Title :
Adaptive vector control of induction motor drives based on a neuro-fuzzy approach
Author :
Consoli, A. ; Cerruto, E. ; Raciti, A. ; Testa, A.
Author_Institution :
Dept. of Electr., Electron. & Syst. Eng., Catania Univ., Italy
Abstract :
The paper deals with the design and the experimental realization of an MRAC speed controller for indirect field oriented induction motor drives, based on using fuzzy laws for the adaptive process and a neuro-fuzzy procedure to optimize the fuzzy rules. The variation of the rotor time constant is also compensated by performing a fuzzy fusion of three simple compensation strategies. A performance comparison between the new controller and a conventional MRAC control scheme is carried out by means of simulations confirming the superiority of the proposed fuzzy adaptive regulator. A prototype based on an induction motor drive has been assembled and used to practically verify the features of the proposed control strategy
Keywords :
adaptive control; compensation; control system synthesis; controllers; digital simulation; electric drives; electric machine analysis computing; fuzzy control; induction motors; machine control; model reference adaptive control systems; neural nets; rotors; velocity control; MRAC speed controller; adaptive vector control; compensation strategies; fuzzy fusion; fuzzy rules optimisation; indirect field oriented induction motor drives; induction motor drives; neuro-fuzzy approach; rotor time constant; Adaptive control; Assembly; Design optimization; Fuzzy control; Induction motor drives; Machine vector control; Programmable control; Prototypes; Regulators; Rotors;
Conference_Titel :
Power Electronics Specialists Conference, PESC '94 Record., 25th Annual IEEE
Conference_Location :
Taipei
Print_ISBN :
0-7803-1859-5
DOI :
10.1109/PESC.1994.349726
