Article citationsMore>>

Guezmil, A., Berriri, H., Pusca, R., Sakly, A., Romary, R. and Mimouni, M.F. (2017) Detecting Inter-Turn Short-Circuit Fault in Induction Machine Using High-Order Sliding Mode Observer: Simulation and Experimental Verification. Journal of Control, Automation and Electrical Systems, 28, 532-540.
https://doi.org/10.1007/s40313-017-0314-2

has been cited by the following article:

• TITLE: The Detection of Inter-Turn Short Circuits in the Stator Windings of Sensorless Operating Induction Motors

  AUTHORS: Jean Blaise Teguia, Godpromesse Kenne, Alain Tewa Soup Kammogne, Georges Collince Fouokeng, Arnaud Nanfak

  KEYWORDS: Inter-Turn Short Circuits, Active and Reactive Power Based Model Reference Adaptive System, Interconnected High Gain Observer, Fault Detection

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.9 No.3, August 25, 2021

  ABSTRACT: This work proposes an alternative strategy to the use of a speed sensor in the implementation of active and reactive power based model reference adaptive system (PQ-MRAS) estimator in order to calculate the rotor and stator resistances of an induction motor (IM) and the use of these parameters for the detection of inter-turn short circuits (ITSC) faults in the stator of thismotor. The rotor and stator resistance estimation part of the IM is performedby the PQ-MRAS method in which the rotor angular velocity is reconstructed from the interconnected high gain observer (IHGO). The ITSC fault detection part is done by the derivation of stator resistance estimated by the PQ-MRAS estimator. In addition to the speed sensorless detection of ITSCfaults of the IM, an approach to determine the number of shorted turns based on the difference between the phase current of the healthy and faulty machine is proposed. Simulation results obtained from the MATLAB/Simulink platform have shown that the PQ-MRAS estimator using an interconnected high-gain observer gives very similar results to those using the speed sensor. The estimation errors in the cases of speed variation and load torque are almost identical. Variations in stator and rotor resistances influence the performance of the observer and lead to poor estimation of the rotor resistance. The results of ITSC fault detection using IHGO are very similar to the results in the literature using the same diagnostic approach with a speed sensor.