• DocumentCode
    1843415
  • Title

    A fuzzy logic controller for maximum power point tracking with 8-bit microcontroller

  • Author

    Yang, Yueh-Ru

  • Author_Institution
    Grad. Inst. of Mechatron. Eng., Ming Chi Univ. of Technol., Taipei, Taiwan
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    2895
  • Lastpage
    2900
  • Abstract
    This paper presents the implementation of maximum power point tracking (MPPT) with fuzzy logic controller. For cost consideration, an inexpensive 8-bit microcontroller, PIC16F877A, is selected and programmed with C language and integer variables. For evaluation, the implemented fuzzy logic controller (FLC) is compared with the MPPT controller of using perturbation and observation (P&O). Both types of MPPT controllers are tested on the same voltage source with a series-connected resistor. Experimental results show that the implemented FLC with appropriate design meets the control requirements of MPPT. The FLC based on linguistic fuzzy rules has more flexibility and intelligence than conventional P&O controller, but the FLC spends more RAM and ROM spaces than the P&O tracker does.
  • Keywords
    C language; fuzzy control; fuzzy logic; microcontrollers; power engineering computing; solar cells; solar power; C language; PIC16F877A; fuzzy logic controller; integer variables; linguistic fuzzy rules; maximum power point tracking controller; microcontroller; observation; perturbation; series-connected resistor; solar panel; word length 8 bit; Algorithm design and analysis; Fuzzy logic; Microcontrollers; Power generation; Pulse width modulation; Real time systems; Table lookup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675084
  • Filename
    5675084