PubAg

Main content area

Theoretical Control and Experimental Verification of Carded Web Density Part III: Neural Network Controller Design

Author:
Chung-Feng Jeffrey Kuo,, Chang-Chung Wang,, Chien-Teng Hsieh,
Source:
Textile research journal 1999 v.69 no.6 pp. 401-406
ISSN:
0040-5175
Subject:
algorithms, computer simulation, dynamic models, fabrics, neural networks, textile fibers
Abstract:
A nonminimum phase property of a carded web system introduces difficulties for both classical control and neural network inverse model control. In this part of the series of papers, a two-stage artificial neural network model, including a controlled system learning scheme and controller design, is illustrated by application to feedback control for uniformly carded web density. A learning scheme is introduced using the dynamic model for general learning of the neural network along with a modified error back propagation algorithm based on propagation of the output error through the plant. A performance comparison is made of conventional control versus the artificial neural network control scheme, and the advantages of the new control strategy are effectively revealed by computer simulations.
Agid:
6169395