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Current Sensor Fault Detection and Isolation combining Model-Based and Signal-Based Algorithms in PMSG Drives
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| Author(s) |
Yves MOLLET, Johan GYSELINCK, Fabien MEINGUET |
| Abstract |
This paper presents a new on-line open-phase and current-sensor fault detection and isolation methodfor permanent-magnet synchronous generator (PMSG) drives with neutral point voltage control. Simplesignal processing implementations for sensor outage and open-phase faults detection are combined witha cumulative-sum (CUSUM) algorithm capable of detecting smaller sensor output errors (offset or gainvariation). The algorithm uses output signals from eight current sensors (two on each phase and two onthe neutral wire). Experimental tests have been done on a 2kW-PMSG at different speeds and brakingtorques where different sensor-fault combinations have been tested with and without open-phase fault.Finally a test has been done while the shaft speed and the torque were varying in order to test the abilityof the algorithm to work in transient conditions. Results show that the algorithm allows 3-out-of-6redundancy in case of sensor outage and 5-out-of-6 redundancy in case of sensor offset or gain changewith globally limited computational cost. Combinations of two outages and one offset or gain error canbe isolated. In case of open-phase fault the algorithm can continue to detect sensor faults if at least onesensor is working on each remaining phase and on the neutral. A short fault detection time is obtainedin case of sensor outage with a transitional detection by the CUSUM algorithm followed by the finaldetection by the signal processing algorithm. |
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| Filename: | 0342-epe2013-full-16325528.pdf |
| Filesize: | 857.4 KB |
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| Type |
Members Only |
| Date |
Last modified 2014-02-09 by System |
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