NDLI: Model-based fault detection and isolation algorithm of current sensor for IPMSM

Content Provider	IEEE Xplore Digital Library
Author	Byunghwan Lee Namju Jeon Hyeongcheol Lee
Copyright Year	2012
Description	Author affiliation: Hanyang University, Korea (Byunghwan Lee; Namju Jeon; Hyeongcheol Lee)
Abstract	The purpose of this paper is to detect and isolate faults of current sensors for the interior permanent magnet synchronous motor(IPMSM) through the model-based approach. The model-based fault detection and isolation(FDI) is conducted by the parity space approach. This method detects faults from the analytical redundancy generated from the mathematical system model. Based on the mathematical model and the input and output signals, the residual is generated. Once the residual is generated and evaluated, it should be then compared with the limit value which is called the time varying adaptive thresholds. The FDI algorithm for the IPMSM is proposed. Before verifying FDI algorithm, the types of current sensor faults are introduced. For getting the simulation results of the proposed FDI algorithm, the IPMSM model is developed by using MATLAB/Simulink environment. Simulation results show the validity and performance of the proposed algorithm.
Starting Page	5376
Ending Page	5381
File Size	2287940
Page Count	6
File Format	PDF
ISBN	9781467324199
ISSN	1553572X
e-ISBN	9781467324212
e-ISBN	9781467324205
DOI	10.1109/IECON.2012.6389529
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Computational modeling Noise Algorithm design and analysis
Content Type	Text
Resource Type	Article

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