Communication Dans Un Congrès Année : 2016

Adaline Neural Networks-based Sensorless Control of Five-Phase PMSM Drives

Résumé

This papers presents a sensorless control for fivephase PM synchronous machines. An adaptive method, based on a linear neural network called Adaline (Adaptive Linear Neural Networks), has been achieved to estimate the rotor position with a high precision even at low speed without high frequency signal injection. Non-sinusoidal three-phase PM machines require more complex algorithm for sensorless control because of harmonics in the back-EMF. This is not the case for multiphase PM machines thanks to the property of equivalent machines in the eigenspace. Some given simulation and experimental results in laboratory confirm the possibility of real-time implementation of Adaline networks and the good performance of sensorless control based on this.

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Dates et versions

hal-03170426 , version 1 (16-03-2021)

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  • HAL Id : hal-03170426 , version 1

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Ngac Ky Nguyen, Eric Semail, Frederic de Belie, Xavier Kestelyn. Adaline Neural Networks-based Sensorless Control of Five-Phase PMSM Drives. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Oct 2016, Florence, Italy. pp.6. ⟨hal-03170426⟩
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