DC 서보 모터를 위한 퍼지 뉴럴 네트워크 제어기 설계

• 영문명: Design o f Fuzzv-Neural Netwoik Controller for D C Servo M otor
• 발행기관: 호서대학교 공업기술연구소
• 저자명: 한병조(Byung Jo Han) 구경완(Kyung Wan Koo)
• 간행물 정보: 『공업기술연구 논문집』제29권 제1호, 33~39쪽, 전체 7쪽
• 주제분류: 공학 > 제어계측공학
• 파일형태: PDF
• 발행일자: 2010.06.30

영문 초록

Motor-control technology has been developed very differently. However, the internal uncertainty and disturbance is reduced by the control performance. Conventional sliding-mode technique was used. However, the control input has the disadvantage caused by the chattering. In this paper, fiizzy-neural network controller is proposed for model uncertainty of a DC servo motor. The proposed controller model uncertainty, disturbances, and friction are included. Uncertainty components were approximated Using fuzzy neural network. The fuzzy neural network weights of the connections between objects that were automatically granted. The proposed controller performance by computer simulation proved for position control of DC motors. The simulation results show that the controller components were estimated uncertainty of the unknown.

목차

i. 서 론

2. 본 론

3. 모의실험 및 분석

키워드

DC Servo Motor DC 서보모터 Fuzzy 퍼지 Neural Network 뉴럴 네트워크 Controller 제어기 Adaptive ControK 적응 제어