Title :
A simple direct-torque neuro-fuzzy control of PWM-inverter-fed induction motor drive
Author :
Grabowski, Pawel Z. ; Kazmierkowski, Marian P. ; Bose, Bimal K. ; Blaabjerg, Frede
Author_Institution :
Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Poland
fDate :
8/1/2000 12:00:00 AM
Abstract :
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
Keywords :
DC-AC power convertors; PWM invertors; control system analysis; control system synthesis; fuzzy control; fuzzy neural nets; induction motor drives; inference mechanisms; machine control; machine testing; machine theory; neurocontrollers; torque control; 3 kW; PWM inverter-fed induction motor drive; adaptive neuro-fuzzy inference system; control design; control performance; control simulation; decoupled flux/torque control; direct-torque neuro-fuzzy control; flux response; nomograms; torque response; tuning procedure; Adaptive control; Adaptive systems; Control systems; Digital signal processors; Induction motor drives; Induction motors; Process control; Programmable control; Pulse width modulation; Torque control;
Journal_Title :
Industrial Electronics, IEEE Transactions on
