한국해양대학교

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고장감지를 활용한 군집 무인수상정의 제어에 관한 연구

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dc.contributor.advisor 최형식 -
dc.contributor.author 이지형 -
dc.date.accessioned 2022-06-22T17:38:33Z -
dc.date.available 2022-06-22T17:38:33Z -
dc.date.created 20210823115531 -
dc.date.issued 2021 -
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/12780 -
dc.identifier.uri http://kmou.dcollection.net/common/orgView/200000506397 -
dc.description.abstract In this study, in order to overcome the limitations of a single unmanned surface vehicle(USV), a study was conducted on the swarm control algorithm of the USV. Among the various swarm control methods, a leader-follower swarm control was selected and studied, and the performance of the swarm USV control algorithm proposed in this study was verified through an actual sea area test. In addition, a fault detection algorithm was developed to solve the disadvantage of the leader-follower swarm USV control method, and the performance of the algorithm was verified through an actual sea area test. A USV for this study was designed and manufactured by dividing the power part and control part. The power system is equipped with a coulometer to monitor the state of the battery in real-time, to protect the system through a switch linked to the coulometer when an abnormality occurs in the battery, and to prevent accidents. In addition, a communication system was established to process the sensor data and camera image data of the USV in real-time. A waypoint algorithm and a cross-track error compensation algorithm were developed and applied to the leader-follower USV for basic navigation. It is possible to achieve the desired swarm formation through the separately constructed swarm control algorithm. In order to overcome the disadvantage of the leader-follower swarm USV, The fault detection algorithm was studied and applied. When the fault of the leader USV is recognized by the operator and the follower USV, the leading mission is taken over by the follower USV. In order to verify the reliability of the sensor data installed on each USV before the actual sea area test, individual performance tests of each sensor were conducted. Finally, the performance of the swarm USV control algorithm and fault detection algorithm was confirmed by conducting the actual sea area test, and the good performance of the controllers was confirmed, and the successful swarm USV formation was confirmed through the actual sea area test. -
dc.description.tableofcontents 1. 서론 1 1.1 연구 배경 1 1.2 연구 목적 3 1.3 논문 구성 4 2. 무인수상정 구성 5 2.1 무인수상정 구조 5 2.1.1 무인수상정 설계 6 2.1.2 무인수상정 전원부 7 2.1.3 무인수상정 제어부 10 2.1.4 무인수상정 센서부 13 2.1.5 무인수상정 통신부 16 2.2 운용시스템 구성 19 2.2.1 운용콘솔 구성 19 2.2.2 모니터링 프로그램 20 3. 동역학 및 제어 알고리즘 21 3.1 무인수상정 동역학 모델링 21 3.2 선도-추종 기반 군집 모델링 27 3.3 무인수상정 제어 알고리즘 31 3.3.1 경유점추종제어(Waypoint) 알고리즘 31 3.3.2 선박이탈수직거리오차(Cross Track Error) 보상 알고리즘 35 3.4 군집제어 알고리즘 39 3.4.1 추종 무인수상정의 군집제어기 설계 39 3.4.2 선도-추종 무인수상정의 군집제어 알고리즘 42 3.4.3 고장 감지 기반 선도-추종 군집 제어 알고리즘 51 4. 군집 무인수상정의 실해역 실험 57 4.1 센서 성능 실험 57 4.1.1 통신 속도 실험 57 4.1.2 GNSS 시스템(정적상태) 성능 실험 60 4.1.3 GNSS 시스템(동적상태) 성능 실험 64 4.2 무인수상정 군집제어 실해역 실험 68 4.2.1 군집제어 성능 실험 68 4.2.2 고장진단 알고리즘 구현 실험 79 5. 결론 85 참고문헌 87 -
dc.language kor -
dc.publisher 한국해양대학교 대학원 -
dc.rights 한국해양대학교 논문은 저작권에 의해 보호받습니다. -
dc.title 고장감지를 활용한 군집 무인수상정의 제어에 관한 연구 -
dc.title.alternative A Study on Swarm USV Control using Fault Detection -
dc.type Dissertation -
dc.date.awarded 2021. 8 -
dc.embargo.liftdate 2021-08-23 -
dc.contributor.department 대학원 기계공학과 -
dc.contributor.affiliation 한국해양대학교 대학원 기계공학과 -
dc.description.degree Master -
dc.identifier.bibliographicCitation [1]이지형, “고장감지를 활용한 군집 무인수상정의 제어에 관한 연구,” 한국해양대학교 대학원, 2021. -
dc.subject.keyword unmanned surface vehicle -
dc.subject.keyword swarm control algorithm -
dc.subject.keyword waypoint control -
dc.subject.keyword cross track error -
dc.subject.keyword fault detection algorithm -
dc.subject.keyword leader-follower swarm control -
dc.identifier.holdings 000000001979▲200000002463▲200000506397▲ -
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