• DocumentCode
    1550926
  • Title

    Stator-Free RPM Sensor Using Accelerometers—A Statistical Performance Simulation by Monte Carlo Method

  • Author

    Cheng, Peng ; Yang, Yan ; Oelmann, Bengt

  • Author_Institution
    Dept. of Inf. Technol. & Media, Mid Sweden Univ., Sundsvall, Sweden
  • Volume
    11
  • Issue
    12
  • fYear
    2011
  • Firstpage
    3368
  • Lastpage
    3376
  • Abstract
    This paper presents an statistical performance simulation for rigid-body revolutions per minute (RPM) measurement based on two uni-axial accelerometers mounted on rotor. In comparison with other existing sensing methods that are based on two coupled parts, namely stator and rotor and which include conventional electro-magnetic RPM sensors and photo-electric RPM sensors, this new stator-free inertial sensing principle has the advantage of high bandwidth at low RPM, true contact-free sensing and flexible installation. The paper first focuses on the description of the operating principle and the common mode rejection (CMR) method of the stator-free RPM sensor, and then its error model is developed and the error sources are statistically simulated based on Monte Carlo method. The simulation result presents a most interesting property of this sensor, that is, it gives lower precision at lower RPM and higher precision at higher RPM. The conclusion summarizes the modeling analysis result and motivates potential application for this new RPM sensing method.
  • Keywords
    Monte Carlo methods; accelerometers; rotors; sensors; statistical analysis; CMR method; Monte Carlo method; accelerometers; common mode rejection method; contact-free sensing; conventional electromagnetic RPM sensors; flexible installation; photo-electric RPM sensors; rigid-body revolution per minute measurement; statistical performance simulation; stator-free RPM sensor; two uniaxial accelerometers; Accelerometers; Electromechanical sensors; Robot sensing systems; Rotors; Stators; Accelerometers; angular velocity; electromechanical sensors; mechanical variables measurement;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2011.2159108
  • Filename
    5871670