Adaptive navigation systems for an unmanned surface vehicle

作     者：Sutton, R. Sharma, S. 

作者机构：Marine and Industrial Dynamic Analysis Research Group Advanced Materials and Engineering Systems School of Marine Science and Engineering Plymouth University United Kingdom New and Renewable Energy Group School of Engineering and Computing Sciences Durham University United Kingdom 

出 版 物：《Proceedings of the Institute of Marine Engineering, Science and Technology Part A: Journal of Marine Engineering and Technology》 (Proc. Inst. Mar. Eng. Sci. Technol. Part A J. Mar. Eng. Technol.)

年 卷 期：2011年第10卷第3期

页      面：3-20页

核心收录：

主　　题：Unmanned surface vehicles 

摘      要：This paper reports the design of two potential navigation systems for use in an unmanned surface vehicle (USV) named *** approaches adopted are based on fuzzy multisensor data fusion (MSDF) and multiple model adaptive estimation (MMAE) algorithms with adaptive capabilities. A general description of the Springer USV is given along with details of its navigation sensor suite. Of particular interest are the three different types of electronic compass used to supply heading information. Using a system identification technique, state space models of the compasses are derived for use in a simulation study to compare the navigation systems. From the results presented, it is concluded the fuzzy MSDF algorithm is better than the MMAE methodology in terms of heading (yaw error) accuracy and robustness.