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Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS

M. Raafat, Safanah and Akmeliawati, Rini (2011) Intelligent estimation of uncertainty bounds of an active magnetic bearings using ANFIS. In: 2011 International Conference on Management and Service Science (MASS), 12 - 14 August 2011, Wuhan, China.

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Abstract

Active magnetic bearings is known to be inherently unstable systems that have a widespread applications and an increased potential research area in today’s technology. So far many controllers including H∞ robust controller has been developed for the system. However, proper selection of the required weighting functions for robust and non-conservative controller synthesize is still a critical issue that needs more investigations. In this paper the selection of uncertainty weighting function for the robust controller synthesize is automated by intelligent estimation of uncertainty weighting functions using adaptive neuro fuzzy inference system (ANFIS). Then a robust H∞ controller for the magnetic bearings is designed based on the intelligent estimated uncertainty. v- gap metric is utilized to validate the estimated uncertainty bounds for improved robust stability. Comparison with another neural based estimation method of uncertainty proves the validity of the applied approach

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5806/5387 ISBN: 978-1-4244-6579-8 (P) DOI: 10.1109/ICMSS.2011.5999340
Uncontrolled Keywords: active magnetic bearing; adaptive neuro fuzzy inference systems(ANFIS); H∞ robust controller ; v- gap metric
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof. Dr. Rini Akmeliawati
Date Deposited: 10 Nov 2011 14:35
Last Modified: 25 Jan 2012 08:07
URI: http://irep.iium.edu.my/id/eprint/5387

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