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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