@inproceedings{4025e089be714507aef33965c3d96b1d,
title = "FPGA-based recurrent wavelet neural network control system for linear ultrasonic motor",
abstract = "A field-programmable gate array (FPGA)-based recurrent wavelet neural network (RWNN) control system is proposed to control the mover position of a linear ultrasonic motor (LUSM) in this study. First, the structure and operating principles of the LUSM are introduced. Since the dynamic characteristics and motor parameters of the LUSM are nonlinear and time-varying, an RWNN controller is designed to improve the control performance for the precision tracking of various reference trajectories. The network structure and its on-line learning algorithm using delta adaptation law of the RWNN are described in detail. Moreover, an FPGA chip is adopted to implement the developed control algorithm for possible low-cost and high-performance industrial applications. Finally, the effectiveness of the proposed control system is verified by some experimental results.",
author = "Hung, {Ying Chih} and Lin, {Faa Jeng}",
year = "2009",
doi = "10.1109/ISDA.2009.61",
language = "???core.languages.en_GB???",
isbn = "9780769538723",
series = "ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications",
pages = "1290--1295",
booktitle = "ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications",
note = "9th International Conference on Intelligent Systems Design and Applications, ISDA 2009 ; Conference date: 30-11-2009 Through 02-12-2009",
}