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

fYear

1994

fDate

20-25 Jun 1994

Firstpage

225

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Specialists Conference, PESC '94 Record., 25th Annual IEEE

Conference_Location

Taipei

Print_ISBN

0-7803-1859-5

Type

conf

DOI

10.1109/PESC.1994.349726

Filename

349726