A neural-network-based-method on speed control of ultrasonic motors

被引：0

作者：

Liang, YC ^{[1
]}

Shi, XH ^{[1
]}

Lee, HP ^{[1
]}

Lin, WZ ^{[1
]}

Xu, X ^{[1
]}

Lim, SP ^{[1
]}

Lee, KH ^{[1
]}

机构：

[1] Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China

来源：

NANOTECH 2003, VOL 2 | 2003年

关键词：

Elman neural network; recurrent back propagation; ultrasonic motor; control;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An improved Elman network models, output-input feedback (0117) Elman networks is proposed based on the modified Elman network. A neural-network-based iteration control system (NNICS)) is developed by using the OIF Elman network as a passageway of the error back-propagation. The speed of the ultrasonic motor is identified using the modified Elman network and OIF Elman networks, respectively and some useful comparable results are presented. Numerical results show that the NNICS controller is effective for various kinds of reference speeds of the USM and the proposed scheme is fairly robust against random disturbance to the control variable.

引用

页码：546 / 549

页数：4

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