High performance sensorless controls based on HF excitation: A viable solution for future AC motor drives?

Scarcella, G.; Scelba, G.; Testa, A.

doi:10.1109/wemdcd.2015.7194527

Cited by 24 publications

(1 citation statement)

References 68 publications

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“…Referring to the HF model of the machine, the difference between the d-and q-axis incremental inductances affects the magnitude of the currents, which can in turn be measured to detect the rotor position [6].…”

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confidence: 99%

Analysis of overload and sensorless control capability of PM-assisted synchronous reluctance machines

Leuzzi

Cagnetta

Ferrari

et al. 2017

2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

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Synchronous reluctance machines are a valid alternative to induction motors for industrial applications requiring variable speed regulation. To mitigate the well-known downside of their lower power factor, permanent-magnetassisted topologies are adopted. Both high-strength rare-earth magnets and low cost ferrite magnets can be used in such machines. Their design and optimization procedures have been discussed in related literature. This paper compares synchronous reluctance machines assisted with NdFeB and ferrite magnets, focusing on torque overload capability and feasibility of saliencybased position estimation algorithms. Three prototypes were realized and tested. They all have the stator of a commercial induction motor, and three custom synchronous reluctance rotors with same laminations: one has no magnets, the other two have NdFeB and ferrite magnets respectively, designed to give the same torque at rated current. Results from simulations and experiments are presented, focusing on torque and demagnetization limits in the over-current loading range. Moreover, the feasibility of saliency-based sensorless methods is investigated, both at high and low current loads. The results of the paper suggest that the ferrite-assisted solution is the candidate solution for replacing induction motors in variable speed applications.

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confidence: 99%