Fuzzy learning enhanced speed control of an indirect field oriented induction machine drive

Author

Li Zhen ; Xu, Longya

Author_Institution

Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA

fYear

1996

fDate

15-18 Sep 1996

Firstpage

109

Lastpage

114

Abstract

Indirect field orientation (IFO) induction machine drives are increasingly employed in industrial drive systems, but the drive performance often degrades due to the machine parameter variations. In this paper, a fuzzy model reference learning control (FMRLC) technique is applied in an IFO induction machine drive, such that the machine can follow a reference model (an ideal field oriented machine) to achieve the desired speed performance. Experimental results are presented to verify the effectiveness of the proposed control scheme

Keywords

angular velocity control; fuzzy control; induction motor drives; intelligent control; learning systems; model reference adaptive control systems; closed loop systems; direct fuzzy control; fuzzy learning; fuzzy model reference learning control; indirect field oriented machine; induction machine drive; intelligent control; speed control; Control system synthesis; Control systems; Current control; Fuzzy control; Induction machines; Machine learning; Regulators; Torque control; Uniform resource locators; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on

Conference_Location

Dearborn, MI

ISSN

2158-9860

Print_ISBN

0-7803-2978-3

Type

conf

DOI

10.1109/ISIC.1996.556186

Filename

556186