Adaptive control of printing devices using fractional-order hold circuits adjusted through neural networks

被引：8
作者：
Barcena, Rafael [1 ]
Etxebarria, Ainhoa [1 ]
机构：
[1] Univ Basque Country, Escuela Ingn Tecn Ind, Dept Elect & Telecommun, E-48012 Bilbao, Spain
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2007年 / 344卷 / 06期
关键词：
intelligent control; neural networks; adaptive control; FROH circuits;
D O I：
10.1016/j.jfranklin.2006.10.001
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 connectionist method for autotuning the free parameter of a fractional-order hold (FROH) circuit in order to improve the performance of the digitally controlled systems is proposed. Such a technique employs multilayer perceptrons to approximate the mapping between the sampling period/continuous-time parameters of the estimated plant and the optimal value of the FROH adjustable gain. In this way, adaptive discretization systems to improve the stability properties of the resulting discrete-time zeros are implemented. Simulation results are presented in order to illustrate the properties of the complete system applied to two actual digitally controlled printing devices (HP 7090A and low-cost computer printer). (c) 2006 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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页码：801 / 812
页数：12
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