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Abstract Ships and offshore structures are constructed by joining several parts called blocks, which are the basic unit for production in the shipyard. The block erection operation includes block lifting, turnover, and lowering procedure, and generally conducted by cranes such as gantry crane. During the operation, the position and the orientation of the block should be precisely controlled by the crane to avoid any potential risks such as collision. However, the control of the gantry crane, which consists of crane girder, upper and lower trolleys, and several hooks is a challenging problem as it is an underactuated mechanical system. The underactuated mechanical system has a lower number of control inputs than the degrees of freedom, and many traditional non-linear control methods are not directly applicable to the control problem of inverse dynamics. In this study, the trajectory tracking control for the block erection and turn-over operation by the gantry crane is simulated. For the trajectory tracking control, the desired system outputs are modeled as servo constraints, and the differential algebraic equations (DAEs) for the underactuated system are formulated using the constraints. Then, the index reduction by the minimal extension method is adopted to reduce the index of the DAEs for stable numerical integration. Finally, the control method is applied to the multibody dynamics formulation, and the simulation based on the multibody dynamics is performed for the block erection and turn-over operation. The results show that the motion of the block is successfully controlled to the target trajectory during the operation.
Publication Date 2019-08-29
Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Control of the Underactuated Gantry Crane for the Block Erection Operation in the Shipyard", MIM(Manufacturing Modelling, Management and Control) 2019, Berlin, Germany, 2019.08.28-30

  1. Jisang Ha, Myung-Il Roh, Jong-Hyeok Lee, Jin-Hyeok Kim, Min-Chul Kong, Seung-Ho Ham, "Integrated Ship Remote Operating System Based on Digital Twin Technology", Proceedings of TEAM 2019, Tainan, Taiwan, pp. 106, 2019.10.14-17

  2. Luman Zhao, Myung-Il Roh, Hye-Won Lee, Do-Hyun Chun, Sung-Jun Lee, "A Collision Avoidance Method of Multi-ships Based on Deep Reinforcement Learning Considering COLREGs," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 85-88, 2019.09.24-26

  3. Do-Hyun Chun, Myung-Il Roh, Hye-Won Lee, Seung-Ho Ham, "A Crane Movement Control for Stability of Block Erection Based on Deep Reinforcement Learning", MIM 2019, Berlin, Germany, 2019.08.28-30

  4. Do-Hyun Chun, Myung-Il Roh, Seung-Ho Ham, Hoon-Kyu Oh, Sang-Ok Lee, "Optimum Layout Design of Wedges of Panel for an LNG Tank Considering Amount of Resin Ropes", Proeedings of ISOPE 2019, Honolulu, Hawaii, pp. 1289-1292, 2019.06.16-21

  5. Min-Jae Oh, Myung-Il Roh, Young-Soo Seok, and Sung-Jun Lee, "Optimization of a Ship Hull Form using Deep Learning", Proceedings of ACDDE 2019, Penang, Malaysia, 2019.07.07-10

  6. Sung-Jun Lee, Myung-Il Roh, Min-Jae Oh, Youngsoo Seok, Won-Jae Lee, June-Beom Lee, Hyun Soo Kim, "Image-based Object Detection and Tracking Method for Ship Navigation," Proceedings of ICCAS 2019, Rotterdam, Netherlands, pp. 89-92, 2019.09.24-26

  7. Jong-Hyeok Lee, Myung-Il Roh, Jin-Hyeok Kim, Sung-Jun Lee, Seung-Ho Ham, "Development of a Ship Navigation Simulator Based on Digital Twin Technology", Proceedings of ACDDE 2019, Penang, Malaysia, pp. 245, 2019.07.07-10

  8. No Image 11Apr
    by SyDLab
    in International Conference

    Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, "Control of the Underactuated Gantry Crane for the Block Erection Operation in the Shipyard", MIM 2019, Berlin, Germany, 2019.08.28-30

  9. Hye-Won Lee, Myung-Il Roh, Ki-Su Kim, Kuk-Jin Kang, Seong-Yeob Jung, "Arctic Sea Route Planning Based on POLARIS Rule", Proceedings of ISOPE 2019, Honolulu, Hawaii, pp. 875-877, 2019.06.16-21

  10. Hye-Won Lee, Myung-Il Roh, Seung-Ho Ham, Do-Hyun Chun, "Controller Design of a Gantry Crane for the Safe Erection of Blocks in Shipyards", Proceedings of PRADS 2019, Yokohama, Japan, 2019.09.22-26

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