A method merging the features of variable structure control and neural network design is presented for speed control of a permanent magnet synchronous motor. The proposed control approach is based on a discrete-time variable structure control and a robust digital differentiator for speed estimation. Radial basis function neural networks are used to learn about uncertainties affecting the system. A stability analysis is provided and the ultimate boundedness of the speed tracking error is proved. Control performance has been evaluated by simulations using the model of a commercial permanent magnet synchronous motor drive.

A discrete-time VS controller based on RBF neural networks for PMSM drives / Ciabattoni, Lucio; Corradini, Maria Letizia; Grisostomi, Massimo; Ippoliti, Gianluca; Longhi, Sauro; Orlando, Giuseppe. - In: ASIAN JOURNAL OF CONTROL. - ISSN 1561-8625. - 16:2(2014), pp. 396-408. [10.1002/asjc.715]

A discrete-time VS controller based on RBF neural networks for PMSM drives

CIABATTONI, LUCIO;GRISOSTOMI, Massimo;IPPOLITI, Gianluca;LONGHI, SAURO;ORLANDO, Giuseppe
2014-01-01

Abstract

A method merging the features of variable structure control and neural network design is presented for speed control of a permanent magnet synchronous motor. The proposed control approach is based on a discrete-time variable structure control and a robust digital differentiator for speed estimation. Radial basis function neural networks are used to learn about uncertainties affecting the system. A stability analysis is provided and the ultimate boundedness of the speed tracking error is proved. Control performance has been evaluated by simulations using the model of a commercial permanent magnet synchronous motor drive.
2014
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/95662
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