THE RESEARCH ON CAB SIMULATOR OF QUAY CRANE CONTAINERS ON CLASSICAL WASHOUT ALGORITHM

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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eISSN: 1178-5608

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VOLUME 7 , ISSUE 1 (March 2014) > List of articles

THE RESEARCH ON CAB SIMULATOR OF QUAY CRANE CONTAINERS ON CLASSICAL WASHOUT ALGORITHM

Xiaowei Shi / Yiteng Xu / Youfang Huang / Houjun Lu

Keywords : Training Simulator, Proprioceptive Simulation Algorithm, Motion Platform, TDOF.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 1, Pages 239-262, DOI: https://doi.org/10.21307/ijssis-2017-654

License : (CC BY-NC-ND 4.0)

Received Date : 23-October-2013 / Accepted: 16-February-2014 / Published Online: 27-December-2017

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ABSTRACT

The acceleration of the speed of the quay crane for containers has raised a higher demand to the dynamic simulation system which is the key part of the simulator in the coast container crane. So it is very necessary to do this research on it. This essay, aimed at the seat motion system of training simulator in the coast container crane, lays a study on the key points in the design of the proprioceptive simulation algorithm of the bridge crane simulator and proposes the realization method for it. This method can help to find the most proper washout point and optimizes the fixed parameter so as to be able to improve the simulation fidelity by offering a better system. It also establishes the simulation model by MATLAB on the basis of which it operates the simulation calculation and analysis on a group of practical motion data. The result shows that this algorithm provides an effective way for the application of the TDOF simulator.

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