Volume 7, Issue 4 (Journal of Control, V.7, N.4 Winter 2014)                   JoC 2014, 7(4): 9-18 | Back to browse issues page

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Maroufian S S, Abbaszadeh K. Modeling and Fault Detection of an Axial Flux Permanent Magnet Motor Using Magnetic Equivalent Circuit and ARX Model. JoC. 2014; 7 (4) :9-18
URL: http://joc.kntu.ac.ir/article-1-201-en.html
Abstract:   (4127 Views)
Investigations on modeling methods and fault detection for electrical machines have lead to different paths. The speed of the method combined with the accuracy achieved, are the goals which are being followed. Magnetic Equivalent Circuit Modeling of the Electrical Machines is one of the proposed methods and has been used for modeling of an Axial Flux Permanent Magnet Motor in this paper. The motor structure and feature are introduced. Further analysis includes determination of the Back-EMF Voltage using Magnetic Circuit Model. Detection of magnets demagnetization is established by Fourier analysis of the Back-EMF voltage. An ARX model is then fitted into the extracted input-output frequency data. Two approaches have been followed to detect PM defections. The first model will predict the generated flux of the defected PM with according to the Back-EMF voltage while the second will detect the percentage of the defection with the help of Back-EMF Fourier analysis
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Type of Article: Research paper | Subject: Special
Received: 2015/02/13 | Accepted: 2015/02/13 | Published: 2015/02/13

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