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A short circuit fault estimation in PMSM: A comparative study of an adaptive observer and an unknown inputs observer

  • F. Sdiri , Y. Bensalem , H. Trabelsi and M. Abdelkrim
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Power Systems & Smart Energies
This chapter is in the book Power Systems & Smart Energies

Abstract

Recently, interest has been increased on model-based approaches for fault detection and particularly focused on observers. The fault detection methods based on observers are considered as successful method. This paper presents a comparative study between two observation techniques applied to field oriented control of permanent magnet synchronous machine (PMSM) under inter turn short circuit. These approaches are used to estimate the PMSM machine state vector and the fault current. The comparative study is done between the adaptive and the unknown inputs observer in order to choose which exhibits the highest performance. Finally, the simulation results are compared to validate the accuracy of analytic method.

Abstract

Recently, interest has been increased on model-based approaches for fault detection and particularly focused on observers. The fault detection methods based on observers are considered as successful method. This paper presents a comparative study between two observation techniques applied to field oriented control of permanent magnet synchronous machine (PMSM) under inter turn short circuit. These approaches are used to estimate the PMSM machine state vector and the fault current. The comparative study is done between the adaptive and the unknown inputs observer in order to choose which exhibits the highest performance. Finally, the simulation results are compared to validate the accuracy of analytic method.

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