Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/71425
Title: Periodic Torque Ripples Minimization in PMSM using Learning Variable Structure Control based on a Torque Observer
Authors: Qian, W.
Xu, J.X. 
Panda, S.K. 
Issue Date: 2003
Source: Qian, W.,Xu, J.X.,Panda, S.K. (2003). Periodic Torque Ripples Minimization in PMSM using Learning Variable Structure Control based on a Torque Observer. IECON Proceedings (Industrial Electronics Conference) 3 : 2983-2988. ScholarBank@NUS Repository.
Abstract: PM synchronous motor drives are widely used for high-performance industrial servo applications where torque smoothness is an essential requirement. However, parasitic torque pulsations do exist in PMSM drive due to non-perfect sinusoidal flux distribution, cogging torque and current measurement errors. A consequence of these torque ripples is speed oscillation that deteriorates the drive performance particularly at low speeds. In this paper, we propose a simple plug-in Learning Variable Structure Control (LVSC) scheme for generating a compensation reference current to improve the steady-state torque and hence the speed responses. A torque observer is designed to estimate the instantaneous motor torque, which can be used as the feedback of the proposed LVSC scheme. Extensive experimental investigations have been carried out in order to evaluate the performance of the scheme. Test results obtained demonstrate the effectiveness of the proposed control scheme in reducing torque ripples significantly.
Source Title: IECON Proceedings (Industrial Electronics Conference)
URI: http://scholarbank.nus.edu.sg/handle/10635/71425
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

18
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.