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FUZZY INVERSION BASED ON PIECEWISE LINEARIZATION AND RULE BASE REDUCTION
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| Author(s) |
P. Baranyi; P. Korondi; H. Hashimoto |
| Abstract |
This paper proposes a new design method based on linguistic model inversion and fuzzy rule
reduction using singular value decomposition. Firstly, a piecewise linear fuzzy approximation of the
controlled plant is identified by measurement. Secondly, the linear cells of the fuzzy model is inverted to
achieve a controller. The inversion increases the fuzzy rule base. Thirdly, the redundant or small weighted
information are removed from the fuzzy rule base. Experimental results of a transputer controlled
single-degree-of-freedom motion control system are presented. The experimental system consists of a
conventional DC servo gear motor with encoder feedback and variable inertia load coupled by a relatively
rigid shaft. |
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| Filename: | Unnamed file |
| Filesize: | 527 KB |
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| Type |
Members Only |
| Date |
Last modified 2016-03-21 by System |
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