A simple direct-torque neuro-fuzzy control of PWM-inverter-fed induction motor drive
P.Z. Grabowski , Marian Kaźmierkowski , B.K. Bose , F. Blaabjerg
AbstractIn 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
|Journal series||IEEE Transactions on Industrial Electronics, ISSN 0278-0046|
|Keywords in English||3 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|
|Publication indicators||= 120; = 171; : 2000 = 1.448; : 2006 = 0.59 (2) - 2007=2.279 (5)|
|Citation count*||288 (2020-09-04)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.