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
收藏
页码：396 / 408
页数：13
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