Improvement in Fault Tolerant Capability of ST-DTC for Five-Phase Induction Motor using Neural Network

The performance of switching table-based Direct Torque Control (ST-DTC) depends on number and type of switching states. If there are greater number of switching states and are distributed uniformly in the space, then DTC can handle not only different types of loads but also it can be operated in smo...

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Veröffentlicht in:	Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Electrical Engineering, Electronics and telecommunication engineering, Computer engineering, 2022-08, Vol.103 (4), p.1207-1216
Hauptverfasser:	Mahanta, Umakanta, Panda, Anup Kumar, Panigrahi, Bibhu Prasad
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Communications Engineering Engineering Fault tolerance Induction motors Inverters Low speed Networks Neural networks Original Contribution Ripples Switching Torque
Online-Zugang:	Volltext
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