Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2008.04a
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- Pages.219-220
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- 2008
Maximum Torque Control of SynRM using AFNIS(Adaptive Fuzzy Neuro Inference)
AFNIS를 이용한 SynRM의 최대토크 제어
- Jung, Byung-Jin (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Ko, Jae-Sub (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Choi, Jung-Sik (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Jung, Chul-Ho (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Kim, Do-Yeon (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Chung, Dong-Hwa (School of Information & Communication Engineering. Sunchon National Univ.)
- 정병진 (순천대학교 공과대학 정보통신공학부) ;
- 고재섭 (순천대학교 공과대학 정보통신공학부) ;
- 최정식 (순천대학교 공과대학 정보통신공학부) ;
- 정철호 (순천대학교 공과대학 정보통신공학부) ;
- 김도연 (순천대학교 공과대학 정보통신공학부) ;
- 정동화 (순천대학교 공과대학 정보통신공학부)
- Published : 2008.04.25
Abstract
The paper is proposed maximum torque control of SynRM drive using adaptive fuzzy neuro inference system(AFNIS) and artificial neural network(ANN). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d-axis current
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