题名 | Cloud Computing-Oriented Predictive Control for DC-DC Buck Converters |
作者 | |
DOI | |
发表日期 | 2022
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ISBN | 978-1-6654-6537-3
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会议录名称 | |
页码 | 687-692
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会议日期 | 19-20 Nov. 2022
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会议地点 | Beijing, China
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摘要 | Cloud computing can greatly improve the efficiency of power converters in renewable energy systems, this paper proposes a cloud computing-oriented control strategy. To realize cloud control for buck converters, a cloud-based structure is presented, which eliminates the need for a local controller. Further, a networked predictive control method is proposed for such architecture to actively compensate for the time delays caused by the communication network. The stability of the control scheme can be derived via the closed-loop system. Finally, the effectiveness of the cloud control methodology is verified by experiments in a prototype system. |
关键词 | |
学校署名 | 其他
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相关链接 | [IEEE记录] |
来源库 | IEEE
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全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10023673 |
引用统计 |
被引频次[WOS]:0
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成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/427321 |
专题 | 工学院_电子与电气工程系 |
作者单位 | 1.School of Electrical Engineering and Automation, Wuhan University, Wuhan, China 2.Department of Electronic and Electrical Engineering, Southern University of Science and Technology, Shenzhen, China |
推荐引用方式 GB/T 7714 |
Xiaoran Dai,Guo-Ping Liu,Wenshan Hu,et al. Cloud Computing-Oriented Predictive Control for DC-DC Buck Converters[C],2022:687-692.
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条目包含的文件 | 条目无相关文件。 |
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