• DocumentCode
    3078373
  • Title

    Verilog-HDL based implementation of a fuzzy logic controller for embedded systems

  • Author

    Baldania, M.D. ; Patki, A.B. ; Sapkal, A.M.

  • Author_Institution
    Electron. & Telecommun. Dept., Coll. of Eng., Pune, India
  • fYear
    2013
  • fDate
    26-28 Dec. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Fuzzy logic has the advantage of modelling complex, non-linear problems linguistically rather than mathematically with satisfying increasing demand of higher performance and sophistication of embedded systems. This paper describes design of a fuzzy logic controller using Verilog-HDL language with different approaches showing which elements of language should be used for most optimized synthesis. Different algorithms for defuzzification process are also implemented and synthesized to check which method is most efficient and uses less hardware with higher computational speed. The development of a controller is carried out using ISE Design Suite 14.2 of Xilinx.
  • Keywords
    control system analysis computing; embedded systems; fuzzy control; hardware description languages; nonlinear control systems; ISE design suite 14.2; Verilog-HDL based implementation; Xilinx; computational speed; defuzzification process; embedded systems; fuzzy logic controller; nonlinear problems; optimized synthesis; Communications technology; Control systems; Embedded systems; Fuzzy logic; Hardware; Hardware design languages; Pragmatics; Defuzzification; Fuzzification; ISE Design Suite 14.2; Rule Evaluation; Verilog-HDL (Hardware Description Language);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on
  • Conference_Location
    Enathi
  • Print_ISBN
    978-1-4799-1594-1
  • Type

    conf

  • DOI
    10.1109/ICCIC.2013.6724193
  • Filename
    6724193