ELIMINATION OF UNBALANCE IN MAGNETIC BEARING SYSTEMS WITH NEURO-FUZZY REDUCED ORDER OBSERVER
A., E., E., E., S., H. (2006). ELIMINATION OF UNBALANCE IN MAGNETIC BEARING SYSTEMS WITH NEURO-FUZZY REDUCED ORDER OBSERVER. EKB Journal Management System, 12(12th International Conference on Applied Mechanics and Mechanical Engineering.), 573-587. doi: 10.21608/amme.2006.41373
El Tantawie, M. A.; EL Soaly, E. E.; Hassan, S. S.. "ELIMINATION OF UNBALANCE IN MAGNETIC BEARING SYSTEMS WITH NEURO-FUZZY REDUCED ORDER OBSERVER". EKB Journal Management System, 12, 12th International Conference on Applied Mechanics and Mechanical Engineering., 2006, 573-587. doi: 10.21608/amme.2006.41373
A., E., E., E., S., H. (2006). 'ELIMINATION OF UNBALANCE IN MAGNETIC BEARING SYSTEMS WITH NEURO-FUZZY REDUCED ORDER OBSERVER', EKB Journal Management System, 12(12th International Conference on Applied Mechanics and Mechanical Engineering.), pp. 573-587. doi: 10.21608/amme.2006.41373
A., E., E., E., S., H. ELIMINATION OF UNBALANCE IN MAGNETIC BEARING SYSTEMS WITH NEURO-FUZZY REDUCED ORDER OBSERVER. EKB Journal Management System, 2006; 12(12th International Conference on Applied Mechanics and Mechanical Engineering.): 573-587. doi: 10.21608/amme.2006.41373

ELIMINATION OF UNBALANCE IN MAGNETIC BEARING SYSTEMS WITH NEURO-FUZZY REDUCED ORDER OBSERVER

The International Conference on Applied Mechanics and Mechanical Engineering
Article 9, Volume 12, 12th International Conference on Applied Mechanics and Mechanical Engineering., May 2006, Page 573-587  XML PDF (120.04 K)
Document Type: Original Article
DOI: 10.21608/amme.2006.41373
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Authors
El Tantawie, M. A.1; EL Soaly, E. E.2; Hassan, S. S.3
1Lecturer Mech. Eng. Dept. H.T.I.
2Prof. Mech. Eng. Dept. H.T.I.
3Prof. Aerospace. Dept. Faculty of Engineering, Cairo University.
Abstract
ABSTRACT
Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to design fuzzy reduced order
observer for solving the problem of unbalance in magnetic bearing systems. Nonlinear
model of magnetic bearing with unbalance is very complicated and coupling between
various states cannot be neglected. With classical methods no one can eliminate
disturbances without linearization of the system and neglecting some terms from the
nonlinear model. In this paper ANFIS is used to acquire desired membership functions
of the fuzzy rules for reduced order observer to achieve rejection of unbalance.
Simulation results show that fuzzy observer can eliminate the effect of unbalance at any
rotational speed.
Keywords
ANFIS; disturbance rejection; gain scheduling; magnetic bearing; and reduced order observer
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