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INS/GPS Tightly-Coupled Navigation Algorithm Using the Extended Kalman Filter for Crab-Cultivating Ship
Current Issue
Volume 5, 2018
Issue 1 (March)
Pages: 1-8   |   Vol. 5, No. 1, March 2018   |   Follow on         
Paper in PDF Downloads: 66   Since May 18, 2018 Views: 1160   Since May 18, 2018
Authors
[1]
Xueyan Sun, Department of Automation, Jiangsu University, Zhenjiang, China.
[2]
Tianhong Pan, Department of Automation, Jiangsu University, Zhenjiang, China.
[3]
Mian Khuram Ahsan, Department of Automation, Jiangsu University, Zhenjiang, China.
Abstract
The moving area of the crab-farming ship is small. Using the GPS satellite navigation or the INS inertial navigation system separately cannot satisfy the requirement of the positioning accuracy. To overcome this issue, an INS/GPS tightly-coupled navigation is proposed in this paper, which takes the satellite’s pseudo-range and pseudo-range-rate as observed variables. To regulate its trajectory, the mathematical model of the tightly-coupled system is established according to the current attitude information of the aquaculture ship. The data is fused by using the extended Kalman filter algorithm, and the navigation accuracy is improved. Compared with the traditional INS/GPS loosely-coupled module, the proposed algorithm achieves a high positioning accuracy and meets the designed requirements.
Keywords
Crab Farming, Navigation, GPS/INS Tightly-Coupled, Extended Kalman Filter
Reference
[1]
Zhao D, Luo J, Sun Y, et al. Design and experiment of navigation control system of automatic operation boat in river crab culture [J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32 (11): 181-188.
[2]
Meng X, Huang J, Xie Q. Online monitoring equipment for aquaculture based on unmanned automatic cruise boat [J]. Transactions of the Chinese Society for Agricultural Machinery, 2015, 46 (3): 276-281.
[3]
Zheng X, Fu M. SINS/GPS tightly-coupled integrated navigation [J]. Journal of Chinese Inertial Technology, 2011, 19 (1): 33-37.
[4]
Zhou K, Kong J, Zhou X. Analysis on modular navigation ability of coupling GPS/INS [J]. Journal of Chinese Inertial Technology, 2005, 13 (6): 50-53.
[5]
Zhou X. The Performance comparison between loose coupling and tight coupling of GPS/INS integrated navigation system [J]." Avionics Technology, 2007, 38 (4): 1-6.
[6]
Sun Y, Zhao D, Hong J. Trajectory planning and test for all coverage, automatic and uniform feeding in river crab aquaculture [J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32 (18): 190-200.
[7]
Gao J, Han H, Bai J. Analysis of Loose Coupling and Tight Coupling of GPS/INS Integrated Navigation System [J]. Journal of Ordnance Equipment Engineering, 2011, 32 (10): 92-96.
[8]
Zhao D, Lou J, Sun Y. Design and experiment of navigation control system of automatic operation boat in river crab culture [J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32 (11): 181-188.
[9]
Liu H, Zhao D, Sun Y. Control system for automatic aquatic plant cleaning ship [J]. Transactions of the Chinese Society of Agricultural Machinery, 2014, 45 (SI): 281-286.
[10]
Zhang G, Xu X. Implementation of tightly coupled GPS/INS navigation algorithm on DSP [C]. Computer Design and Applications. IEEE, 2010: 130-134.
[11]
Budiyono A. Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems [J]. Industrial Robot, 2013, 67 (3): 191-192.
[12]
Bonnor N. Principles of GNSS, Inertial, and Multisensor Integrated Navigation System-Second Edition Paul D. Groves Artech House [J]. Journal of Navigation, 2014, 67 (1): 191-192.
[13]
Li Z, Gao J, Yao Y, et al. GPS/INS tightly-coupled navigation with multipath correction algorithm [J]. Journal of Chinese Inertial Technology, 2014, 22 (6): 782-787.
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