Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2007.10c
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- Pages.126-128
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- 2007
Maximum Torque Control of IPMSM Drive using Adaptive Fuzzy-Neuro Controller
적응 퍼지-뉴로 제어기를 이용한 IPMSM 드라이브의 최대토크 제어
- Kim, Do-Yeon (School of Information & Communication Engineering, Sunchon National Univ.) ;
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Ko, Jae-Sub
(School of Information & Communication Engineering, Sunchon National Univ.) ;
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Choi, Jung-Sik
(School of Information & Communication Engineering, Sunchon National Univ.) ;
- Jung, Byung-Jin (School of Information & Communication Engineering, Sunchon National Univ.) ;
- Park, Ki-Tae (School of Information & Communication Engineering, Sunchon National Univ.) ;
- Choi, Jung-Hoon (School of Information & Communication Engineering, Sunchon National Univ.) ;
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Chung, Dong-Hwa
(School of Information & Communication Engineering, Sunchon National Univ.)
- 김도연 (순천대학교 공과대학 정보통신공학부) ;
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고재섭
(순천대학교 공과대학 정보통신공학부) ;
-
최정식
(순천대학교 공과대학 정보통신공학부) ;
- 정병진 (순천대학교 공과대학 정보통신공학부) ;
- 박기태 (순천대학교 공과대학 정보통신공학부) ;
- 최정훈 (순천대학교 공과대학 정보통신공학부) ;
-
정동화
(순천대학교 공과대학 정보통신공학부)
- Published : 2007.10.25
Abstract
This paper proposes maximum torque control of IPMSM drive using Adaptive Fuzzy-Neuro controller and artificial neural network(ANN). The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. This paper proposes the analysis results to verify the effectiveness of the Adaptive Fuzzy-Neuro and ANN controller.
Keywords