출력단 노드에 플랜트를 응용한 신경회로망 제어 시스템에 관한 연구

• 영문명: A Study on the Neural Network Control System using Plant of Output Node for Neural Network
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 이윤주(Yoon Ju Lee)
• 간행물 정보: 『산업기술연구논문지』산업기술교육훈련논문지 제15권 4호, 19~23쪽, 전체 5쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2010.12.30

영문 초록

Neural network is used in many fields of control systems, but input-output patterns of a control system are not easy to be obtained and by using as single feedback neural network controller. And also it is difficult to get a satisfied performance when the changes of rapid load and disturbance are applied. To resolve those problems, this paper proposes a new algorithm which is the neural network controller. The new algorithm uses the neural network instead of activation function to control object at the output node. As the controller is designed in simple structure neural network, input-output pattern problem is solved naturally and real-time learning become possible through general error back propagation algorithm. Application of the new algorithm of neural network controller gives excellent performance for initial and tracking response and it shows the robust performance for rapid load change and disturbance.

목차

ABSTRACT

Ⅰ. 서론

Ⅱ. 제어 시스템

Ⅲ. 시뮬레이션 및 결과고찰

Ⅳ. 결론

참고문헌

키워드

신경망 활성화 함수 오차 역전파 알고리즘 Neural Network Activation Function Back Propagation Algorithm