A comparison study of three fuzzy schemes for indirect vector control of induction machine drives

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.