. Hameyer,et al.  Development and validation of a fast thermal finite element solver , 2008, 2008 18th International Conference on Electrical Machines.

[4]  S. K. Sen,et al.  Use of 3-dimensional finite elements for computation of temperature distribution in the stator of an induction motor , 1991 .

[5]  J. F. Moreno,et al.  Realisation of tests to determine the parameters of the thermal model of an induction machine , 2001 .

[6]  T.G. Habetler,et al.  An adaptive Kalman filtering approach to induction machine stator winding temperature estimation based on a hybrid thermal model , 2005, Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005..

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

[8]  Roderick Melnik,et al.  Computational analysis of temperature rise phenomena in electric induction motors , 2003 .

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

[10]  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).

[11]  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.

[12]  Andrea Cavagnino,et al.  Evolution and Modern Approaches for Thermal Analysis of Electrical Machines , 2009, IEEE Transactions on Industrial Electronics.

[13]  M.E.H. Benbouzid,et al.  H-G diagram based rotor parameters identification for induction motors thermal monitoring , 2000 .

[14]  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 .