Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/81788
Title: Torque ripple minimization in PM synchronous motor using iterative learning control
Authors: Lam, B.H.
Panda, S.K. 
Xu, J.-X. 
Lim, K.W. 
Issue Date: 1999
Source: Lam, B.H.,Panda, S.K.,Xu, J.-X.,Lim, K.W. (1999). Torque ripple minimization in PM synchronous motor using iterative learning control. IECON Proceedings (Industrial Electronics Conference) 3 : 1458-1463. ScholarBank@NUS Repository.
Abstract: Permanent magnet synchronous motor (PMSM) drives are increasingly used in high-performance motion control applications where smooth torque is an essential requirement. However, presence of the air gap flux harmonics gives rise to undesirable torque pulsations. These torque pulsations result in performance deterioration in high-performance drive applications. In this paper, we present a systematic way to design and implement a new instantaneous torque controller using discrete iterative learning control (ILC) scheme with the objective of achieving torque ripple minimization. In the proposed scheme, the ILC-based dynamic torque controller compares the desired and the instantaneous motor torques and generates the reference q-axis current (itqs_ref) that is required to produce ripple-free torque. The instantaneous motor torque is estimated by using an estimator based on MRAS technique. The proposed ILC torque controller is simple to implement from computational point of view. The effectiveness of the proposed torque controller is demonstrated through computer simulation studies and results obtained verify the effectiveness of the proposed scheme.
Source Title: IECON Proceedings (Industrial Electronics Conference)
URI: http://scholarbank.nus.edu.sg/handle/10635/81788
Appears in Collections:Staff Publications

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

Page view(s)

13
checked on Feb 23, 2018

Google ScholarTM

Check


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