Title :
Fuzzy logic applications to high performance drives with special reference to reluctance motors
Author :
Nagrial, Mahmood ; Qureshi, M.T. ; Mohamed, Mostafa A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Western Sydney, Kingswood, NSW, Australia
Abstract :
This paper reviews the applications of fuzzy and neuro-fuzzy control to DC and AC drives. It also reviews the application in VR drive systems. It is concluded that further research work is required in this area as VR drives are quite nonlinear electromagnetic structures. Fuzzy and neuro-fuzzy control techniques are ideal solutions to control of reluctance drives
Keywords :
fuzzy control; fuzzy neural nets; machine control; neurocontrollers; reluctance motor drives; fuzzy control; high performance drives; neuro-fuzzy control; nonlinear electromagnetic structures; reluctance motors; variable reluctance drive systems; Artificial neural networks; Control systems; Electric variables control; Fuzzy control; Fuzzy logic; Magnetic variables control; Nonlinear control systems; Power electronics; Reluctance motors; Torque control;
Conference_Titel :
Power Electronics and Drive Systems, 1997. Proceedings., 1997 International Conference on
Print_ISBN :
0-7803-3773-5
DOI :
10.1109/PEDS.1997.618694
