• DocumentCode
    3513594
  • Title

    FPGA-based direct resistance and capacitance measurements

  • Author

    Ares, Luis ; Rodríguez-Andina, Juan J. ; Farina, José

  • Author_Institution
    Dept. of Electron. Technol., Univ. of Vigo, Vigo, Spain
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    2837
  • Lastpage
    2841
  • Abstract
    This paper presents a system that allows the measurement of some electrical parameters (namely resistance and capacitance) to be carried out through the direct connection of the target component to an FPGA, without the need for an analog-to-digital converter or excitation circuits. The system is based on a measurement method previously described in the literature, in which sensors are directly connected to microcontrollers. The increasing number of application domains of FPGAs makes it interesting to develop new functional blocks for these devices. In addition, advantage can be taken from the features of currently available FPGAs to deal with some practical limitations of the microcontroller-based solution, for instance by adaptively defining the measurement range. Experimental results are presented to demonstrate the capabilities of the proposed system.
  • Keywords
    capacitance measurement; computerised instrumentation; digital control; electric resistance measurement; field programmable gate arrays; microcontrollers; FPGA; analog-to-digital converter; capacitance measurement; digital controller; electrical parameters; excitation circuits; field programmable gate array; microcontroller; resistance measurement; sensors; Analog-digital conversion; Capacitance measurement; Circuits; Electric resistance; Electric variables measurement; Electrical resistance measurement; Field programmable gate arrays; Microcontrollers; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
  • Conference_Location
    Porto
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-4648-3
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2009.5415404
  • Filename
    5415404