• DocumentCode
    3530562
  • Title

    Fuzzy logic controller implementation on a FPGA using VHDL

  • Author

    Oliveira, Davi Nunes ; De Souza Braga, Arthur Plinio ; Almeida, Otacílio Da Mota

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Ceara, Fortaleza, Brazil
  • fYear
    2010
  • fDate
    12-14 July 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Fuzzy-logic-based control (FLC) systems have emerged as one of the most promising areas for research in Applied Computational Intelligence. These systems operate with knowledge represented in a linguistic form (IF-THEN rules) that describes relations which are not precisely known, but those effects are intuitively understood by humans. This fundamental feature makes FLC a powerful tool for industrial applications, since complex systems can be controlled by easily comprehensive rules. The growth in number of fuzzy logic applications led to the need of finding efficient and economic ways to implement them. The Field Programmable Gate Arrays (FPGAs) devices, with their reconfigurable logic, practicality, portability, low consumption of energy, high operation speedy and large data-storage capacity, are a great choice for FLC embedded systems project development and prototyping. In this paper, the design and implementation of a Mamdani-type Fuzzy controller is demonstrated using VHDL programming language.
  • Keywords
    control engineering computing; embedded systems; field programmable gate arrays; fuzzy control; hardware description languages; FLC embedded systems; FPGA; IF-THEN rules; Mamdani-type fuzzy controller; VHDL programming language; applied computational intelligence; data storage capacity; fuzzy logic controller; reconfigurable logic; Computational intelligence; Control systems; Electrical equipment industry; Field programmable gate arrays; Fuzzy logic; Humans; Industrial control; Industrial relations; Power generation economics; Programmable logic arrays; FPGA; Fuzzy Inference System; Fuzzy Logic Controller; Second-order Systems; VHDL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS), 2010 Annual Meeting of the North American
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-7859-0
  • Electronic_ISBN
    978-1-4244-7857-6
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2010.5548192
  • Filename
    5548192