지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2007.1
- 수록면
- 289 - 293 (5page)
이용수
초록· 키워드
오류제보하기
In this paper, new application of adaptive neural network to design a ship's Rudder-Roll Damping(RRD) control system ispresented. Firstly, the ANNAI neural network controller is presented. Secondly, new RRD control system using this neural networkapproach is developed. It uses two neural network controllers for heading control and roll damping control separately. Finally, Computersimulation of this RRD control system is carried out to compare with a linear quadratic optimal RRD control system; discussions andconclusions are provided. The simulation results show the feasibility of using ANNAI controller for RRD. Also, the necessity ofmathematical ship model in designing RRD control system is removed by using NN control technique.
목차
등록된 정보가 없습니다.
참고문헌 (9)
참고문헌 신청
/ 1995 / A Multi-Objective H-infinitive Solution to the Rudder Rol Damping Problem : 238 ~ 284
/ 1997 / A Robust Roll Damping Controller : 89 ~ 93
/ 1998 / Batch Yaw-Rol Controllable Autopilot : 1 ~ 4
/ 1998 / Quantitative Analysis and Design of a Rudder Roll Damping Controller : 105 ~ 110
/ 1998 / Rudder Roll Stabilization of Ships Subject to Input Rate Saturation Using a Gain Scheduled Control Law : 111 ~ 116
/ 1997 / A Robust Roll Damping Controller : 89 ~ 93
/ 1998 / Batch Yaw-Rol Controllable Autopilot : 1 ~ 4
/ 1998 / Quantitative Analysis and Design of a Rudder Roll Damping Controller : 105 ~ 110
/ 1998 / Rudder Roll Stabilization of Ships Subject to Input Rate Saturation Using a Gain Scheduled Control Law : 111 ~ 116
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