An improved integrated navigation method based on RINS, GNSS and kinematics for port heavy-duty AGV

The current navigation methods for port heavy-duty automated guided vehicle mainly include the antenna radar-transponder navigation and the global navigation satellite system. However, the former has a huge cost and the latter will generate multi-path error easily. To avoid these problems, an improved integrated navigation method based on single-axis rotating inertial navigation system, global navigation satellite system and kinematics is proposed. First, the rotating inertial navigation system/ global navigation satellite system and rotating inertial navigation system/Kinematics integrated navigation methods generate corresponding estimates and filtering error covariances through their respective extended Kalman filter filters, and then the two sets of results are fused by the optimal weighted voting fusion method. The proposed method is applied to a heavy-duty automated guided vehicle for engineering verification. Without multi-path error, the navigation accuracy is 1.8–2.98 times higher than that of the traditional global navigation satellite system navigation. In the case of multi-path error, the improved method still has high fault tolerance and high navigation accuracy. The accuracy of this method satisfies the requirements of port heavy-duty automated guided vehicle, which can greatly reduce the number of transponders and has high practical value.

[1]  Naser El-Sheimy,et al.  A New Velocity Meter Based on Hall Effect Sensors for UAV Indoor Navigation , 2019, IEEE Sensors Journal.

[2]  Feng Liu,et al.  Regional path moving horizon tracking controller design for autonomous ground vehicles , 2016, Science China Information Sciences.

[3]  Yang Gao,et al.  Integration of GNSS and MEMS-Based Rotary INS for Bridging GNSS Outages , 2015 .

[4]  Yongsheng Yang,et al.  An integrated scheduling method for AGV routing in automated container terminals , 2018, Comput. Ind. Eng..

[5]  René Landry,et al.  Observability of satellite launcher navigation with INS, GPS, attitude sensors and reference trajectory , 2018 .

[6]  Zhimin Chen,et al.  Position Estimation of Automatic-Guided Vehicle Based on MIMO Antenna Array , 2018, Electronics.

[7]  Yu-Hsiu Chen,et al.  Toward semantic loop closure in simultaneous localization and mapping systems , 2018, Optical Engineering + Applications.

[8]  Yuanxin Wu,et al.  Velocity/Position Integration Formula Part I: Application to In-Flight Coarse Alignment , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[9]  Zhuang Fu,et al.  Multi-channel signal transmission method of non-contact slip ring based on capacitive coupling and quasi-time division multiplexing. , 2019, The Review of scientific instruments.

[10]  Yuanxin Wu,et al.  Velocity/Position Integration Formula Part II: Application to Strapdown Inertial Navigation Computation , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Hanlin Sheng,et al.  MEMS-based low-cost strap-down AHRS research , 2015 .

[12]  Hugh F. Durrant-Whyte,et al.  An Autonomous Guided Vehicle for Cargo Handling Applications , 1995, ISER.

[13]  Lingcao Wang,et al.  Online self-calibration research of single-axis rotational inertial navigation system , 2018, Measurement.

[14]  Yuanxin Wu,et al.  Velocity/Position Integration Formula (II): Application to Inertial Navigation Computation , 2012, ArXiv.

[15]  Jian-hua Cheng,et al.  A New Technique for Integrating MEMS-Based Low-Cost IMU and GPS in Vehicular Navigation , 2016, J. Sensors.

[16]  Lei Wang,et al.  Enhanced Multi-sensor Data Fusion Methodology based on Multiple Model Estimation for Integrated Navigation System , 2018 .

[17]  Dacheng Xu,et al.  In-Motion Coarse Alignment Method for SINS/GPS Using Position Loci , 2019, IEEE Sensors Journal.

[18]  Zhijian Ding,et al.  An improved multi-position calibration method for low cost micro-electro mechanical systems inertial measurement units , 2015 .

[19]  Jianping Hu,et al.  An INS-UWB Based Collision Avoidance System for AGV , 2019, Algorithms.

[20]  Wen Hu,et al.  Initial Attitude Impact on Error Propagation of Single-axis Rotation Inertial Navigation System , 2017 .

[21]  Xiaoji Niu,et al.  Tight Fusion of a Monocular Camera, MEMS-IMU, and Single-Frequency Multi-GNSS RTK for Precise Navigation in GNSS-Challenged Environments , 2019, Remote. Sens..

[22]  Y. Qin,et al.  MEMS rotary strapdown INS with low-resolution rotary encoder , 2016 .

[23]  John Weston,et al.  Strapdown Inertial Navigation Technology , 1997 .

[24]  Mamoun F. Abdel-Hafez,et al.  Estimating Vehicle State by GPS/IMU Fusion with Vehicle Dynamics , 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).

[25]  Hugh F. Durrant-Whyte,et al.  A high integrity IMU/GPS navigation loop for autonomous land vehicle applications , 1999, IEEE Trans. Robotics Autom..

[26]  Lingling Xu,et al.  MEMS-based rotary strapdown inertial navigation system , 2013 .

[27]  Jacek Kozyra,et al.  Technological Process of Spreading Coatings Over Structural Details of Automated Guided Vehicles Used for Relocation of the Containers , 2018 .

[28]  Wei Gao,et al.  Research on the dynamic error of strapdown inertial navigation system , 2008, 2008 IEEE International Conference on Mechatronics and Automation.