Adaptive direct fuzzy control of SISO nonlinear systems using a fuzzy reference model

Sanaz Tahmasebi*, Mojtaba Ahmadieh Khanesar, Mohammad Teshnehlab

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This study presents a novel fuzzy adaptive controller comprising a fuzzy direct model reference mechanism to control uncertain nonlinear SISO systems. The proposed method benefits from a reference model which is itself fuzzy. Since the reference model is fuzzy it has more degrees of freedom to define a more appropriate dynamic behavior for the system to be controlled. The flexibility caused by the fuzzy reference model makes it possible for the system to outperform the case when the reference signal is linear in terms of rise time and settling time. In addition, using the proposed approach, tracking error of the reference system reduces significantly. The direct method of Lyapunov is used to prove the stability of the system. The proposed method is tested on a Duffing oscillator subject to disturbances.

Original languageEnglish
Title of host publication2016 3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016
Number of pages6
PublisherInstitute of Electrical and Electronics Engineers Inc.
Publication date2 Sep 2016
Pages93-98
Article number7560119
ISBN (Electronic)9781467385237
DOIs
Publication statusPublished - 2 Sep 2016
Externally publishedYes
Event3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016 - Zouk-Mosbeh, Lebanon
Duration: 13 Jul 201615 Jul 2016

Conference

Conference3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016
CountryLebanon
CityZouk-Mosbeh
Period13/07/201615/07/2016

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