Mitigation of acoustic noise and vibration in switched reluctance motor drive using neural network based current profiling Conference Paper uri icon

abstract

  • In order to optimize the performance of Switched Reluctance Motor (SRM) drive, geometrical design of the motor as well as control strategies for its converter should be adjusted. High levels of torque ripple and acoustic noise are main drawbacks of SRM drives in many applications. This paper mainly focuses on control strategies to be used for minimizing the acoustic noise and vibration in SRM drive. Further, the major sources of acoustic noise and vibration have been addressed. In addition, the significance of various control variables (control angles and current profile) has been studied in detail. Furthermore, based on this analysis, a current shape optimization method has been introduced. Extensive simulations are given to support the proposed control strategies. Moreover, the impact of noise reduction algorithm on efficiency of the drive has been explored. In addition, artificial neural networks have been employed to generate optimized current profiles at various operating points. Finally, experimental results for an 8/6, 0.3 kW SRM drive are given.

name of conference

  • Conference Record of 1998 IEEE Industry Applications Conference. Thirty-Third IAS Annual Meeting (Cat. No.98CH36242)

published proceedings

  • CONFERENCE RECORD OF THE 1998 IEEE INDUSTRY APPLICATIONS CONFERENCE, VOLS 1-3

author list (cited authors)

  • Fahimi, B., Suresh, G., Rahman, K. M., & Ehsani, M.

citation count

  • 43

complete list of authors

  • Fahimi, B||Suresh, G||Rahman, KM||Ehsani, M

publication date

  • January 1998