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A modular control scheme for PMSM speed control with pulsating torque minimization
Jian-Xin Xu   Panda, S.K.   Ya-Jun Pan   Tong Heng Lee   Lam, B.H.  
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore;

This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: June 2004
Volume: 51,  Issue: 3
On page(s): 526- 536
ISSN: 0278-0046
INSPEC Accession Number: 8110745
Digital Object Identifier: 10.1109/TIE.2004.825365
Current Version Published: 2004-06-01

Abstract
In this paper, a modular control approach is applied to a permanent-magnet synchronous motor (PMSM) speed control. Based on the functioning of the individual module, the modular approach enables the powerfully intelligent and robust control modules to easily replace any existing module which does not perform well, meanwhile retaining other existing modules which are still effective. Property analysis is first conducted for the existing function modules in a conventional PMSM control system: proportional-integral (PI) speed control module, reference current-generating module, and PI current control module. Next, it is shown that the conventional PMSM controller is not able to reject the torque pulsation which is the main hurdle when PMSM is used as a high-performance servo. By virtue of the internal model, to ify the torque pulsation it is imperative to incorporate an internal model in the feed-through path. This is achieved by replacing the reference current-generating module with an iterative learning control (ILC) module. The ILC module records the cyclic torque and reference current signals over one entire cycle, and then uses those signals to update the reference current for the next cycle. As a consequence, the torque pulsation can be reduced significantly. In order to estimate the torque ripples which may exceed certain bandwidth of a torque transducer, a novel torque estimation module using a gain-shaped sliding-mode observer is further developed to facilitate the implementation of torque learning control. The proposed control system is evaluated through real-time implementation and experimental results validate the effectiveness.

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