2016
DOI: 10.1109/tie.2015.2418732
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Comparative Study of Predictive and Resonant Controllers in Fault-Tolerant Five-Phase Induction Motor Drives

Abstract: Abstract One of the most attractive features of multiphase machines is the fault-tolerant capability due to the higher number of phases. Different post-fault control strategies based on hysteresis, PI-resonant and predictive techniques have been recently proposed. They all proved their capabilities to withstand fault situations and to preserve the fundamental component of the air-gap field, while achieving minimum losses, maximum torque per-ampere and reducing torque vibrations. Nonetheless, due to their rece… Show more

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Cited by 195 publications
(176 citation statements)
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“…Fig. 2 shows the sequence in which (9), (10) and (11) The cost function (g c ) to be minimized to achieve predictive control is given in terms of reference and actual/predicted magnitudes of the state variables (λ and i sq ) given in (12).…”
Section: Model Predictive Control Formulationmentioning
confidence: 99%
See 3 more Smart Citations
“…Fig. 2 shows the sequence in which (9), (10) and (11) The cost function (g c ) to be minimized to achieve predictive control is given in terms of reference and actual/predicted magnitudes of the state variables (λ and i sq ) given in (12).…”
Section: Model Predictive Control Formulationmentioning
confidence: 99%
“…Although this control type's use has majorly focused on converter control, the trend of its application for variable speed drives control is also on the rise [8][9][10][11][12][13][14][15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…The fault management in a drive can be classified in three stages: fault detection FD [13][14][15][16][17], fault isolation FI [18][19] and implementation of a fault tolerant control (FTC) [20][21][22][23][24][25]. The implementation of these three stages in the system is necessary to ensure a suitable operation and to protect the system in post-fault situation.…”
Section: Introductionmentioning
confidence: 99%