Dynamic analysis of the Cable-Driven Anti-swing System for slender payload lifting in the offshore environment

有效载荷(计算) 摇摆 钟摆 双摆 工程类 MATLAB语言 海洋工程 振动 钥匙(锁) 计算机科学 模拟 机械工程 倒立摆 计算机安全 网络数据包 非线性系统 物理 操作系统 量子力学
作者
Maokai Sun,Shenghai Wang,Guangdong Han,Jie Guan,Yunlong Li,Haiquan Chen,Yuqing Sun
出处
期刊:Ships and Offshore Structures [Informa]
卷期号:: 1-13
标识
DOI:10.1080/17445302.2023.2247844
摘要

ABSTRACTThe slender payload lifting is inefficient and comes with high risk in rough sea conditions. Thus it is not easy to achieve precise assembly. This paper presents a Cable-Driven Anti-swing System (CDAS) for slender payload lifting in the offshore environment. The CDAS for offshore slender payload lifting is simplified as a constrained double-pendulum system with moving base excitations. Further, the dynamic characteristics are simulated and analysed by Matlab/Simulink. The CDAS has a good vibration suppression effect on the first stage pendulum, and it has a specific vibration suppression effect on the second stage pendulum as well under setting conditions. The experimental results show that the simulation curve of the hook and the slender payload is consistent with the experimental results, which verifies the accuracy of the dynamic model. The research results of this paper can provide a theoretical basis for the anti-swing control of the double-pendulum system like slender payload.KEYWORDS: Slender payloaddynamicsdouble-pendulum systemanti-swing Disclosure statementNo potential conflict of interest was reported by the author(s).Statements & declarationsFunding: This work was supported by [the National Natural Science Foundation of China (Project No. 52101396), the National Key Research and Development Program of China (Project No. 2018YFC0309003), the Dalian Innovation Team support plan for key fields (2020RT09)].Competing Interests: The authors have no relevant financial or non-financial interests to disclose.Data Availability Statement: The data are available upon request due to restrictions, e.g. privacy or ethical. The data presented in this study are available upon request from the corresponding author. The data are not publicly available due to research group policy.Author Contributions: All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by [Maokai Sun], [ShengHai Wang], [GuangDong Han], [Guan Jie], [HaiQuan Chen], and [YuQing Sun]. The first draft of the manuscript was written by [Maokai Sun] and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.Additional informationFundingThis work was supported by Key Technologies Research and Development Program: [Grant Number 2018YFC0309003]; National Natural Science Foundation of China: [Grant Number 52101396]; Dalian High-Level Talent Innovation Program: [Grant Number 2020RT09].
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