Abstract
In this paper, two intelligent direct torque control strategies are compared with the classical direct torque control (C-DTC) scheme, namely neural network control (NNC) and neuro-fuzzy control (NFC) are introduced to replace the hysteresis comparators and lookup table of the C-DTC for pulse width-modulation-inverter-fed induction motor drive, to solve the problems of torque ripple and inconstant switch frequency of inverter in the conventional direct torque control. These intelligent approaches are characterized by very fast torque and flux response, very-low-speed operation, the switching frequency of the inverter is constant and simple tuning capability. The proposed techniques are verified by simulation study of the whole drive system and results are compared with conventional direct torque control method.
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Douiri, M.R., Mabrouki, E.B., Belghazi, O., Ferfra, M., Cherkaoui, M. (2014). Intelligent Control of Induction Motor Based Comparative Study: Analysis of Two Topologies. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Nature-Inspired Computation and Machine Learning. MICAI 2014. Lecture Notes in Computer Science(), vol 8857. Springer, Cham. https://doi.org/10.1007/978-3-319-13650-9_10
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DOI: https://doi.org/10.1007/978-3-319-13650-9_10
Publisher Name: Springer, Cham
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