Sensor-less Monitoring of Induction Motor Temperature with an Online Estimation of Stator and Rotor Resistances Taking the Effect of Machine Parameters Variation into account

Sensor-less Monitoring of Induction Motor Temperature with an Online Estimation of Stator and Rotor Resistances Taking the Effect of Machine Parameters Variation into account

© 2022 by IJETT Journal
Volume-70 Issue-6
Year of Publication : 2022
Authors : Bilal Abdullah Nasir
DOI : 10.14445/22315381/IJETT-V70I6P207

How to Cite?

Bilal Abdullah Nasir, "Sensor-less Monitoring of Induction Motor Temperature with an Online Estimation of Stator and Rotor Resistances Taking the Effect of Machine Parameters Variation into account," International Journal of Engineering Trends and Technology, vol. 70, no. 6, pp. 54-62, 2022. Crossref,

A novel and accurate method for induction motor online temperature monitoring based on stator and rotor winding thermal variation using the Arduino-Matlab Simulink technique is proposed and implemented in this paper. Estimating stator resistance as an indicator of stator winding and rotor bars temperature. Obtaining an accurate stator and rotor resistances is very important for this approach.
A new determination of stator and rotor resistances for motor temperature monitoring in steady-state operation is proposed based on the motor dynamic model in a rotating reference frame. In this model, the effect of iron core losses is taken as a reflected voltage drop in the stator and rotor equivalent circuits. The skin and skew effect in the rotor circuit, stray load loss in stator and rotor circuits, variation effect in the magnetizing inductance, and variation in stator and rotor resistances are taken in this model to obtain an accurate temperature online monitoring. An experimental result on a line–connected induction motor satisfied the validity of the proposed model of analysis and method of motor temperature monitoring.

Temperature monitoring, Stator and rotor resistance estimation, Dynamic model, Iron core loss, Stray loss, Skin-effect, Skew effect.

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