재생 진동 제어를 위한 적응형 퍼지 모델 제어 알고리즘에 관한 연구

• 영문명: Adaptive Fuzzy Model Control Algorithm for Controlling Vibration
• 발행기관: 한국산업기술융합학회(구. 산업기술교육훈련학회)
• 저자명: 김기량(Gi-Ryang Kim)
• 간행물 정보: 『산업기술연구논문지』산업기술연구논문지 제24권 4호, 45~51쪽, 전체 7쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2019.12.30

영문 초록

In this study, an experiment for the control of vibration generated in ship engines is performed. It is known that vibration is sensitive to changes in a system s internal variables of marine vibration. Therefore, it is difficult to design a sophisticated disturbance remover, and engines are also susceptible to generate noise. The adaptive fuzzy model (AFM) algorithm is proposed to eliminate the nonlinear disturbance caused by the vibration of engines. The vibration control system of the diesel engine is constructed using the AFM algorithm and MR damper. Using MATLAB s Simulink, we compare the proposed model with the internal model principle (IMP), which is applied to stable systems with periodic disturbance, and demonstrate the usefulness of the AFM algorithm.

목차

Ⅰ. 서 론

Ⅱ. 제어기 설계

Ⅲ. 실험 및 시뮬레이션 결과

Ⅳ. 결과 및 향후 연구

키워드

선박 진동 외란 잡음 적응형 퍼지 모델 내부 모델 원리 Marine Vibration Disturbance Noise Adaptive Fuzzy Model Internal Model Principle