• DocumentCode
    654234
  • Title

    Current slope calculation in FPGA for sensorless control technique and associated slope based predictive precise current control

  • Author

    Jinou Wang ; Binder, Andreas

  • Author_Institution
    Inst. of Electr. Energy Conversion, Tech. Univ. Darmstadt, Darmstadt, Germany
  • fYear
    2013
  • fDate
    17-19 Oct. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper introduces a new approach to measure the current slope only with normal current sensors. The current slope, which is caused by voltage switching of PWM amplifiers, can be used for a sensorless control technique for magnetic bearings or electrical drives. Further, with the information of the slope, we can realize a predictive precise current control. By combining the current sensor, analogue-to-digital converter and FPGA, using the proposed multiple current sampling technique, the current slope will be calculated in hardware with the method of least squares. This sub-system acts like a virtual sensor, which delivers both current and its slope values at the given sample point.
  • Keywords
    electric current control; electric drives; field programmable gate arrays; predictive control; sensorless machine control; FPGA; PWM amplifiers; analogue-to-digital converter; current sensors; current slope calculation; electrical drives; least square method; magnetic bearings; sensorless control technique; slope based predictive precise current control; virtual sensor; voltage switching; Coils; Current control; Current measurement; Field programmable gate arrays; Magnetic levitation; Pulse width modulation; Sensors; Current control; Field Programmable Gate Arrays (FPGA); current measurement; estimation technique; predictive control; sensorless control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics (SLED/PRECEDE), 2013 IEEE International Symposium on
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4799-0680-2
  • Type

    conf

  • DOI
    10.1109/SLED-PRECEDE.2013.6684508
  • Filename
    6684508