A Discrete‐Time  VS  Controller based on  RBF  Neural Networks for  PMSM  Drives | Zendy

Ciabattoni Lucio | Zendy; Corradini Maria Letizia | Zendy; Grisostomi Massimo | Zendy; Ippoliti Gianluca | Zendy; Longhi Sauro | Zendy; Orlando Giuseppe | Zendy

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A Discrete‐Time VS Controller based on RBF Neural Networks for PMSM Drives

Author(s) -

Ciabattoni Lucio,

Corradini Maria Letizia,

Grisostomi Massimo,

Ippoliti Gianluca,

Longhi Sauro,

Orlando Giuseppe

Publication year - 2014

Publication title -

asian journal of control

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.769

H-Index - 53

eISSN - 1934-6093

pISSN - 1561-8625

DOI - 10.1002/asjc.715

Subject(s) - control theory (sociology) , artificial neural network , differentiator , computer science , tracking error , control engineering , controller (irrigation) , engineering , control (management) , artificial intelligence , bandwidth (computing) , agronomy , biology , computer network

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.

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