中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
UKF-based parameter estimation method for precise UUV navigation

文献类型:会议论文

作者Lin CL(林昌龙); Feng XS(封锡盛); Li YP(李一平)
出版日期2010
会议名称20th International Offshore and Polar Engineering Conference, ISOPE-2010
会议日期June 20-25, 2010
会议地点Beijing, China
关键词Autonomous underwater vehicles Gyroscopes Kalman filters Metal analysis Navigation Nonlinear filtering Remotely operated vehicles Submersibles Underwater equipment Water craft
页码429-434
中文摘要This paper proposes a parameter estimation method for improving the navigation accuracy of an unmanned underwater vehicle, which is equipped with a doppler, a gyro, a depth sensor and a GPS, using an Unscented Kalman Filter (UKF). The error sources are analyzed, and then a kinematical model is constructed accordingly. Using an UKF, the doppler scaling factor and the rotational alignment offset between the doppler and gyro are accurately estimated. Simulations are carried out on a semi-physical platform and the result shows that the proposed method can effectively estimate these parameters. The effectiveness of the method is further verified by field experiments. Copyright © 2010 by The International Society of Offshore and Polar Engineers (ISOPE).
收录类别EI
产权排序1
会议主办者International Society of Offshore and Polar Engineers (ISOPE); China National Offshore Oil Corporation (CNOOC); SK Energy
会议录Proceedings of the International Offshore and Polar Engineering Conference
会议录出版者International Society of Offshore and Polar Engineers
会议录出版地Cupertino, CA
语种英语
ISSN号1098-6189
ISBN号978-1-88065-377-7
源URL[http://ir.sia.cn/handle/173321/7857]  
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
Lin CL,Feng XS,Li YP. UKF-based parameter estimation method for precise UUV navigation[C]. 见:20th International Offshore and Polar Engineering Conference, ISOPE-2010. Beijing, China. June 20-25, 2010.

入库方式: OAI收割

来源:沈阳自动化研究所

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