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

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2 Author(s)
Zhen, L. ; Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA ; Longya Xu

Indirect field orientation (IFO) induction machine drives are increasingly employed in industrial drive systems, but the drive performance often degrades due to machine parameter variations. In this paper, a fuzzy model reference learning control technique is applied to 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

Published in:

Control Systems Technology, IEEE Transactions on  (Volume:8 ,  Issue: 2 )