A Novel Inverter Topology for Low Power Drives

  • G. Nageswara Rao
  • K. Chandra Sekhar
  • P. Sangameswara Raju
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 150)

Abstract

This paper presents a novel topology to a low cost converter which drives a spindle motor at high speed with high starting torque utilizing the bipolar starting and unipolar running algorithm. This topology is simple and developed with only eight switches in the converter to drive the spindle motor at high speed with high starting torque. The proposed scheme has been simulated on MATLAB/SIMULINK platform, the results are presented and discussed.

Keywords

Bipolar starting and unipolar running drive HDD spindle motor Unipolar drive 

References

  1. 1.
    Civilian R, Stupak D (1995) Disk drive employing multi mode spindle drive system. US Patent 5471353, 3 Oct 1995Google Scholar
  2. 2.
    Jang GH, Kim MG (2005) A bipolar-starting and unipolar-running method to drive an HDD spindle motor at high speed with large starting torque. IEEE Trans Magn 41(2):750–755CrossRefGoogle Scholar
  3. 3.
    Grochowski E, Hyot RF (1996) Future trends in hard disk drives. IEEE Trans Magn 32(3):1850–1854Google Scholar
  4. 4.
    Ede JD Zhu ZQ, Howe D (2001) Optimal split ratio control for high speed permanent magnet brushless DC motors. IN: Proceedings of the .5th international conference on electrical machines and systems, vol 2. pp 909–912Google Scholar
  5. 5.
    Chen SX, Jabbar MA Zhang OD, Lie ZJ (1996) New challenge: electromagnetic design of BLDC motors for high speed fluid film bearing spindles used in hard disk drives. IEEE Trans Magn 32(5):3854–3856Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • G. Nageswara Rao
    • 1
  • K. Chandra Sekhar
    • 2
  • P. Sangameswara Raju
    • 3
  1. 1.Vijaya Institute of Technology For WomenVijayawadaIndia
  2. 2.RVR & JC College of EngineeringGunturIndia
  3. 3.S.V.UniversityTirupathiIndia

Personalised recommendations