NDLI: Minimization the torque ripple of flux-switching permanent magnet motor based on iterative learning control

Content Provider	IEEE Xplore Digital Library
Author	Yejun Gu Li Quan Zixuan Xiang
Copyright Year	2014
Description	Author affiliation: Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China (Yejun Gu; Li Quan; Zixuan Xiang)
Abstract	With the advent of flux-switching permanent magnet (FSPM) motors, researches on both design and control of such motors have made great achievements, which has proved that the type of motors have great application prospects. However, due to the high cogging torque caused by doubly-salient structure and the high air gap flux density, such motors are limited on the occasions of servo system or traction application. To solve the problem, a new method of cogging torque compensation for an external-rotor 12/22 pole FSPM motor is proposed in this paper. Considering the advantages of Iterative Learning Control (ILC) in motion control, it is introduced into the Direct Torque Control (DTC) system of FSPM motor in this paper, compensating for the given value of torque. The simulation results prove that this method is effective and does not influence the performance of dynamic performances.
Starting Page	1985
Ending Page	1989
File Size	443639
Page Count	5
File Format	PDF
ISBN	9781479951628
DOI	10.1109/ICEMS.2014.7013827
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Torque Permanent magnet motors Stators Forging Traction motors Couplings Reluctance motors direct torque control Flux-switching permanent magnet motor cogging torque iterative learning control
Content Type	Text
Resource Type	Article

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