Fuzzy Logic Control of Material Forming Process
Document Type
Article
Publication Date
1-1-1997
Identifier/URL
40241230 (Pure); 85126936806 (QABO); 0031387957 (Scopus)
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Abstract
Adaptive controllers with self-adjustment capabilities possess many advantages over conventional methods. An adaptive fuzzy controller may be implemented either in a direct form or in an indirect form, and it is generally referred to as a self-organizing controller. One advantage of fuzzy controllers is their simple computation requirements in comparison with more algorithmic-based controllers. A metal forming process is a good candidate for the implementation of fuzzy logic rules because of its nonlinear and stochastic properties. In this paper, a prototype electromechanical forming machine was developed and tested. The system includes an optical sensor, an AC induction motor, a servo controller, a forming mechanism, and a microprocessor. The measured state variable is processed by the CPU with a fuzzy logic algorithm. The controller utilizes primary and secondary errors between the actual response and desired output to conduct rule reasoning. Results from testing are presented.
Repository Citation
Lieh, J.,
& Li, W. J.
(1997). Fuzzy Logic Control of Material Forming Process. ASME 1997 International Mechanical Engineering Congress and Exposition, 301-306.
https://corescholar.libraries.wright.edu/mme/539
DOI
10.1115/IMECE1997-0409
Comments
Publisher Copyright: © 1997 American Society of Mechanical Engineers (ASME). All rights reserved.