Title :
Direct torque neuro-fuzzy control of induction motor drive
Author :
Grabowski, Pawel Z.
Author_Institution :
Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Poland
Abstract :
This paper presents a new induction motor drive control strategy in the discrete direct torque control scheme based on a neuro-fuzzy structure. Two schemes are proposed: a neuro-fuzzy switching times calculator; and a neuro-fuzzy incremental controller with space vector modulator. These control strategies guarantee very good dynamic and steady-state characteristics, with very low sampling time and constant switching frequency. The proposed techniques are verified by a simulation study of the whole drive system and the results are compared with the conventional discrete direct torque control method
Keywords :
control system analysis; control system synthesis; discrete systems; fuzzy control; fuzzy neural nets; induction motor drives; machine control; machine theory; neurocontrollers; torque control; control design; control simulation; control strategies; discrete direct torque neuro-fuzzy control; dynamic characteristics; induction motor drive; neuro-fuzzy incremental controller; neuro-fuzzy switching times calculator; sampling time; space vector modulator; steady-state characteristics; switching frequency; Fuzzy control; Fuzzy logic; Hysteresis; Induction motor drives; Inverters; Motion control; Regulators; Sampling methods; Switching frequency; Torque control;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3932-0
DOI :
10.1109/IECON.1997.671794
