Title :
Inter-Turn Fault Detection in PM Synchronous Machines by Physics-Based Back Electromotive Force Estimation
Author :
Sarikhani, Ali ; Mohammed, Osama A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
Abstract :
In this paper, the inter-turn short circuit fault detection in permanent magnet synchronous machines (PMSM) using an open-loop physics-based back electromotive force (EMF) estimator is presented. The back EMF estimator is designed based upon a current mode tracking scheme. The thermal and saturation aspects of the machine are considered in the design of the estimator. The design procedure and stability criteria of the estimator are presented in detail. The fault detection is carried out based on the difference between the estimated back EMF and a reference back EMF. A 0.8 (kW) PMSM is studied experimentally as well as numerically under different inter-turn fault and operational contingencies. The numerical modeling is accomplished by a finite-element-based model coupled with the thermal network and polluted with inter-turn fault. The acceptable agreement between the simulated and experimental result validates the modeling process. The back EMF estimator fault detection system is led to discriminative inter-turn fault signatures in a fraction of second for wide speed range even in the presence of harmonic loads and dynamic eccentricities.
Keywords :
electric potential; numerical analysis; permanent magnet machines; short-circuit currents; synchronous motors; PM synchronous machines; PMSM; back EMF estimator; current mode tracking scheme; discriminative interturn fault signatures; dynamic eccentricities; estimated back EMF; finite-element-based model; harmonic loads; inter-turn fault; inter-turn short circuit fault detection; numerical modeling; open-loop physics-based back electromotive force; operational contingencies; permanent magnet synchronous machines; physics-based back electromotive force estimation; power 0.8 kW; reference back EMF; stability criteria; thermal network; Circuit faults; Computational modeling; Mathematical model; Numerical models; Resistance; Stators; Windings; Electrical fault detection; electromagnetic modeling; fault diagnosis; parameter estimation; permanent magnet machine; thermal analysis;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2012.2222857