中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Identification state feedback control for the depth control of the studied underwater semi-submersible vehicle

文献类型:会议论文

作者Zhou HY(周焕银); Li YP(李一平); Hu ZQ(胡志强); Li W(李为)
出版日期2015
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
关键词unmanned semi-submersible vehicle identification control multi-model switching technology depth control sea trial
页码875-880
中文摘要This study focuses on the depth control of an unmanned semi-submersible vehicle (USV), the submersible depth of which should not exceed 3 meters to make the depth control performance robust to environmental disturbances. Depth control performance, including overshoot values and static state error of depth, should be limited within pre-determined limits; otherwise, a venture issue may occur in the USV system. Therefore, achieving the desired performance even with unexpected sea wave disturbances to the USV system remains a challenge. Moreover, some model parameters are unknown. The control parameters of the improved identification state feedback control are presented for the USV diving plane control. Lake trials are performed to validate that the suggested controller has good control performances and strong immunity to couple state surge speed and the lake environments.
收录类别EI ; CPCI(ISTP)
产权排序2
会议录2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISSN号2379-7711
ISBN号978-1-4799-8730-6
WOS记录号WOS:000380502300166
源URL[http://ir.sia.cn/handle/173321/18532]  
专题沈阳自动化研究所_水下机器人研究室
推荐引用方式
GB/T 7714
Zhou HY,Li YP,Hu ZQ,et al. Identification state feedback control for the depth control of the studied underwater semi-submersible vehicle[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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