TY - JOUR
T1 - Sensor fault detection, isolation and system reconfiguration based on extended Kalman filter for induction motor drives
AU - Zhang, Xinan
AU - Foo, Gilbert
AU - Vilathgamuwa, Mahinda Don
AU - Tseng, King Jet
AU - Bhangu, Bikramjit Singh
AU - Gajanayake, Chandana
PY - 2013/9/9
Y1 - 2013/9/9
N2 - Induction motors (IMs) have been extensively used in industrial applications because of their inexpensiveness, ruggedness and reliability. Generally, to improve the performance of IM drives, one position sensor, one DC-link voltage sensor and at least two AC current sensors are necessary. However, failure of any of these sensors can cause degraded system performance or even instability. Consequently, it is very important to develop a sensor fault resilient control system for IMs drives so that continuous and normal operation is maintained even in cases of sensor faults. This study proposes a compact and robust sensor fault detection, isolation and system reconfiguration algorithm based on extended Kalman filter and reduced number of adaptive observers. A comprehensive set of experimental results are provided to verify the effectiveness of the proposed algorithm.
AB - Induction motors (IMs) have been extensively used in industrial applications because of their inexpensiveness, ruggedness and reliability. Generally, to improve the performance of IM drives, one position sensor, one DC-link voltage sensor and at least two AC current sensors are necessary. However, failure of any of these sensors can cause degraded system performance or even instability. Consequently, it is very important to develop a sensor fault resilient control system for IMs drives so that continuous and normal operation is maintained even in cases of sensor faults. This study proposes a compact and robust sensor fault detection, isolation and system reconfiguration algorithm based on extended Kalman filter and reduced number of adaptive observers. A comprehensive set of experimental results are provided to verify the effectiveness of the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84883367876&partnerID=8YFLogxK
U2 - 10.1049/iet-epa.2012.0308
DO - 10.1049/iet-epa.2012.0308
M3 - Article
AN - SCOPUS:84883367876
SN - 1751-8660
VL - 7
SP - 607
EP - 617
JO - IET Electric Power Applications
JF - IET Electric Power Applications
IS - 7
ER -