DocumentCode :
3212405
Title :
Modeling and Minimization of Speed Ripple of a Faulty Induction Motor with Broken Rotor Bars
Author :
Uddin, M. Nasir ; Wang, W. ; Huang, Z.R.
Author_Institution :
Dept. of Electr. Eng., Lakehead Univ., Thunder Bay, ON
fYear :
2008
fDate :
5-9 Oct. 2008
Firstpage :
1
Lastpage :
8
Abstract :
This paper presents the modeling and minimization technique for speed ripple of a vector controlled faulty induction motor (FIM) with broken rotor bars. First, the performance of the FIM is investigated in terms of speed ripple under the open-loop condition. Then, a new mechanical model of induction motor is developed incorporating the speed ripple. Based on this model a new NFC is proposed to tolerant the effect of the fault under an indirect field oriented control scheme. The proposed NFC compensates the faulty condition by minimizing the supply frequency related speed ripples instead of directly working on the low frequency signature speed ripples which a FIM exhibits. Based on the knowledge of motor control and intelligent algorithms an unsupervised self-tuning method is developed to adjust weights of the proposed NFC. The convergence of the weights is also discussed and investigated in simulation. The complete drive is experimentally implemented using a digital signal processor board DS-1104 for a laboratory 250 W faulty IM. The effectiveness of the proposed NFC is tested both in simulation and experiment.
Keywords :
adaptive control; fault diagnosis; induction motor drives; machine vector control; rotors; self-adjusting systems; DS-1104 digital signal processor board; broken rotor bars; field oriented control scheme; intelligent algorithms; minimization technique; open-loop condition; unsupervised self-tuning method; vector controlled faulty induction motor; Bars; Convergence; Digital signal processors; Frequency; Induction motors; Intelligent control; Motor drives; Open loop systems; Rotors; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Society Annual Meeting, 2008. IAS '08. IEEE
Conference_Location :
Edmonton, Alta.
ISSN :
0197-2618
Print_ISBN :
978-1-4244-2278-4
Electronic_ISBN :
0197-2618
Type :
conf
DOI :
10.1109/08IAS.2008.178
Filename :
4658966
Link To Document :
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