NDLI: Real-time open-switch fault diagnosis in automotive permanent magnet synchronous motor drives based on Kalman filter

Content Provider	IET Digital Library
Author	Naseri, Farshid Schaltz, Erik Lu, Kaiyuan Farjah, Ebrahim
Abstract	This study proposes an effective diagnosis method for single and multiple open-switch faults (OSFs) in three-phase permanent magnet synchronous motor (PMSM) drives. The proposed method is based on the real-time estimation of the three-phase motor currents using three Kalman filters (KFs). Three residual signals are defined as the differences between the three-phase measured and estimated stator currents. The averaged normalised residual signals are used as diagnostic criteria for the detection of OSFs. The proposed method accurately detects the OSFs, localises the faulty switches and effectively discriminates between the OSFs and current sensor faults. The main superiorities of the proposed KF-based method are its fast detection time and high robustness to measurement noises/errors and load variations. Moreover, the proposed method is useful for both closed-loop and open-loop PMSM drives. The proposed method can be embedded as a subroutine in the drive control unit without any hardware extension. The effectiveness of the proposed method is confirmed through extensive simulations and several hardware-in-the-loop experiments on a testbed with a 1.5 kW PMSM and dSPACE1104 control board. In addition, the real-time feasibility of the proposed method using low-cost microprocessor technology is guaranteed by testing it on TMS320F28335 from Texas Instruments©.
Starting Page	2450
Ending Page	2460
Page Count	11
ISSN	17554535
Volume Number	13
e-ISSN	17554543
Issue Number	Issue 12, Sep (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-pel/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-pel.2019.1498
Journal	IET Power Electronics
Publisher Date	2020-05-13
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automotive Permanent Magnet Synchronous Motor Drive Closed Loop System Control Engineering Computing Control of Electric Power System Current Sensor Fault Drive Drive Control Unit Effective Fault Diagnosis Method Estimated Stator Current Fast Detection Time Fault Diagnosis Faulty Switches Hardware-in-the-loop Experiments Interpolation And Function Approximation Kalman Filter KF-based Method Load Variation Machine Control Multiple Open-switch Fault Normalised Residual Signal Numerical Analysis Open-loop PMSM Drive Open-switch Fault Diagnosis OSFs Permanent Magnet Motors Power 1.5 KW Real-time Estimation Real-time Feasibility Single Switch Fault Statistics Stators Synchronous Machine Synchronous Motor Drive Synchronous Motors Three-phase Motor Current Three-phase Permanent Magnet Synchronous Motor Drive
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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