Title :
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
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;
Conference_Titel :
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2978-3
DOI :
10.1109/ISIC.1996.556186
