A newly developed hybrid underwater robotic vehicle (HURV): Communication design and tests

The paper presents a real-time and reliable communication system for a newly developed hybrid underwater robotic vehicle (HURV). The surface monitoring station of the HURV is linked with the onboard underwater control system by a fine and neutral buoyance fiber, which enables the state monitoring and tele-operation mode of the vehicle based on the industrial Ethernet Modbus/TCP via the fiber-optic communication channel. The detailed implementation procedure of the Modbus/TCP protocol is presented, and the real-time performance of the communication system is analyzed. Finally, the dedicated communication design of the HURV is tested in the tank, and the results of the long-time running test show the satisfactory performance of the communication design of the HURV.

[1]  Fumin Zhang,et al.  Future Trends in Marine Robotics [TC Spotlight] , 2015, IEEE Robotics & Automation Magazine.

[2]  C. Taylor,et al.  Field Tests of the Hybrid Remotely Operated Vehicle (HROV) Light Fiber Optic Tether , 2006, OCEANS 2006.

[3]  Ying Chen,et al.  Design of a Newly Developed Hybrid Underwater Robotic Vehicle , 2015 .

[4]  Fumin Zhang,et al.  Future Trends in Marine Robotics , 2015 .

[5]  Claudiu Chiculita,et al.  Towards multi-port Modbus gateway , 2013, 2013 4th International Symposium on Electrical and Electronics Engineering (ISEEE).

[6]  Anthony Ephremides,et al.  Queueing Delay Analysis for Multicast With Random Linear Coding , 2012, IEEE Transactions on Information Theory.

[7]  Khac Duc Do,et al.  Control of Ships and Underwater Vehicles: Design for Underactuated and Nonlinear Marine Systems , 2009 .

[8]  Thor I. Fossen,et al.  Path following of underwater robots using Lagrange multipliers , 2015, Robotics Auton. Syst..

[9]  Maja Matijasevic,et al.  Control architectures for autonomous underwater vehicles , 1997 .

[10]  Toshiharu Hasegawa,et al.  Transmission Delay and Channel Loading in Digital Data Dynamic Transmission Systems , 1966 .

[11]  Bruno Jouvencel,et al.  Smooth transition of AUV motion control: From fully-actuated to under-actuated configuration , 2015, Robotics Auton. Syst..

[12]  Lionel Lapierre,et al.  Hybrid underwater robotic vehicles: the state-of-the-art and future trends , 2015 .

[13]  Rayford B. Vaughn,et al.  A Retrofit Network Intrusion Detection System for MODBUS RTU and ASCII Industrial Control Systems , 2012, 2012 45th Hawaii International Conference on System Sciences.

[14]  Peter J. Auster,et al.  Use of AUVs to Inform Management of Deep-Sea Corals , 2014 .

[15]  Junku Yuh,et al.  Development of a real-time control architecture for a semi-autonomous underwater vehicle for intervention missions , 2004 .

[16]  Michael R. Benjamin,et al.  Autonomous Underwater Vehicles: Trends and Transformations , 2005 .

[17]  R. McCabe,et al.  The Nereus hybrid underwater robotic vehicle for global ocean science operations to 11,000m depth , 2008, OCEANS 2008.

[18]  Jie Pan,et al.  Control of Ships and Underwater Vehicles , 2009 .

[19]  Vladimír Oplustil,et al.  Distributed CAN based control system for robotic and airborne applications , 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

[20]  Qin Zhang,et al.  Path-Following Control of an AUV: Fully Actuated Versus Under-actuated Configuration , 2016 .

[21]  Joel J. P. C. Rodrigues,et al.  Real-time query processing optimization for cloud-based wireless body area networks , 2014, Inf. Sci..

[22]  H. W. Shim,et al.  Workspace control system of underwater tele-operated manipulators on ROVs , 2009, OCEANS 2009-EUROPE.