질량이동형 감요장치의 제어기 설계에 최적제어기법 적용
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 윤현규 | - |
dc.contributor.author | 이경중 | - |
dc.contributor.author | 황태현 | - |
dc.date.accessioned | 2021-12-08T22:41:04Z | - |
dc.date.available | 2021-12-08T22:41:04Z | - |
dc.date.issued | 20061102 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/6636 | - |
dc.description.abstract | Mass Driving Anti-Rolling System(MDARS) is used to reduce small ship's roll motion. In general, the Proportional-Derivative-Acceleration(PDA) controller has been widely used as the controller for MDARS system. In this paper, optimal control theory was applied to improve roll reduction capability instead of PDA controller. To do this, the coupled dynamics of ship and moving weight was derived, and described as the state-space model. As the result of the comparison of optimal controller with conventional PDA controller, it was confirmed that the optimal controller might be used as an alternative of the PDA controller with the same degree of performance. In addition, saturation of control force and slow actuator dynamics were considered conveniently when optimal controller was used. | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.title | 질량이동형 감요장치의 제어기 설계에 최적제어기법 적용 | - |
dc.title.alternative | Application of Optimal Control Theory on the Design of the Controller for the Mass Driving Anti-Rolling System | - |
dc.type | Conference | - |
dc.citation.title | 대한조선학회 2006년도 추계학술대회 논문집 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 260 | - |
dc.citation.endPage | 267 | - |
dc.citation.conferenceName | 대한조선학회 2006년도 추계학술대회 논문집 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(34103) 대전광역시 유성구 유성대로1312번길 32042-866-3114
COPYRIGHT 2021 BY KOREA RESEARCH INSTITUTE OF SHIPS & OCEAN ENGINEERING. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.