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

被引：10

作者：

Ciabattoni, Lucio ^{[1
]}

Corradini, Maria Letizia ^{[2
]}

Grisostomi, Massimo ^{[1
]}

Ippoliti, Gianluca ^{[1
]}

Longhi, Sauro ^{[1
]}

Orlando, Giuseppe ^{[1
]}

机构：

[1] Univ Politecn Marche, Dipartimento Ingn Informaz, I-60131 Ancona, Italy

[2] Univ Camerino, Scuola Sci & Tecnol, I-62032 Camerino, Italy

来源：

ASIAN JOURNAL OF CONTROL | 2014年 / 16卷 / 02期

关键词：

neural network; permanent magnet motor; Radial basis function; nonlinear control; variable structure control; robust control; SLIDING-MODE CONTROL; VARIABLE-STRUCTURE CONTROL; MOBILE ROBOTS; TRACKING CONTROL; SYSTEMS;

D O I：

10.1002/asjc.715

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：396 / 408

页数：13

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