Discrete-Time Neural Sliding-Mode Block Control for a DC Motor With Controlled Flux

被引：47
|
作者：
Castaneda, Carlos E. [1 ]
Loukianov, Alexander G. [2 ]
Sanchez, Edgar N. [2 ]
Castillo-Toledo, Bernardino [2 ]
机构：
[1] Univ Guadalajara, Ctr Univ Lagos, Lagos De Moreno 47460, Mexico
[2] Natl Polytech Inst IPN, Adv Studies & Res Ctr CINVESTAV, Zapopan 45015, Mexico
来源：
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2012年 / 59卷 / 02期
关键词：
Direct current (dc) motor; neural networks (NNs); sliding-mode (SM) control; DRIVE;
D O I：
10.1109/TIE.2011.2161246
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An adaptive discrete-time tracking controller for a direct current motor with controlled excitation flux is presented. A recurrent neural network is used to identify the plant model; this neural identifier is trained with an extended Kalman filter algorithm. Then, the discrete-time block-control and sliding-mode techniques are used to develop the trajectory tracking. This paper also includes the respective stability analysis for the whole closed-loop system. The effectiveness of the proposed control scheme is verified via real-time implementation.
引用
收藏
页码：1194 / 1207
页数：14
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