DocumentCode :
2456403
Title :
Fault detection and fault tolerant control of interior permanent magnet motor drive system for electric vehicle
Author :
Jeong, Yu-Seok ; Sul, Seung-Ki ; Schulz, Steven ; Patel, Nitin
Author_Institution :
Electr. Eng. & Comput. Sci., Seoul Nat. Univ., South Korea
Volume :
3
fYear :
2003
fDate :
12-16 Oct. 2003
Firstpage :
1458
Abstract :
This paper presents a control strategy that provides fault tolerance to the major sensor faults which may occur in an interior permanent magnet motor (IPMM) based electric vehicle propulsion drive system. Failures of a position sensor, a DC link sensor and current sensors are all included in the study. For each possible sensor fault, a corresponding method of detection or diagnosis is provided. Additionally, once the fault is detected, the control scheme is automatically reconfigured to provide postfault operational capability. A state observer is used to provide missing current information in the case of current sensor faults. Experimental results demonstrate the effectiveness of both the fault detection algorithm and the reconfigurable control scheme. The resulting IPMM drive system proves to be resilient to sensor failures while providing graceful transition to the post-fault operational mode.
Keywords :
AC motor drives; electric current measurement; electric propulsion; electric sensing devices; electric vehicles; failure analysis; fault location; fault tolerance; machine control; motor drives; observers; permanent magnet motors; DC link sensor; control scheme reconfiguration; current sensors; electric vehicle; electric vehicle propulsion drive system; fault detection; fault tolerant control; interior permanent magnet motor drive; position sensor failure; post-fault operational mode; postfault operational capability; reconfigurable control scheme; sensor fault; state observer; Automatic control; Control systems; Electric vehicles; Electrical fault detection; Fault diagnosis; Fault tolerant systems; Magnetic sensors; Permanent magnet motors; Propulsion; Sensor systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2003. 38th IAS Annual Meeting. Conference Record of the
Print_ISBN :
0-7803-7883-0
Type :
conf
DOI :
10.1109/IAS.2003.1257749
Filename :
1257749
Link To Document :
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