• DocumentCode
    482526
  • Title

    A hybrid approach of sensorless rotor position self-sensing for brushless Dc motor

  • Author

    Wenqi, Lu ; Yuwen, Hu ; Wenxin, Huang ; Jianbo, Chu ; Jianfei, Yang

  • Author_Institution
    Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    1334
  • Lastpage
    1337
  • Abstract
    Based on the detailed discussion of the basic principles and merits for stator core saturation method and sliding mode observer (SMO) method, a hybrid rotor position self-sensing approach is investigated by combining the two methods. To detect the initial rotor position, a method based on the magnetic saturation characteristic of the stator core is presented. To detect the rotor position at low speed and high speed, a new SMO is designed. To increase the precision of the rotor position estimation at low speed and the stability of the system at high speed, the estimated back electromotive force (back-EMF) is feedback to current observer. To solve the chattering problem in traditional SMO, the sign function is replaced by a saturation function. The application of this scheme to an surface brushless dc motor (BLDC) with sinusoidal-wave back-EMF is carried out successfully. The experimental results show that the proposed sensorless control algorithm is valid and suitable for the sensorless control in full-speed range (zero speed to base speed).
  • Keywords
    brushless DC motors; electric potential; machine control; observers; rotors; variable structure systems; velocity control; back electromotive force; magnetic saturation; rotor position estimation; sensorless rotor position self-sensing; sliding mode observer method; stator core saturation method; surface brushless DC motor; Brushless DC motors; Costs; DC motors; Mechanical sensors; Permanent magnet motors; Rotors; Saturation magnetization; Stator cores; Stator windings; Textile industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4770930