In this study, the AHP (analytic hierarchy process) technique was used to analyze the risk of expected risk factors and fishing possibilities during gillnet fishing within the floating offshore wind farms (floating OWF). For this purpose, the risks that may occur during gillnet fishing within the floating offshore wind farms were defined as collisions, entanglements, and snags. In addition, the risk factors that cause these risks were classified into three upper risk factors and ten sub risk factors, and the three alternatives to gillnet fishing available within the floating OWF were classified and a hierarchy was established. Lastly, a survey was conducted targeting fisheries and marine experts and the response results were analyzed. As a result of the analysis, among the top risk factors, the risk was the greatest when laying fishing gear. The risk of the sub factors for each upper risk was found to be the highest at the berthing (mooring), the final hauling of fishing net, and the laying of the bottom layer net. Based on the alternatives, the average of the integrated risk rankings showed that allowing full navigation/fisheries had the highest risk. As a result of the final ranking analysis of the integrated risk, the overall ranking of allowing navigation/fisheries in areas where bottom layer nets were laid was ranked the first when moving vessels within the floating OWF was analyzed as the lowest integrated risk ranking of the 30th at the ban on navigation/fisheries. Through this, navigation was analyzed to be possible while it was analyzed that the possibility of gillnet fishing within the floating OWF was not high.
This study aims to analyze the income structure, cost structure, and profit structure based on data related to the business performance of the boat seine fishery from 1990 to 2020, and to identify the direct and indirect factors affecting fishery profitability through panel regression analysis. The main analysis results are as follows. First, it was found that fish catch has a significant amount of impact on fishery profitability, which is a key factor in improving the profitability of anchovy boat seine fishery. Second, it is necessary to develop carbon-reduced fishing gear, develop fleet-reduced fishing gear, and improve the operating system in order to increase fishery profitability for the short run. Third, it is necessary to create and maintain sustainable profitability for the long run, the continuous fishing vessels buyback program, an active responses to climate change, and the follow-up investigations about marine aggregate extraction in the south sea EEZ are needed.
In this study, to control the heading angle of a ship, which is constantly subjected to various internal and external disturbances during the voyage, an LADRC (linear active disturbance rejection control) design that focuses more on improving the disturbance removal performance was proposed. The speed rate of change of the ship’s heading angle due to the turn of the rudder angle was selected as a significant factor, and the nonlinear model of the ship’s maneuvering equation, including the steering gear, was treated as a total disturbance. It is the similar process with an LADRC design for the first-order transfer function model. At this time, the gains of the controller included in LADRC and the gains of the extended state observer were tuned to RCGAs (real-coded genetic algorithms) to minimize the integral time-weighted absolute error as an evaluation function. The simulation was performed by applying the proposed GA-LADRC controller to the heading angle control of the Mariner class vessel. In particular, it was confirmed that the proposed controller satisfactorily maintains and follows the set course even when the disturbances such as nonlinearity, modelling error, uncertainty and noise of the measurement sensor are considered.
This study analyzes the importance and implementation of countermeasures to reduce safety accidents that may occur during fishing in coastal gillnet fishing. Safety accidents that may occur in coastal gillnet fishing were classified into 56 measurement items in six areas: slips and trips, contact with machinery, falls, struck by object, musculoskeletal symptoms, and electrical shock. 35 fishermen belonging to coastal gillnet associations in Tongyeong and Namhae were selected as samples, and the importance and implementation of the proposed measurement items were investigated in the field. In addition, the results were evaluated visually by IPA analysis. As a result of the analysis, the importance of struck by object was the highest, and the implementation of slips and trips was the highest. On the other hand, prevention of musculoskeletal damage was found to be the lowest in both importance and implementation. The area with the most significant difference in importance and implementation by the classified area for measurement items was struck by object, and the area with the minor difference was slips and trips. Among the measurement items, the importance is highly recognized, but there are items with low implementation. To improve their level of implementation, countermeasures such as continuous education, economic support, and structural change of fishing boats should be prepared; moreover, policy support activities for implementation should be carried out.
In this study, the second-order Nomoto’s nonlinear expansion model was implemented as a Tagaki-Sugeno fuzzy model based on the heading angular velocity to design the automatic steering system of a ship considering nonlinear elements. A Tagaki-Sugeno fuzzy PID controller was designed using the applied fuzzy membership functions from the Tagaki-Sugeno fuzzy model. The linear models and fuzzy membership functions of each operating point of a given nonlinear expansion model were simultaneously tuned using a genetic algorithm. It was confirmed that the implemented Tagaki-Sugeno fuzzy model could accurately describe the given nonlinear expansion model through the Zig-Zag experiment. The optimal parameters of the sub-PID controller for each operating point of the Tagaki-Sugeno fuzzy model were searched using a genetic algorithm. The evaluation function for searching the optimal parameters considered the route extension due to course deviation and the resistance component of the ship by steering. By adding a penalty function to the evaluation function, the performance of the automatic steering system of the ship could be evaluated to track the set course without overshooting when changing the course. It was confirmed that the sub-PID controller for each operating point followed the set course to minimize the evaluation function without overshoot when changing the course. The outputs of the tuned sub-PID controllers were combined in a weighted average method using the membership functions of the Tagaki-Sugeno fuzzy model. The proposed Tagaki-Sugeno fuzzy PID controller was applied to the second-order Nomoto’s nonlinear expansion model. As a result of examining the transient response characteristics for the set course change, it was confirmed that the set course tracking was satisfactorily performed.
In this study, the load fluctuation of the main engine is considered to be a disturbance for the jacket coolant temperature control system of the low-speed two-stroke main diesel engine on the ships. A nonlinear PID temperature control system with satisfactory disturbance rejection performance was designed by rapidly transmitting the load change value to the controller for following the reference set value. The feed-forwarded load fluctuation is considered the set points of the dual loop control system to be changed. Real-coded genetic algorithms were used as an optimization tool to tune the gains for the nonlinear PID controller. ITAE was used as an evaluation function for optimization. For the evaluation function, the engine jacket coolant outlet temperature was considered. As a result of simulating the proposed cascade nonlinear PID control system, it was confirmed that the disturbance caused by the load fluctuation was eliminated with satisfactory performance and that the changed set value was followed.
In this study, we investigated how satisfaction with on-board training had an effect on career motivation of the trainees. For this purpose, satisfaction for on-board training and career motivation were used as variables. Satisfaction for on-board training were classified into education, environment and operation, and then measurement items were composed. Career motivation consisted of career identity, career insight and career resilience. To establish and test nine hypotheses, a questionnaire survey was conducted by 57 trainees who participated in the Gyeongsang National University on-board sailing training in 2021. To analyze the questionnaire responses, frequency analysis, factor analysis, multiple regression analysis and paired sample t-test were used. As a result of factor analysis, six factors for satisfaction for on-board training were derived. Among the factors, it was analyzed that satisfaction with assignments, the satisfaction with accommodation, and the satisfaction with the adequate condition of facilities and equipment had a significant effect on career motivation. In addition, it was found that career motivation significantly increased through on-board training as a result of comparing the difference between the averages of career motivation before and after on-board training.
In this study, factors such as improvement of a fishing process and safety, reduction of the labor force and headcount and development of the automation technology for offshore (eel and crab) pot fishing vessels were analyzed. A questionnaire survey was conducted to analyze and select the key factors using independent/paired sample t-test and correlation analysis, and a living lab was operated with ship owners, skippers and experts to discuss practical needs of the site. From the result of questionnaire survey and field requirements, it was possible to understand the level of awareness of ship safety, general safety equipment, fishing work process and fishing safety equipment from the point of view of the field. In addition, there were differences in the measurement results of each items because the working environment and experience were different according to the position of the ship owner and the skipper. The results of the questionnaire survey and various perceptions of field stakeholders were reflected when analyzing the fishing system and fishing process to choose the development equipment applicable to the field. From the analysis results, the selected development equipment based on the fishing equipment and process currently in operation are pot washing device, catch separation and fish hold injection device, length limit regulations and bait ejection device after use, automatic main line winding device, bait crusher, automatic (crab) pot hauling separator and so on.
대양 항행하는 거의 모든 선박에서 항해사를 지원하기 위해 선박의 회두각 유지 및 변침을 목적으로 사용되는 일반적인 자동조타기는 대부분 PID형 제어기가 장착되어 있다. 선박 자동조타기의 제어기 계수는 운항 경제성 관점에서 선박의 추진 에너지 손실량(연료소비량)으로써 평가해야 한다. 본 논문에서는 선박 자동조타기의 정량적인 평가함수를 바탕으로 추진 에너지 손실량이 최소가 되도록 자동조타기의 제어이득을 구하고자 한다. 이 때 제약조건, 즉 설계사양을 고려한 RCGA를 이용하여 제어이득의 탐색을 실시하고, 시뮬레이션을 통해 제안한 방법을 검증한다.
대규모 컨테이너항만의 건설과 함께 컨테이너 크레인의 생산성 향상으로 선박 체항시간을 단축시켜 항만의 서비스 수준을 높이려는 노력이 가속화되고 있다. 컨테이너 크레인 시스템에 가해지는 입력에 대하여 바람직한 성능을 보이도록 설계사양을 고려한 상태 퍼드백 제어시스템을 사용한다. 컨테이너 크레인에서 측정이 까다롭거나 측정 잡음이 클 것으로 예상되는 상태 변수를 추정하는 방법으로 상태 관측기를 설계하고자 한다. 기존의 연구에서는 상태 피드백 제어시스템의 피드백 이득행렬과 상태 관측기 이득행렬을 분리하여 구하였다. 그러나 본 연구에서는 피드백 이득행렬과 상태 관측기 이득행렬을 선정함에 있어 최근 강인한 탐색법으로 많이 사용되는 REGAs를 사용해 설계사양을 만족하도록 동시에 구하고자 한다.
본 논문은 파라미터 변화나 외란이 존재하는 환경에서 컨테이너 크레인의 트롤리 위치와 컨테이너의 흔들림을 효과적으로 제어할 수 있는 모델기반 퍼지제어기를 제안한다. 이를 위해 우선 파라미터 변화에 대응할 수 있는 모델링 기법인 T-S 퍼지모델을 구현하고, 소속함수의 파라미터를 실수코딩 유전알고리즘(RCGA)으로 조정하는 문제를 다룬다. 다음으로 퍼지모델의 각 서브시스템에 대해 LQ 제어기 법을 사용하여 서브제어기를 설계하고, 이렇게 설계된 서브제어기를 ROGA로 조정된 퍼지모델의 소속함수로 퍼지결합하여 제안하는 모델기반 퍼지제어기를 구성한다. 시뮬레이션을 통해 RCGA로 조정된 소속함수를 사용하는 퍼지모델은 컨테이너 크레인의 비선형 모델의 출력에 잘 추종하였고, 모델기반 퍼지제어기도 파라미터 변화와 외란이 존재하는 환경에서 강인한 제어를 수행하고 있음을 확인하였다.
컨테이너 화물의 복합운송시스템 중에서 체화현상은 항만에서 가장 심각하다. 이러한 문제를 해결하기 위해 해상과 육상의 경계선에서 체선체화 문제를 발생시키는 컨테이너 크레인의 직업효율을 향상시키는 방법을 생각할 수 있다. 이를 위해 본 연구에서는 가능한 범위에서 트롤리를 목표지점까지 빠르게 이동시키는 동시에 목표위치에서의 흔들림도 짧은 시간 내에 제어하는 문제를 다루고 있다. 제어 전략으로 설계된 구간에서 최적의 성능과 강인성이 보장되는 LQ 제어와 제약조건에서 최적화가 가능한 실수코딩 유전알고리즘을 결합한다. 컴퓨터 시뮬레이션을 통해 제안한 제어기가 설정한 설계사양을 완벽하게 만족하는 것을 보임으로 그 유효성을 증명한다.