A innovative semi-immergible USV (SI-USV) drone for marine and lakes operations with instrumental telemetry and acoustic data acquisition capability

The proposed project shows the results obtained in the implementation and testing in lacustrine and marine environment of a nautical remote controlled vehicle with surface navigation and innovative features Semi-Immersible (SI-USV). This vehicle is based on a pending patent belonging to Palermo University (Patent Pending RM2012A000209 and RM2012A000209) concerning innovative semi-immersible vehicles (SI-Drone), that can be remotely controlled from the ground, air, satellite and sea also during the semi-immersible operation. The vehicle with electric power is coupled with a jet propulsion, given the low draft, makes it possible to navigate in shallow waters or coastal shipping or sandbars. The SI-Drone is hosts for the radio or satellite communication equipment, the downloading and telemetering data equipment and the power supply for the propulsion and board instrumentation. This complete system SI-Drone can be solved the typical logistic problem occurring in very shallow water contexts (such as ports, rivers, lacustrine environment and marine coastal), where the low depth of the water column (generally less than 10 mt) present several challenges, including near-field effect and operability difficulties. Then, the proposed system can be used for applications in the fields of ports, lakes monitoring, organic fish-marine, hydrography, geology / geophysics, oceanography, underwater acoustics and environmental monitoring with particular attention to climate change impact indicators. The procedures applied in the present article, as well as the main equations used, are the result of previous applications made in different technical fields that show a good replicability (1-4, 14, 18-20).

[1]  J.E. Manley,et al.  Unmanned surface vehicles, 15 years of development , 2008, OCEANS 2008.

[2]  M. Trapanese,et al.  Design and Performance of a High Temperature Superconducting Axial Flux Generator , 2013, IEEE Transactions on Magnetics.

[3]  M.R. Benjamin,et al.  COLREGS-based navigation of autonomous marine vehicles , 2004, 2004 IEEE/OES Autonomous Underwater Vehicles (IEEE Cat. No.04CH37578).

[4]  Maurizio Melluso,et al.  Hierarchical fuzzy/Lyapunov control for horizontal plane trajectory tracking of underactuated AUV , 2010, 2010 IEEE International Symposium on Industrial Electronics.

[5]  Marco Bibuli,et al.  Unmanned Surface Vehicle for Coastal and Protected Waters Applications: the Charlie Project , 2007 .

[6]  H. Chen,et al.  Design of bilateral Switched Reluctance linear generator , 2010, 2010 IEEE Electrical Power & Energy Conference.

[7]  Justin E. Manley,et al.  Evolution of the autonomous surface craft AutoCat , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[8]  J. Gomes,et al.  Robotic ocean vehicles for marine science applications: the European ASIMOV project , 2000, OCEANS 2000 MTS/IEEE Conference and Exhibition. Conference Proceedings (Cat. No.00CH37158).

[9]  Massimo Caccia,et al.  Unmanned underwater vehicles for scientific applications and robotics research : The ROMEO project , 2000 .

[10]  S. J. Corfield,et al.  Unmanned surface vehicles - game changing technology for naval operations , 2006 .

[11]  V. Di Dio,et al.  Energy and Economic Comparison of Different Conditioning System among Traditional and Eco-Sustainable Building , 2013 .

[12]  Angelo Milone,et al.  A Procedure to Evaluate the Indoor Global Quality by a Sub Objective-Objective Procedure , 2013 .

[13]  Francesco Maria Raimondi,et al.  A new fuzzy robust dynamic controller for autonomous vehicles with nonholonomic constraints , 2005, Robotics Auton. Syst..

[14]  Francesco Maria Raimondi,et al.  Fuzzy motion control strategy for cooperation of multiple automated vehicles with passengers comfort , 2008, Autom..

[15]  J. Majohr,et al.  Modelling, simulation and control of an autonomous surface marine vehicle for surveying applications Measuring Dolphin MESSIN , 2006 .

[16]  Massimo Caccia,et al.  Sampling sea surfaces with SESAMO: an autonomous craft for the study of sea-air interactions , 2005, IEEE Robotics & Automation Magazine.

[17]  Jason Lum,et al.  Applying unmanned ground vehicle technologies to unmanned surface vehicles , 2005, SPIE Defense + Commercial Sensing.

[18]  Francesco Maria Raimondi,et al.  Fuzzy/Kalman Hierarchical Horizontal Motion Control of Underactuated ROVs , 2010 .