期刊
APPLIED SOFT COMPUTING
卷 13, 期 1, 页码 496-508出版社
ELSEVIER
DOI: 10.1016/j.asoc.2012.08.032
关键词
GA; PSO; AT2-FIS; AT2-FLC; FPGA; VHDL; XSG
This paper proposes the optimization of the type-2 membership functions for the average approximation of an interval of type-2 fuzzy controller (AT2-FLC) using PSO, where the optimization only considers certain points of the membership functions and, the fuzzy rules are not modified so that the algorithm minimizes the runtime. The AT2-FLC regulates the speed of a DC motor and is coded in VHDL for a FPGA Xilinx Spartan 3A. We compared the results of the optimization using PSO method with a genetic algorithm optimization of an AT2-FLC under uncertainty and the results are discussed. The main contribution of the paper is the design, simulation and implementation of PSO optimization of interval tye-2 fuzzy controllers for FPGA applications. (C) 2012 Elsevier B. V. All rights reserved.
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