Current sensors fault detection and tolerant control strategy for three-phase induction motor drives

Abstract

In the case of failure of one or more components of a drive system, the emergency shutdown of the system is not always the best way to act. Therefore, simultaneous reconfiguration of the drive control strategy is mandatory to enable an uninterrupted operation to cater for the catastrophic failure. In this context, this paper presents a current sensors fault-tolerant control method for induction motor drives, based on vector control and currents estimation. Several important issues are considered in the proposed method, namely, the detection of sensors failure, isolation of the faulty sensors, and reconfiguration of the control system by proper currents estimation. A new adaptation of the Luenberger observer is proposed and used to perform the task of stator currents estimation. Furthermore, a developed logic circuit is used to detect the faulty current sensors and isolate them with simultaneous generation of logic impulses allowing switching to a proper estimation. The proposed faulttolerant control strategy is firstly tested in MATLAB/Simulink environment in order to illustrate its high-performance. Then, several experimental tests are carried out on a 1.1 kW three-phase induction motor to validate the theoretical results and to confirm the effectiveness of the proposed algorithm.

Fault Diagnosis and Fault-Tolerant Control of PMSM Drives–State of the Art and Future Challenges

“…The proposed method is based on a modification of the adaptive state observer to estimate line currents, however only simulation results are presented. The concept is similar to those applied in the case of CS faults in the IM drive [298], [299]. Also an EKF was proposed for CS fault detection in [300], however the authors pointed out its sensitivity to variation of motor parameters.…”

Self-Correcting Virtual Current Sensor Based on the Modified Luenberger Observer for Fault-Tolerant Induction Motor Drive

“…In the classical LO coefficient, k 0 is a positive constant and the difference between the estimated and measured currents in the (α-β) frame is used in the additional term with the G matrix (13). When some CS fault occurs, the estimated stator current can only be used in the LO mathematical model, as it was carried out in [17,18]. However, in these works, the value of the k 0 coefficient was taken close to one (i.e., in ( 19)-( 22), the value of (k 0 − 1) = 0.001), which, in fact, caused the LO to turn to the IM mathematical model itself (matrix G ≈ 0) and, thus, the stator current and rotor flux estimation was sensitive to the mismatch in motor parameters.…”

“…Other approaches found in the literature are based on the use of stator current estimators of the IM. These solutions have become very popular in recent years [8,[16][17][18][19]. In [8], the other CS fault compensator based on the flux-linkage observer was used; however, the authors paid attention to its significant sensitivity to IM parameters.…”

“…This method allowed one to significantly increase the quality of the stator current estimation. The Luenberger Observer (LO) can also be used to estimate the stator current, as shown in [17,18]. However, the authors used the characteristic parameter k 0 of the observer gain matrix close to 1, making elements of this matrix close to 0, which caused the feedback term of the observer to practically disappear.…”

Diagnosis of inter-turn short-circuit faults and power supply faults of a PMSM controlled by input-output linearization without speed sensor

“…Advancements in permanent magnet materials enable this. [1,4]. Electric motor faults or failures typically have major repercussions, such as prohibitive maintenance costs and prolonged downtime.…”