Research of the Real-Time Motor Drive Fault Detection and Fault Tolerant Control Techniques for Multiple Traction Electric Vehicles
Date Issued
2015
Date
2015
Author(s)
Fan, Chun
Abstract
This thesis developed a real-time fault detection techniques for motor drive system of electric vehicles which enhanced the safety of the multiple traction electric vehicles. This research used dSPACE real-time control system simulator as a fault/failure mode analysis platform for motor drive system of electric vehicles. This platform is used to implement the quantitative and qualitative analysis for fault/failure mode of motor drive system and construct the failure mode and effect analysis (DFMEA) in order to execute the research of real-time fault detection and classification of motor drive system. This research proposed a real-time fault detection method based on the wavelet transform technique which combined with model predictive control theory, developing a fault tolerant control techniques for enhancing the safety and system reliability of propulsion system of multiple traction electric vehicles.
Subjects
motor drive system
failure mode
real-time fault detection
fault tolerant control
multiple traction vehicles
wavelet transform
model predictive control
Type
thesis
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