We propose a PI-type gain adaptive fuzzy logic controller (GAFLC). Input scaling factors (SFs) of the GA-FLC for error (e) and change of error (Δe) are updated on-line, by a single non-linear parameter computed through a unipolar sigmoid function defined on the current process states (e and Δe). The performance of the proposed GA-FLC for step set-point change and load disturbance is compared with those of a conventional PI-type FLC (FPIC) and a Ziegler-Nichols tuned (ZN-tuned) non-fuzzy PI-controller (NFPIC). Results for various higher order processes show that GA-FLC provides much improved performance over both FPIC and ZN-tuned NFPIC. © Springer-Verlag Berlin Heidelberg 2002.
CITATION STYLE
Mudi, R. K., Majumdar, K., & Dey, C. (2002). A gain adaptive fuzzy logic controller. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2275, 62–68. https://doi.org/10.1007/3-540-45631-7_9
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