The paper describes an adaptive fuzzy logic controller structure and its implementation in the excitation control of a synchronous generator. The proposed controller applies on-line adaptation and learning in order to explicitly update its global input and output ranges as well as implicitly tune its rule base. The adaptation mechanism used in this scheme is based on a novel fuzzy realisation of the proportional differential controller tailored in a simple but efficient algorithm that manipulates the data collected from the operational environment into a set of updating and tuning signals to be fed back to the plant under control. This mechanism made the proposed controller very robust to operational condition changes.
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