• DocumentCode
    1563214
  • Title

    Sensorless Vector Controlled Drive For Reciprocating Compressor

  • Author

    Dianov, Anton ; Choi, Jae-Young ; Lee, Kwang-Woon ; Lee, Joon-Hwan

  • Author_Institution
    Samsung Electron., Suwon-City
  • fYear
    2007
  • Firstpage
    580
  • Lastpage
    586
  • Abstract
    This paper presents a new algorithm for position sensorless vector control of the permanent magnets synchronous motors (PMSM), which is based on the well-known approach, when rotor position and speed information is obtained by using current error between actual and estimated currents. Estimated current is calculated using motor model, which is written in the synchronous reference frame dq. The current difference is decomposed into two components. One of them is used for motor back-emf and speed estimation and another one is used as a correction term. Rotor position is calculated as an integral of the estimated speed. Utilization of two current error components allows to build reliable system with low estimation error, where one current error component is used for estimation in static modes and another one in dynamic mode. Robustness of the proposed algorithm and its sensitivity to the motor parameters variations are also described. This paper pays attention to the drive starting procedure in the sensorless mode as well.
  • Keywords
    angular velocity control; electric potential; machine vector control; permanent magnet motors; rotors; synchronous motor drives; PMSM; motor back-emf; permanent magnets synchronous motors; position sensorless vector control; reciprocating compressor; rotor position; sensorless vector controlled drive; speed estimation; synchronous reference frame; Current measurement; Estimation error; Home appliances; Magnetic materials; Permanent magnet motors; Phase measurement; Rotors; Sensorless control; Synchronous motors; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialists Conference, 2007. PESC 2007. IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0275-9306
  • Print_ISBN
    978-1-4244-0654-8
  • Electronic_ISBN
    0275-9306
  • Type

    conf

  • DOI
    10.1109/PESC.2007.4342052
  • Filename
    4342052