Please use this identifier to cite or link to this item:
|Title:||Determination of current waveforms for torque ripple minimisation in switched reluctance motors using iterative learning: an investigation|
|Citation:||Sahoo, N.C., Xu, J.X., Panda, S.K. (1999). Determination of current waveforms for torque ripple minimisation in switched reluctance motors using iterative learning: an investigation. IEE Proceedings: Electric Power Applications 146 (4) : 369-377. ScholarBank@NUS Repository. https://doi.org/10.1049/ip-epa:19990384|
|Abstract:||The paper deals with the investigations on an iterative learning approach to determine the desired current waveforms for switched reluctance motors, which give rise to ripple-free torque. The current waveforms are generated by repeated corrections from iteration to iteration starting from the conventional rectangular pulse profile as the initial waveform. The scheme requires much less a priori knowledge of the magnetic characteristics of the motor. The algorithms have been formulated for both one-phase-on and two-phase-on schemes, for a four-phase switched reluctance motor, in the light of the principles behind iterative learning. Based on the observations from the simulation results of these schemes, a modified scheme has been proposed by incorporating a suitable commutation process, often called torque sharing functions, in order to generate reasonably smooth current waveforms for the ease of tracking by the stator circuit of the motor. The performance of all the proposed schemes have been verified by computer simulation.|
|Source Title:||IEE Proceedings: Electric Power Applications|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 12, 2018
WEB OF SCIENCETM
checked on Oct 3, 2018
checked on Sep 29, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.