Genetically generated double-level fuzzy controller with a fuzzy adjustment strategy

Authors:
Sofiane Achiche;Wei Wang;Zhun Fan;Ali Ozkil;Torben Sorensen;Jiachuan Wang;Erik Goodman
Affiliations:
Technical University of Denmark, Lyngby, Denmark;Technical University of Denmark, Lyngby, Denmark;Technical University of Denmark, Lyngby, Denmark;Technical University of Denmark, Lyngby, Denmark;Technical University of Denmark, Lyngby, Denmark;United Technologies Research Center, East Hartford, CT;Michigan State University, East Lansing, MI
Venue:
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Year:
2007

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Abstract

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.