• Title/Summary/Keyword: 선박제어

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DPO 면허취득과정의 최근 동향

  • Ye, Byeong-Deok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2015.07a
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    • pp.57-59
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    • 2015
  • 심해에서의 유전개발이 활성화되면서 이러한 개발에 필수적인 장비인 동적위치제어시스템 (Dynamic Positioning System, DPS)을 설치한 선박 또는 해양구조물의 수요도 폭발적으로 증가하고 있으며, 이에 따라 DPS 운영에 필수적인 DPO (Dynamic Positioning Operator) 자격증을 취득하고자 하는 지원자도 매년 급속하게 증가하고 있다. 그러나 DPO 교육훈련과정은 강제요건이 아니며, 따라서 엄정한 자격증명 및 검증이 어려운 실정이다. 특히 매년 2000건 이상의 신규면허를 심사하고 발급하는 것은 물론 기존 면허자에 대한 재검증 절차도 수행하여야 하는 현재의 상황으로 볼 때 효율적인 DPO 양성을 기대하기는 어려운 실정이다. 이 연구에서는 보다 이러한 문제점을 개선하여 보다 더 효율적이면서도 엄정한 DPO 양성을 위한 제도개선을 제안한다.

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A ship control by fuzzy neutral network (FNN에 의한 선박의 제어)

  • Kang, Chang-Nam
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.1703_1704
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    • 2009
  • Fuzzy neural ship controllers is used in ship steering control. It can make full use of the advantage of all kinds of intelligent algorithms. This provides an efficient way for this paper. An RBF neural network and GA optimization are employed in a fuzzy neural controller to deal with the nonlinearity, time varying and uncertain factors. Utilizing the designed network to substitute the conventional fuzzy inference, the rule base and membership functions can be auto-adjusted by GA optimization. The parameters of neural network can be decreased by using union-rule configuration in the hidden layer of the network. The ship control quality is effectively improved in case of appending additional sea state disturbance. The performance of controller is evaluated by the system simulation using simulink tools.

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Speed Control of Marine Diesel Engines Using Fuzzy Scheduling (퍼지게인 스케줄링을 이용한 선박용 디젤기관의 속도제어)

  • 유성호
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2000.05a
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    • pp.1-5
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    • 2000
  • The conventional PID controller has been extensively used to speed control of marine diesel engines. However one of drawbacks is that its control performance can be degraded if the parameters are fixed on whole operating points. In this paper a scheme for integrating PID control and the fuzzy technique is presented to control speed of a marine diesel engine on whole operating points. At first the PID controller is designed at each speed mode whose parameters are optimally adjusted using a genetic algorithm, Then fuzzy "if-then" rules combine the controllers as a consequence part. To demonstrate the effectiveness of the proposed fuzzy controller a set of simulation works on a marine diesel engine are carried out.rried out.

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Design of Automatic Control System for Ship Stabilization (선박 안정화를 위한 자동제어설계에 대하여)

  • 박정후
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.11 no.1
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    • pp.26-31
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    • 1975
  • Mordern Ocean-going ships utilize stabilization techniques in order to minimize the effects of oscillations due to the unwanted disturbances. In this paper, as an elementary design of automatic control system with linear-state vari;tble feedback and series compensator for ship stabilization, analysis and design is limited to the linear time-invariant single input and output system. In order for the Controlled system to meet the requirements of stability, accuracy and transient response, a model of the automatic control system is proposed. For the analysis and design of this model, the state-space method, that is, the mordern way, or an alternative to the transfer function method of describing a linear system that utilize the state variables and state equations, is applied.

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Implement of VLC System Based on CAN Communication (CAN 통신 연동 가시광 통신 시스템의 확장구현)

  • Kim, Deok-Rae;Yang, Se-Hoon;Kim, Hyun-Seung;Son, Yong-Hwan;Han, Sang-Kook
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.11B
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    • pp.1389-1393
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    • 2011
  • In this paper, we implement the VLC system based on CAN communication which is usually used in car, plane, ship, product line control system, medical device and industrial device. We implement the application circuit which is VLC and CAN communication and explain the principle. Circuit's pulse features are demonstrated by each part's signal. Total communication distance is 3m and it's transmission performance is error free.

Design of the Real-time Water Tank Wireless Control System in a Ship Using the RF and PLC (RF와 PLC를 이용한 실시간 선박용 물탱크 무선 제어 시스템 설계)

  • Park, O.D.;Lee, S.H.;Kim, H.S.;Long, Nguyen Phi;Hieu, Nguyen Hoang;Kim, H.S.;Cha, C.S.
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.288-290
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    • 2006
  • This paper presents the real-time water tank wireless control in a ship using duplex RF modules and PLC(Programmable logic Controller). The purpose of this paper is developing HMI(Human Machine Interface) for automation equipments. The system can low a cost because long wires are no more used. Analog signals of the water gauge and flow meter are changed to discrete signals by the micro-processor. The PLC checks the volume of water and runs On or Off of the valve and pump. Duplex RF modules send and receive data between the water tank and control room. Everywhere the Internet is used, operators are able to check the status of the system by the web-server.

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Design of a Shipboard Night Vision System (선박 Night Vision 시스템용 Pedestal의 제어부 개발)

  • Kim, Jung-Keun;Kim, Jong-Min;Park, Ki-Rang;Song, Se-Hun;Baek, Seung-Hun;Jin, Sang-Hun;Jung, In;Hwang, Seung-Wook;Jin, Gang-Gyoo
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2006.06a
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    • pp.107-108
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    • 2006
  • This paper presents the design of a night vision system for vessels. Both a hardware system and software modules for stabilization control are developed. In order to stabilize each control axis, the two-degree of freedom(TDF) PID controller is designed and its parameters are tuned using a real-coded genetic algorithm(RCGA). Simulation demonstrates the effectiveness of the proposed system.

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A Fuzzy PID Controller Type Autopilot System for Route-Tracking of Ships (선박의 항로추종을 위한 펴지 PID 제어기형 오토파이럿 시스템)

  • Kim, Jong-Hwa;Ha, Yun-Su;Lee, Byung-Kyul
    • Journal of Advanced Marine Engineering and Technology
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    • v.30 no.6
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    • pp.760-769
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    • 2006
  • This paper proposes an autopilot system using a fuzzy PID controller to satisfy performances required for the automatic navigation of ships under various marine circumstances. The existing autopilot system using a PD type controller has difficulties in eliminating a steady-state error and compensating nonlinear characteristics of ships. The autopilot system using the proposed fuzzy PID controller has a self-tuning ability, an ability to compensate nonlinear characteristics, and an ability to turn at constant angular velocity. Therefore. it can naturally make a steady-state error zero, compensate nonlinear dynamic effect of ships, have an adaptability to parameter variation owing to shallow water effect, and have an ability to turn ship's course rapidly without overshoot through procedures of acceleration, constant, and deceleration of angular velocity for large course-changing.

Monitoring of Ship's Emergency Lighting System using PLM(SELP) (PLM을 이용한 선박 비상조명시스템의 모니터링)

  • Lim, Hyun-Jung;Yang, Hyun-Suk;Kim, Kun-Woo;Baek, Young-Jin;Lee, Sung-Geun;Kim, Yoon-Sik
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2006.06a
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    • pp.105-106
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    • 2006
  • In this paper we describe a driving, control and monitor of ship's emergency lighting system using power line modem.(PLM). Through this paper, experiment confirms that ON-OFF control of multiple SELP, real time transmission and monitor of parameters as to voltage, current, and power values are performed appropriately by PLM communication.

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A study of improvement of control performance of ship by fuzzy neutral network (퍼지 신경회로망에 의한 선박의 제어성능 개선에 관한 연구)

  • Kang, Chang-Nam
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.671-672
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    • 2008
  • Hybrid intelligent technique is used in ship steering control. It can make full use of the advantage of all kinds of intelligent algorithms. This provides an efficient way for this paper. An RBF neural network and GA optimization are employed in a fuzzy neural controller to deal with the nonlinearity, time varying and uncertain factors. Utilizing the designed network to substitute the conventional fuzzy inference, the rule base and membership functions can be auto-adjusted by GA optimization. The parameters of neural network can be decreased by using union-rule configuration in the hidden layer of the network. The ship control quality is effectively improved in case of appending additional sea state disturbance. The performance of controller is evaluated by the system simulation using Matlab.

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