Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2005.10a
- /
- Pages.136-138
- /
- 2005
BLDC Motor Control using Neural Network PI Self tuning
신경회로망 PI자기동조를 이용한 BLDC 모터제어
- Bae, E.K. (Myongji Univ.) ;
- Kwon, J.D. (Myongji Univ.) ;
- Jeon, K.Y. (SBC) ;
- Hahm, N.G. (in Tech-FA) ;
-
Lee, S.H.
(Daedok Col.)
;
-
Lee, H.G.
(Yang-In Songdam Col.)
;
- Chung, C.B. (KTME) ;
-
Han, K.H.
(Myongji Univ.)
- 배은경 (명지대학교) ;
- 권중동 (명지대학교) ;
- 전기영 (중소기업진흥공단) ;
- 함년근 ((주)인텍 에프에이) ;
-
이승환
(대덕대학)
;
-
이훈구
(용인송담대학)
;
- 정춘병 ((주)한국종합기계엔지니어링) ;
-
한경희
(명지대학교)
- Published : 2005.10.14
Abstract
The conventional self-tuning methods have the speed control problem of nonlinear BLDC motor which can't adapt against any kinds of noise or operation circumstances. In this paper, supposed to solve these problem to PI parameters controller algorithm using ANN. In the proposed algorithm, the parameters of the controller were adjusted to reduce by on-line system the error of the speed of BLDC motor. In this process, EBPA NN was constituted to an output error value of a BLDC motor and conspired an input and output. The performance of the self-tuning controller is compared with that of the PI controller tuned by conventional method(Z&N). The effectiveness of the proposed control method IS verified thought the Matlab Simulink.
Keywords