Development and Implementation of a Simplified Self-Tuned Neuro-Fuzzy-Based IM Drive

A novel simplified self-tuned neuro-fuzzy controller (NFC) for speed control of an induction motor (IM) drive is presented in this paper. The proposed NFC combines fuzzy logic and a four-layer neural network structure. Only speed error is employed as input to the NFC so that the computational burden...

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Veröffentlicht in:	IEEE transactions on industry applications 2014-01, Vol.50 (1), p.51-59
Hauptverfasser:	Uddin, M. Nasir, Zhi Rui Huang, Hossain, A. B. M. Siddique
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Back propagation (BP) Boards Computer simulation Digital signal processing digital signal processor (DSP) Fuzzy logic indirect field-oriented control (FOC) induction motor (IM) Induction motors Mathematical analysis Mathematical model Mathematical models Neural networks neuro-fuzzy control real-time implementation Real-time systems Rotors self-tuning Simplification Tuning
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