2022
DOI: 10.1016/j.fmre.2021.09.009
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Short-circuit fault-tolerant control for five-phase fault-tolerant permanent magnet motors with trapezoidal back-EMF

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Cited by 6 publications
(4 citation statements)
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“…However, the PI regulator is inappropriate for monitoring the alternating signals. So, deadbeat predictive current FOC is suggested to achieve fault-tolerant control when a singlephase short circuit fault exists [10] [24]. The FTC technique deals with SC fault in two aspects; first, it applies an opencircuit fault tolerant strategy.…”
Section: Fault-tolerant Field-oriented Control Modelmentioning
confidence: 99%
See 1 more Smart Citation
“…However, the PI regulator is inappropriate for monitoring the alternating signals. So, deadbeat predictive current FOC is suggested to achieve fault-tolerant control when a singlephase short circuit fault exists [10] [24]. The FTC technique deals with SC fault in two aspects; first, it applies an opencircuit fault tolerant strategy.…”
Section: Fault-tolerant Field-oriented Control Modelmentioning
confidence: 99%
“…To accurately track the reference currents, the deadbeat current predictive controller is more superior to the PI controller. The fault-tolerant reference voltages udr, uqr, and uzr may be expressed using the deadbeat current predictive controller as follows [24]:…”
Section: Figure 1 Graphic Diagram Of Single-phase Short-circuit Fault...mentioning
confidence: 99%
“…Another important topic is state estimation; research activities employ for instance interacting multiple model estimation algorithms [10]. Rule-based expert systems again receive attention such as in the fault diagnosis of mechanical systems [11]. Further research is involved with diagnostic row reasoning methods [12].…”
Section: State Of the Art In Fault-tolerant Controlmentioning
confidence: 99%
“…Sensorless speed estimate methods rely on the observation of specific motor parameters and the use of mathematical models to determine the rotor speed. Stator current, voltage, and back electromotive force (EMF) or flux are typical estimation parameters [ 9 , 10 ]. The first technique depends on machine model comprising the Model Reference Adaptive System (MRAS) [11] , [12] , [13] , [14] , Extended Kalman Filtering approaches (EKF) [15] , [16] , [17] , [18] , [19] , [20] , [21] , [22] , [23] , [24] , Speed Estimators (SE) [25] , [26] , [27] , [28] , Sliding Mode Observer (SMO) [ 26 , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] ], reduced order nonlinear observer [ 23 , [36] , [37] , [38] ], Artificial Intelligence methods (AI) [39] , [40] , [41] , [42] , [43] , Direct calculation and Adaptive observers [44] , [45] , [46] , [47] , [48] .…”
Section: Introductionmentioning
confidence: 99%