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최소 단어 이상 선택하여야 합니다.
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선택한 단어 수는 30입니다.
최대 10 단어까지만 선택 가능합니다.
최대 10 단어까지만 선택 가능합니다.
제안 방법
- As part of studies on establishing intelligent ship, this study used miniature steering control system of a real one to establish TCP/IP-based intelligent steering control system. The study employs LIBL system using natural language based on human learning methods to examine efficiency of the system in order to establish intelligent steering control system.
- The study employs LIBL system using natural language based on human learning methods to examine efficiency of the system in order to establish intelligent steering control system. In terms of specific findings, this study suggested the network composition and linguistic instruction method to remotely control steering gear, used fuzzy inference to establish steering maneuvering model based on a common experience of steersman, and suggested evaluation rules to amend the rules of steersman's maneuvering model. Moreover, it set up miniature steering control system to remotely control rudder through the network to establish remote steering control system by linguistic instruction, and identified the possible applicability of the system by comparing and analyzing FURuNo FAP-330 system.
- In this paper, as a base study to realize a next-generation intelligent ship, this study will seek ways to put ship steering system to practical use by establishing intelligent steering control system that enables network-based remote monitoring and control. The specific study methods are as follows:
- In this paper, the system's task is actually performed, and it includes Performance Knowledge and Kinematics Module corresponding to a controller and a plant respectively in a control system. In case of the steering control system, the Performance Knowledge and Kinematics Module are in response to the steersman control model and ship dynamics respectively.
- In terms of specific findings, this study suggested the network composition and linguistic instruction method to remotely control steering gear, used fuzzy inference to establish steering maneuvering model based on a common experience of steersman, and suggested evaluation rules to amend the rules of steersman's maneuvering model. Moreover, it set up miniature steering control system to remotely control rudder through the network to establish remote steering control system by linguistic instruction, and identified the possible applicability of the system by comparing and analyzing FURuNo FAP-330 system.
- Moreover, more accurate establishment of intelligent control system is also required by considering the factors influencing steering since this study did not consider the exterior environmental impact factors to ship steering such as wind, wave, and weather conditions, and it is essential to conduct studies accompanying tests on real ships rather than miniature steering control system.
- intelligent steering control system. The study employs LIBL system using natural language based on human learning methods to examine efficiency of the system in order to establish intelligent steering control system. In terms of specific findings, this study suggested the network composition and linguistic instruction method to remotely control steering gear, used fuzzy inference to establish steering maneuvering model based on a common experience of steersman, and suggested evaluation rules to amend the rules of steersman's maneuvering model.
대상 데이터
- in figure 10. The system consists of a miniature ship, hydraulic power steering system structure, an autopilot system, and PC to control ship's rudder.
이론/모형
- singleton. Mamdani's inference method was used for inference method. The center of gravity (COG) method was used as the defuzzification method [5-7].
- Mamdani's inference method was used for inference method. The center of gravity (COG) method was used as the defuzzification method [5-7].
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