Improved Sensorless Control of Multiphase Synchronous Reluctance Machine Under Position Sensor Fault

This paper presents an investigation on the self-sensing capability of a dual three-phase synchronous reluctance motor. Self-sensing capability refers to the ability of the motor to properly operate in a sensorless drive. The multiphase machine is decomposed into two different three-phase systems ac...

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Bibliographic Details
Published in:IEEE journal of emerging and selected topics in industrial electronics (Print) 2024-01, Vol.5 (1), p.1-9
Main Authors: Galati, Giuseppe, Ortombina, Ludovico, Alberti, Luigi, Berto, Matteo
Format: Article
Language:English
Subjects:
Coils (windings)
Couplings
dual three-phase machine
Electric motors
fault tolerant
Finite element method
high frequency injection
Multiphase
Permanent magnet motors
position observer
Position sensing
Reluctance machinery
Reluctance motors
Rotors
self-sensing capability
sensorless control
synchronous reluctance motor
Torque
Trajectory
Trajectory analysis
Windings
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Summary:This paper presents an investigation on the self-sensing capability of a dual three-phase synchronous reluctance motor. Self-sensing capability refers to the ability of the motor to properly operate in a sensorless drive. The multiphase machine is decomposed into two different three-phase systems according to the multi-stator approach. Several supply scenarios are studied where the two three-phase windings are controlled at different operating points along a reference trajectory. The analysis is carried out both with FEA simulations and experimental tests. In the first part of the paper the rotor is locked to derive the observer trajectories and find the regions in which the motor can operate without position sensor. A comparison between simulated and experimental results is given. Finally, a sensorless control strategy that allows exploiting the motor self-sensing capability under position sensor fault is developed and validated through experimental tests.
ISSN:2687-9735
2687-9743
DOI:10.1109/JESTIE.2023.3294100