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Single input fuzzy logic controller for magnetic levitation system

Abdullah, Shahrum Shah and Ishaque, K. and Saleem, Y. and Amjad, M. and Rashid, M. (2011) Single input fuzzy logic controller for magnetic levitation system. In: 2011 4th International Conference on Modeling, Simulation and Applied Optimization, ICMSAO 2011. IEEE, Kuala Lumpur, pp. 1-6. ISBN 978-145770003-3

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Official URL: http://dx.doi.org/10.1109/ICMSAO.2011.5775630

Abstract

Fuzzy logic controller (FLC) is an attractive alternative to existing classical or modern controllers for designing the challenging Non-linear control systems. However conventional FLC (CFLC) performance is greatly dependent on its inference rules. In most cases, the more rules being applied to a FLC, the accuracy of the control action is enhanced at the expense of longer computational time. As a result, FLC implementation requires fast and high performance processors. In this paper, it is shown that the inference rule table of a two-input FLCs used to control a magnetic levitation system can be reduced to a Single Input Fuzzy Logic Controller (SIFLC), which can be easily implemented using a lookup table. Simulated results are presented to demonstrate the equivalency of SIFLC and CFLC.

Item Type:Book Section
Uncontrolled Keywords:magnetic levitation, nonlinear control systems, table lookup
Subjects:T Technology > T Technology (General)
Divisions:Others
ID Code:30071
Deposited By: Fazli Masari
Deposited On:21 Apr 2013 03:34
Last Modified:04 Feb 2017 06:59

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