Abstract
A novel self-tuning fuzzy controller and its VLSI implementation are developed based on variable universe of discourse. This fuzzy controller is constructed by applying a contraction factor before each input of a conventional fuzzy controller, and a self-tuning gain factor after its output, while all the factors are adjusted with the input variables according to a simplified adaptive law. This fuzzy controller has some features: the contraction factors and output gain factor that improve the performance of the controller are based on variable universe of discourse; these factors are simplified for VLSI implementation; only the active rules are processed and the division in the operation of COA defuzzification is omitted by setting the denominator equal to 1. Results of Matlab – ActiveHDL co-simulation indicate that this self-tuning fuzzy controller works successfully in controlling a nonlinear system to track a reference trajectory.
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Shan, W., Jin, D., Jin, W., Xu, Z. (2005). VLSI Implementation of a Self-tuning Fuzzy Controller Based on Variable Universe of Discourse. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_129
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DOI: https://doi.org/10.1007/11539506_129
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28312-6
Online ISBN: 978-3-540-31830-9
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