Combined Positioning Method of Port AGV based on Beidou Difference and Inertial Navigation Technology

With the development of port construction and Automated Terminals, the AGV positioning technology of current ports is single and the perception and understanding of the external environment is insufficient, which directly affecting the operation efficiency of ports. The combined positioning method of Beidou difference and inertial navigation of port AGV is studied, which combining with the actual environment of ports, kalman filter and weighted average algorithm are used to fuse positioning data, and good fusion results are achieved. The combined positioning experiment is designed, and the experimental results show that the precision of the combined positioning method is better than the Beidou difference and inertial navigation alone, which can meet the high precision positioning requirements of the AGV in ports. The feasibility of the combined positioning method is demonstrated, and the real-time high precision positioning of port AGV is realized.

[1]  Hang Guo,et al.  Kalman filtering for GPS/magnetometer integrated navigation system , 2010 .

[2]  Falin Wu,et al.  A BeiDou weak signal acquisition method with INS-aiding , 2017, 2017 IEEE International Conference on Imaging Systems and Techniques (IST).

[3]  Roman S. Kulikov,et al.  Navigation of vehicle in urban canyon via two-satellite GNSS and map aiding , 2017, 2017 Dynamics of Systems, Mechanisms and Machines (Dynamics).

[4]  Xiaohong Zhang,et al.  Timing group delay and differential code bias corrections for BeiDou positioning , 2015, Journal of Geodesy.

[5]  Stefania Bonafoni,et al.  The usefulness of the Global Navigation Satellite Systems (GNSS) in the analysis of precipitation events , 2016 .

[6]  Long Zhao,et al.  An Improved Robust Adaptive Kalman Filter for GNSS Precise Point Positioning , 2018, IEEE Sensors Journal.

[7]  G. Sasibhushana Rao,et al.  Extended Kalman Filter for GPS Receiver Position Estimation , 2018 .

[8]  A. V. Fomichev,et al.  On the strapdown INS accuracy assessment criteria upon flight test results , 2017, 2017 24th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS).

[9]  Itzik Klein,et al.  Analytic Evaluation of Fine Alignment for Velocity Aided INS , 2018, IEEE Transactions on Aerospace and Electronic Systems.

[10]  Pei Dong,et al.  Low-Cost INS Velocity Kalman Filtering Based on Rational Fitting , 2016, 2016 IEEE First International Conference on Data Science in Cyberspace (DSC).