NDLI: Sensor Fault detection and fault tolerant control of induction motor drivers for electric vehicles

Content Provider	IEEE Xplore Digital Library
Author	Shicai Fan Jianxiao Zou
Copyright Year	2012
Description	Author affiliation: School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China (Shicai Fan; Jianxiao Zou)
Abstract	An effective fault detection and fault tolerant control strategy in induction motor is described in this paper. Based on the algorithm of posterior reliability voting, the proposed approach could detect the healthy state of encoder, and adjust the weights between the speed from encoder and estimated speed based on MRAS. When redundant current sensors are installed in the controller, a logic decision scheme could detect and shield the faulty one, and guarantee that the current signals involved in the control are from the two healthy current sensors. Abrupt faults of both encoder and speed sensor are simulated in the induction motor driver individually, and simulation results in terms of speed response indicate the effectiveness of the proposed strategy subject to faulty conditions caused by encoder or current sensor.
Starting Page	1306
Ending Page	1309
File Size	625572
Page Count	4
File Format	PDF
ISBN	9781457720857
DOI	10.1109/IPEMC.2012.6259046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Induction motors Fault tolerance Fault tolerant systems Machine vector control Mathematical model Adaptation models posterior reliablity induction motor driver sensor toleranct control vector control MRAS
Content Type	Text
Resource Type	Article

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