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Abstract
In this paper, we present a technique that use fuzzy control to guarantee stability during off-line training operation and neural networks to model the inverse characteristics of drive systems with changing parameters and load. The computer simulation results indicate that the proposed approach can be promising method to overcome the ill effects of wide-ranging parameter variations.
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Article Details
Issue: Vol 2 No 4&5 (1999)
Page No.: 133-138
Published: May 31, 1999
Section: Article
DOI: https://doi.org/10.32508/stdj.v2i4&5.3640
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Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Viet Hung, N., & Thanh Mai, T. (1999). FUZZY AND NEUROCONTROL OF DRIVE SYSTEMS WITH CHANGING PARAMETER AND LOAD. Science and Technology Development Journal, 2(4&5), 133-138. https://doi.org/https://doi.org/10.32508/stdj.v2i4&5.3640
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