Assessment of the Steering Precision of a Hydrographic USV along Sounding Profiles Using a High-Precision GNSS RTK Receiver Supported Autopilot

Unmanned Surface Vehicles (USV) are increasingly used to perform numerous tasks connected with measurements in inland waters and seas. One of such target applications is hydrography, where traditional (manned) bathymetric measurements are increasingly often realized by unmanned surface vehicles. This pertains especially to restricted or hardly navigable waters, in which execution of hydrographic surveys with the use of USVs requires precise maneuvering. Bathymetric measurements should be realized in a way that makes it possible to determine the waterbody’s depth as precisely as possible, and this requires high-precision in navigating along planned sounding profiles. This paper presents research that aimed to determine the accuracy of unmanned surface vehicle steering in autonomous mode (with a Proportional-Integral-Derivative (PID) controller) along planned hydrographic profiles. During the measurements, a high-precision Global Navigation Satellite System (GNSS) Real Time Kinematic (RTK) positioning system based on a GNSS reference station network (positioning accuracy: 1–2 cm, p = 0.95) and a magnetic compass with the stability of course maintenance of 1°–3° Root Mean Square (RMS) were used. For the purpose of evaluating the accuracy of the vessel’s path following along sounding profiles, the cross track error (XTE) measure, i.e., the distance between an USV’s position and the hydrographic profile, calculated transversely to the course, was proposed. The tests were compared with earlier measurements taken by other unmanned surface vehicles, which followed the exact same profiles with the use of much simpler and low-cost multi-GNSS receiver (positioning accuracy: 2–2.5 m or better, p = 0.50), supported with a Fluxgate magnetic compass with a high course measurement accuracy of 0.3° (p = 0.50 at 30 m/s). The research has shown that despite the considerable difference in the positioning accuracy of both devices and incomparably different costs of both solutions, the authors proved that the use of the GNSS RTK positioning system, as opposed to a multi-GNSS system supported with a Fluxgate magnetic compass, influences the precision of USV following sounding profiles to an insignificant extent.

[1]  Byung-Cheol Kum,et al.  Monitoring Applications for Multifunctional Unmanned Surface Vehicles in Marine Coastal Environments , 2018, Journal of Coastal Research.

[2]  Claudio Delrieux,et al.  Mapping Topobathymetry in a Shallow Tidal Environment Using Low-Cost Technology , 2020, Remote. Sens..

[3]  P. H. Gunawan,et al.  SMALL ROV MARINE BOAT FOR BATHYMETRY SURVEYS OF SHALLOW WATERS – POTENTIAL IMPLEMENTATION IN MALAYSIA , 2017 .

[4]  Cezary Specht,et al.  Road Tests of the Positioning Accuracy of INS/GNSS Systems Based on MEMS Technology for Navigating Railway Vehicles , 2020 .

[5]  Benjamin Simpson,et al.  The Autonomous Underwater Vehicle Integrated with the Unmanned Surface Vessel Mapping the Southern Ionian Sea. The Winning Technology Solution of the Shell Ocean Discovery XPRIZE , 2020, Remote. Sens..

[6]  James G Bellingham,et al.  Robotics in Remote and Hostile Environments , 2007, Science.

[7]  David Brčić,et al.  Navigation with ECDIS: Choosing the Proper Secondary Positioning Source , 2015 .

[8]  Kirill Kiselev,et al.  Design and construction of the Cadet-M unmanned marine platform using alternative energy , 2019, E3S Web of Conferences.

[9]  Alexandre M. Amory,et al.  A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions , 2019, Sensors.

[10]  Zbigniew Siejka,et al.  Validation of the Accuracy and Convergence Time of Real Time Kinematic Results Using a Single Galileo Navigation System , 2018, Sensors.

[11]  M. Wąż,et al.  Methodology for Performing Territorial Sea Baseline Measurements in Selected Waterbodies of Poland , 2019, Applied Sciences.

[12]  Wei Liu,et al.  Modeling and Experimental Testing of an Unmanned Surface Vehicle with Rudderless Double Thrusters , 2019, Sensors.

[13]  Hyeung-Sik Choi,et al.  Study on Control System of Integrated Unmanned Surface Vehicle and Underwater Vehicle , 2020, Sensors.

[14]  Cezary Specht,et al.  Testing GNSS receiver accuracy in Samsung Galaxy series mobile phones at a sports stadium , 2020, Measurement Science and Technology.

[15]  Zhixiang Liu,et al.  Unmanned surface vehicles: An overview of developments and challenges , 2016, Annu. Rev. Control..

[16]  Wenli Sun,et al.  Learning-Based Task Offloading for Marine Fog-Cloud Computing Networks of USV Cluster , 2019, Electronics.

[17]  João P. Hespanha,et al.  Trajectory-Tracking and Path-Following of Underactuated Autonomous Vehicles With Parametric Modeling Uncertainty , 2007, IEEE Transactions on Automatic Control.

[18]  Terry Moore,et al.  Is DGPS Still a Good Option for Mariners? , 2001, Journal of Navigation.

[19]  Cezary Specht,et al.  The Use of USV to Develop Navigational and Bathymetric Charts of Yacht Ports on the Example of National Sailing Centre in Gdańsk , 2020, Remote. Sens..

[20]  Jieru Chi,et al.  Speed and Heading Control of an Unmanned Surface Vehicle Based on State Error PCH Principle , 2018 .

[21]  Grządziel Artur,et al.  Experience with the use of a rigidly-mounted side-scan sonar in a harbour basin bottom investigation , 2015 .

[22]  Md. Mahmudul Hasan,et al.  Investigation of Most Ideal GNSS Framework (GPS, GLONASS and GALILEO) for Asia Pacific Region (Bangladesh) , 2017 .

[23]  Francesco Giordano,et al.  Integrating Sensors into a Marine Drone for Bathymetric 3D Surveys in Shallow Waters , 2015, Sensors.

[24]  Pawel Piskur,et al.  The Compass Error Comparison of an Onboard Standard Gyrocompass, Fiber-Optic Gyrocompass (FOG) and Satellite Compass , 2019, Sensors.

[25]  David Brčić,et al.  Zone of Confidence Impact on Cross Track Limit Determination in ECDIS Passage Planning , 2020 .

[26]  Pietro P. C. Aucelli,et al.  Sensing the Submerged Landscape of Nisida Roman Harbour in the Gulf of Naples from Integrated Measurements on a USV , 2018, Water.

[27]  Andrzej Stateczny,et al.  Accuracy of Trajectory Tracking Based on Nonlinear Guidance Logic for Hydrographic Unmanned Surface Vessels , 2020, Sensors.

[28]  Cezary Specht,et al.  Assessment of the Steering Precision of a Hydrographic Unmanned Surface Vessel (USV) along Sounding Profiles Using a Low-Cost Multi-Global Navigation Satellite System (GNSS) Receiver Supported Autopilot , 2019, Sensors.

[29]  Marek Dziewicki,et al.  Position accuracy evaluation of the modernized Polish DGPS , 2009 .

[31]  Quan Li,et al.  Iterative Learning-Based Path and Speed Profile Optimization for an Unmanned Surface Vehicle , 2020, Sensors.

[32]  Shijie Li,et al.  State-of-the-Art Research on Motion Control of Maritime Autonomous Surface Ships , 2019 .

[33]  Krzysztof Naus,et al.  Use of a Weighted ICP Algorithm to Precisely Determine USV Movement Parameters , 2019 .

[34]  Andrzej Wilk,et al.  Testing the Positioning Accuracy of GNSS Solutions during the Tramway Track Mobile Satellite Measurements in Diverse Urban Signal Reception Conditions , 2020 .

[35]  Shixuan Li,et al.  Path Following of a Water-Jetted USV Based on Maneuverability Tests , 2020 .

[36]  L. Bastos,et al.  Monitoring Sandy Shores Morphologies by DGPS—A Practical Tool to Generate Digital Elevation Models , 2008 .

[37]  Elżbieta Protaziuk,et al.  Geometric Aspects of Ground Augmentation of Satellite Networks for the Needs of Deformation Monitoring , 2016 .

[38]  Cezary Specht,et al.  A New Method for Determining the Territorial Sea Baseline Using an Unmanned, Hydrographic Surface Vessel , 2019, Journal of Coastal Research.

[39]  K. D. Do,et al.  Global tracking control of underactuated ships with nonzero off-diagonal terms in their system matrices , 2005, Autom..

[40]  Cezary Specht,et al.  Comparative analysis of positioning accuracy of Samsung Galaxy smartphones in stationary measurements , 2019, PloS one.

[41]  Andrzej Wilk,et al.  The Accuracy of a Marine Satellite Compass under Terrestrial Urban Conditions , 2019 .

[42]  Andrzej Stateczny,et al.  Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation , 2019, ISPRS Int. J. Geo Inf..