Induction motor optimum flux search algorithms with transient state loss minimization using a fuzzy logic based supervisor

Author

Moreno-Eguílaz, J. ; Cipolla, Miguel ; Peracaula, Juan ; Branco, Paulo J da Costa

Author_Institution

Dept. of Electron. Eng., Catalonia Polytech. Univ., Barcelona, Spain

Volume

2

fYear

1997

fDate

22-27 Jun 1997

Firstpage

1302

Abstract

A review of different optimum flux search algorithms for loss minimization in a vector-controlled induction motor drive is presented. A fuzzy logic controller, actuating as a supervisor, is proposed to work with reduced flux levels during transients and also to optimize efficiency in dynamic modes. Experimental results demonstrate the validity of the proposed methods

Keywords

control system synthesis; fuzzy control; induction motor drives; losses; machine control; machine testing; machine theory; magnetic flux; magnetic variables control; optimal control; search problems; control design; control performance; dynamic mode efficiency optimisation; fuzzy logic controller; fuzzy logic-based supervisor; induction motor drive; optimum flux search algorithms; transient flux levels; transient state loss minimization; vector control; Acceleration; Convergence; Copper; Energy consumption; Fuzzy logic; Induction motor drives; Induction motors; Iron; Minimization methods; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Electronics Specialists Conference, 1997. PESC '97 Record., 28th Annual IEEE

Conference_Location

St. Louis, MO

ISSN

0275-9306

Print_ISBN

0-7803-3840-5

Type

conf

DOI

10.1109/PESC.1997.616937

Filename

616937