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Model predictive control for overhead crane with variable rope length

  • Xiaobin Qu
  • , Shujian Tang
  • , Yu Hou
  • , Minnan Piao
  • , Jiayi Zhi
  • China General Nuclear Power Group
  • Civil Aviation University of China
  • Nankai University

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Bridge cranes with rope length freedom are becoming more and more common in order to increase the operational efficiency of crane systems. In this paper, the Model Predictive Control (MPC) method is applied to an overhead crane system with variable rope lengths. Firstly, the dynamic model of the crane system is established and the state space equation of the system is constructed. Secondly, the model predictive controller is designed based on the optimal method. Finally, the effectiveness of the proposed method is verified through comparative experiments. The simulation results show that the proposed method effectively improves the positioning accuracy and load swing suppression ability of the system.

源语言英语
主期刊名Proceedings of 2025 International Conference on Artificial Intelligence and Smart Manufacturing, ICAISM 2025
出版商Association for Computing Machinery, Inc
240-244
页数5
ISBN(电子版)9798400714351
DOI
出版状态已出版 - 17 9月 2025
活动2025 International Conference on Artificial Intelligence and Smart Manufacturing, ICAISM 2025 - Chongqing, 中国
期限: 9 5月 202511 5月 2025

丛书

姓名Proceedings of 2025 International Conference on Artificial Intelligence and Smart Manufacturing, ICAISM 2025

会议

会议2025 International Conference on Artificial Intelligence and Smart Manufacturing, ICAISM 2025
国家/地区中国
Chongqing
时期9/05/2511/05/25

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