Title :
A comparison study of three fuzzy schemes for indirect vector control of induction machine drives
Author :
Zhen, Li ; Xu, Longya
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
This paper presents a comparison study on three recently developed fuzzy schemes for the indirect vector control of induction machine drives. First, the three fuzzy control schemes, including a fuzzy model reference learning control (FMRLC) scheme, are described as the possible candidates for improving the induction machine drive performance. Then, the FMRLC is detailed to demonstrate the high potential for indirect vector controlled induction machine drives. Finally, based on experimental results, a comparison of the fuzzy control schemes is made and the results are summarized
Keywords :
control system analysis; fuzzy control; induction motor drives; learning (artificial intelligence); machine control; machine testing; machine theory; model reference adaptive control systems; control performance; control simulation; experimental tests; fuzzy algorithm; fuzzy model reference learning control; indirect vector fuzzy control schemes; induction machine drives; Control systems; Current control; Digital signal processing; Fuzzy control; Induction machines; Inverters; Machine learning; Machine vector control; Torque control; Velocity control;
Conference_Titel :
Industry Applications Conference, 1996. Thirty-First IAS Annual Meeting, IAS '96., Conference Record of the 1996 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-3544-9
DOI :
10.1109/IAS.1996.559301
