• Title/Summary/Keyword: Sub-Trolley

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A Design and Characteristics Analysis of High Efficiency Gantry Crane (고효율 갠트리 크레인 설계 및 성능분석)

  • 김경한;이영진;이진우;이권순
    • Journal of Korean Port Research
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    • v.14 no.4
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    • pp.395-406
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    • 2000
  • In this paper, an improved high efficiency gantry crane for container transportation is designed. The basic concept of the designed crane can be used with modification of the classical gantry crane instead of changing lots of them. This crane can reduce the cycle time more than the classical gantry carne. The high efficiency gantry crane can improve the productivity of the container transportation job because of reducing cycle time. The loading and unloading capability are compared with classical crane. The result show that show that the proposed crane has better performances than classical type.

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Design of a Model-Based Fuzzy Controller for Container Cranes (컨테이너 크레인을 위한 모델기반 퍼지제어기 설계)

  • Lee, Soo-Lyong;Lee, Yun-Hyung;Ahn, Jong-Kap;Son, Jeong-Ki;Choi, Jae-Jun;So, Myung-Ok
    • Journal of Navigation and Port Research
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    • v.32 no.6
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    • pp.459-464
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    • 2008
  • In this paper, we present the model-based fuzzy controller for container cranes which effectively performs set-point tracking control of trolley and anti-swaying control under system parameter and disturbance changes. The first part of this paper focuses on the development of Takagi-Sugeno (T-S) fuzzy modeling in a nonlinear container crane system. Parameters of the membership functions are adjusted by a RCGA to have same dynamic characteristics with nonlinear model of a container crane. In the second part, we present a design methodology of the model-based fuzzy controller. Sub-controllers are designed using LQ control theory for each subsystem in fuzzy model and then the proposed controller is performed with the combination of these sub-controllers by fuzzy IF-THEN rules. In the results of simulation, the fuzzy model showed almost similar dynamic characteristics compared to the outputs of the nonlinear container crane model. Also, the model-based fuzzy controller showed not only the fast settling time for the change in parameter and disturbance, but also stable and robust control performances without any steady-state error.