Abstract | ||
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In this paper, the concept and implementation of a new simple direct-torque neuro-fuzzy control (DTNFC) scheme for pulsewidth-modulation-inverter-fed induction motor drive are presented. An adaptive neuro-fuzzy inference system is applied to achieve high-performance decoupled flux and torque control. The theoretical principle and tuning procedure of this method are discussed. A 3 kW induction motor experimental system with digital signal processor TMS 320C31-based controller has been built to verify this approach. The simulation and laboratory experimental results, which illustrate the performance of the proposed scheme, are presented. Also, nomograms for controller design are given. It has been shown that the simple DTNFC is characterized by very fast torque and flux response, very-low-speed operation, and simple tuning capability. |
Year | DOI | Venue |
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2000 | 10.1109/41.857966 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Pulse width modulation,Induction motor drives,Adaptive systems,Programmable control,Adaptive control,Torque control,Induction motors,Digital signal processors,Process control,Control systems | Vector control,Control theory,Induction motor,Torque,Control theory,Direct torque control,Control engineering,Fuzzy control system,Adaptive control,Engineering,Adaptive neuro fuzzy inference system | Journal |
Volume | Issue | ISSN |
47 | 4 | 0278-0046 |
Citations | PageRank | References |
25 | 7.58 | 4 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
P. Z. Grabowski | 1 | 25 | 7.58 |
M. P. Kazmierkowski | 2 | 378 | 82.05 |
B. K. Bose | 3 | 52 | 19.82 |
Frede Blaabjerg | 4 | 1195 | 248.32 |