中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive control of unmanned surface vessels matching an optimized reference model

文献类型:会议论文

作者Yang CG(杨辰光); Cui RX(崔荣鑫); Li ZJ(李智军); Sharma, Sanjay; Zhao XG(赵新刚)
出版日期2014
会议名称2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
会议日期December 5-10, 2014
会议地点Bali, Indonesia
页码2232-2237
通讯作者杨辰光
中文摘要In this paper, adaptive control of unmanned marine surface vessel has been investigated in the presence of uncertain dynamics as well as external disturbance. Variable structure technique has been utilized in the control design to make the dynamic response and desired motion tracking as quickly as possible. In practice, usually the desired trajectories are given as step points, such that direct immediate tracking would cause large acceleration and huge control effort, while the latter may be out of the actuators' limitation. Therefore, a reference model approach is employed, such that instead of direct tracking of the desired set point, the control objective becomes to shape the closed-loop dynamics to match a reference model. The reference model is built using optimization technique which tries to minimizes both tracking error and motion acceleration, and subsequently control effort. The smooth tracking is thus guaranteed in an optimal manner.
收录类别EI ; CPCI(ISTP)
产权排序5
会议主办者Harbin Institute of Technology; IEEE Robotics and Automation Society; National University of Defense Technology; Shenzhen Institutes of Advanced Technology, CAS; State Key Laboratory of Robotics and Systems
会议录2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4799-7396-5
WOS记录号WOS:000380399500372
源URL[http://ir.sia.ac.cn/handle/173321/16116]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Yang CG,Cui RX,Li ZJ,et al. Adaptive control of unmanned surface vessels matching an optimized reference model[C]. 见:2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014. Bali, Indonesia. December 5-10, 2014.

入库方式: OAI收割

来源:沈阳自动化研究所

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