TY - GEN
T1 - Current sensor fault-tolerant control scheme for induction machine in electric vehicle applications using RISE-algebraic estimation approach
AU - Rkhissi-Kammoun, Yosra
AU - Ghommam, Jawhar
AU - Boukhnifer, Moussa
AU - Mnif, Faisal
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/27
Y1 - 2018/4/27
N2 - This paper describes an active current sensor fault-tolerant control (FTC) scheme for an induction motor (IM) drives that propels an Electric Vehicle (EV). The proposed strategy includes two parts : one part for fault detection and isolation (FDI) against the line current sensor failures and the other for the FTC reconfiguration. A model based FDI method is developed consisting on a combination of the Robust Integral Sign of the Error (RISE) observer with the algebraic approach to estimate the current residuals dynamics in the stationary reference frame. After detecting the fault occurrence, a decision-making logic unit is then performed to identify the faulty sensors and simultaneously calculates the appropriate current signal that will be used by a Field-Oriented Control (FOC) based speed control scheme. The proposed sensor FTC strategy can be universally applied with any speed control schemes involving IM drives. Besides, the developed fault estimator is simple with a 1-D model, depending only on the input-output measurements and their derivatives and do not require a bank of observers. The robustness of the generated residuals to load torque disturbances and the ability of diagnosing the recovery of a sensor from a fault are also demonstrated. Simulation are carried out to show the effectiveness of the proposed FTC architecture.
AB - This paper describes an active current sensor fault-tolerant control (FTC) scheme for an induction motor (IM) drives that propels an Electric Vehicle (EV). The proposed strategy includes two parts : one part for fault detection and isolation (FDI) against the line current sensor failures and the other for the FTC reconfiguration. A model based FDI method is developed consisting on a combination of the Robust Integral Sign of the Error (RISE) observer with the algebraic approach to estimate the current residuals dynamics in the stationary reference frame. After detecting the fault occurrence, a decision-making logic unit is then performed to identify the faulty sensors and simultaneously calculates the appropriate current signal that will be used by a Field-Oriented Control (FOC) based speed control scheme. The proposed sensor FTC strategy can be universally applied with any speed control schemes involving IM drives. Besides, the developed fault estimator is simple with a 1-D model, depending only on the input-output measurements and their derivatives and do not require a bank of observers. The robustness of the generated residuals to load torque disturbances and the ability of diagnosing the recovery of a sensor from a fault are also demonstrated. Simulation are carried out to show the effectiveness of the proposed FTC architecture.
KW - Current sensor
KW - Differential-algebraic
KW - Electric vehicle
KW - Fault-tolerant control
KW - Induction-motor (IM) drives
KW - Sensor fault detection and isolation (FDI)
UR - http://www.scopus.com/inward/record.url?scp=85046968483&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046968483&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2018.8352204
DO - 10.1109/ICIT.2018.8352204
M3 - Conference contribution
AN - SCOPUS:85046968483
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 358
EP - 363
BT - Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 19th IEEE International Conference on Industrial Technology, ICIT 2018
Y2 - 19 February 2018 through 22 February 2018
ER -