What is it about?

In this paper, a survey is conducted to examine the problem of estimating the states and parameters of an asynchronous machine when some of these measures are not available or the estimation approach is the best solution. The modeling is based on the theory of power dissipation; heat transfer and the rate of temperature increase the stator and the rotor, taking into account the effect of speed on trade. The first purpose of this article is displayed the effect of variable losses depending on the load and constant losses on the thermal behavior of asynchronous motor. According to the sensor’s problems and the obtaining of the thermal information about the rotor, the second goal is the use of a sensorless method like the use of the EKF (extended Kalman filter), some simulation results are given and commented.

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Why is it important?

The Use of EKF to Estimate the Transient Thermal Behaviour of Induction Motor Drive

Perspectives

Since the sensors can be not very reliable or expensive, in addition, the problems of the extraction to thermal information about the rotor are difficult or very expensive. The use of a sensorless approach is strongly recommended. The EKF makes it possible to achieve this goal, and the EKF enables to estimate simultaneously the rotor currents, speed, stator and rotor temperature using only the measurable states, a Gaussian noise has been added to take into account the stator current and voltage sensor noises to make a robust estimate. The simulation study demonstrating that the temperature rise calculation with proposed simplified thermal model in this paper is feasible compared with similar researches. According to our results, the simplified thermal model can be used to estimate both steady state and transient state temperature. In the future, our works will be focused to the thermal monitoring by using EKF

Hacene Mellah
UHBC

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This page is a summary of: The Use of EKF to Estimate the Transient Thermal Behaviour of Induction Motor Drive, J of Electrical Engineering, December 2013, David Publishing Company,
DOI: 10.17265/2328-2223/2013.12.006.
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