Genetically Generated Double-Level Fuzzy Controller with a Fuzzy Adjustment Strategy

Sofiane Achiche, Wei Wang, Zhun Fan, Ali Gürcan Özkil, Torben Sørensen, Jiachuan Wang, Erik Goodman

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    This paper describes the use of a genetic algorithm (GA) in tuning a double-level modular fuzzy logic controller (DLMFLC), which can expand its control working zone to a larger spectrum than a single-level FLC. The first-level FLCs are tuned by a GA so that the input parameters of their membership functions and fuzzy rules are optimized according to their individual working zones. The second-level FLC is then used to adjust contributions of the first-level FLCs to the final output signal of the whole controller, i.e., DLMFLC, so that it can function in a wider spectrum covering all individual working zones of the first-level FLCs. The second-level FLC is again optimized by a GA. An inverted pendulum system (IPS) is used to demonstrate the feasibility of the approach.
    Original languageEnglish
    Title of host publicationGenetic and Evolutionary Computation Conference 2007
    Number of pages8
    Publication date2007
    Publication statusPublished - 2007
    Event2007 Genetic and Evolutionary Computation Conference - London, United Kingdom
    Duration: 7 Jul 200711 Jul 2007


    Conference2007 Genetic and Evolutionary Computation Conference
    Country/TerritoryUnited Kingdom
    Internet address


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