Single input fuzzy logic controller for magnetic levitation system
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 FL...
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| Main Authors: | , , , , |
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| Format: | Book Section |
| Published: |
IEEE
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/30071/ http://dx.doi.org/10.1109/ICMSAO.2011.5775630 |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | 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. |
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