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

Communication avec acte
Author
DE BELIE, Frederic
ccSEMAIL, Eric
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
ccKESTELYN, Xavier
NGUYEN, Ngac Ky

URI
http://hdl.handle.net/10985/11198
Date
2016

Abstract

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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