A simple direct-torque neuro-fuzzy control of PWM-inverter-fed induction motor drive

P.Z. Grabowski , Marian Kaźmierkowski , B.K. Bose , F. Blaabjerg


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
Author P.Z. Grabowski
P.Z. Grabowski,,
, Marian Kaźmierkowski (FoEE / ICIE)
Marian Kaźmierkowski,,
- The Institute of Control and Industrial Electronics
, B.K. Bose
B.K. Bose,,
, F. Blaabjerg
F. Blaabjerg,,
Journal seriesIEEE Transactions on Industrial Electronics, ISSN 0278-0046
Issue year2000
Keywords in English3 kW, adaptive neuro-fuzzy inference system, control design, control performance, control simulation, control system analysis, control system synthesis, DC-AC power convertors, decoupled flux/torque control, direct-torque neuro-fuzzy control, flux response, fuzzy control, fuzzy neural nets, induction motor drives, inference mechanisms, machine control, machine testing, machine theory, neurocontrollers, nomograms, PWM inverter-fed induction motor drive, PWM invertors, torque control, torque response, tuning procedure
ASJC Classification2208 Electrical and Electronic Engineering; 2207 Control and Systems Engineering
Languageen angielski
Score (nominal)45
Score sourcejournalList
Publication indicators WoS Citations = 120; Scopus Citations = 171; Scopus SNIP (Source Normalised Impact per Paper): 2000 = 1.448; WoS Impact Factor: 2006 = 0.59 (2) - 2007=2.279 (5)
Citation count*288 (2020-09-04)
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