Survey on the novel hybrid aquatic–aerial amphibious aircraft: Aquatic unmanned aerial vehicle (AquaUAV)

Abstract The aquatic unmanned aerial vehicle (AquaUAV), a kind of vehicle that can operate both in the air and the water, has been regarded as a new breakthrough to broaden the application scenario of UAV. Wide application prospects in military and civil field are more than bright, therefore many institutions have focused on the development of such a vehicle. However, due to the significant difference of the physical properties between the air and the water, it is rather difficult to design a fully-featured AquaUAV. Until now, majority of partially-featured AquaUAVs have been developed and used to verify the feasibility of an aquatic–aerial vehicle. In the present work, we classify the current partially-featured AquaUAV into three categories from the scope of the whole UAV field, i.e., the seaplane UAV, the submarine-launched UAV, and the submersible UAV. Then the recent advancements and common characteristics of the three kinds of AquaUAVs are reviewed in detail respectively. Then the applications of bionics in the design of AquaUAV, the transition mode between the air and the water, the morphing wing structure for air–water adaptation, and the power source and the propulsion type are summarized and discussed. The tradeoff analyses for different transition methods between the air and the water are presented. Furthermore, it indicates that applying the bionics into the design and development of the AquaUAV will be essential and significant. Finally, the significant technical challenges for the AquaUAV to change from a conception to a practical prototype are indicated.

[1]  Robin R. Murphy,et al.  Cooperative use of unmanned sea surface and micro aerial vehicles at Hurricane Wilma , 2008 .

[2]  E J Rayfield,et al.  What makes an accurate and reliable subject-specific finite element model? A case study of an elephant femur , 2014, Journal of The Royal Society Interface.

[3]  Anthony J. Healey,et al.  Collaborative Unmanned Systems for Maritime and Port Security Operations , 2007 .

[4]  Alexandra H. Techet,et al.  Design considerations for a robotic flying fish , 2011, OCEANS'11 MTS/IEEE KONA.

[5]  Gregory Zink Computational studies on the effect of water impact on an unmanned air vehicle , 2008 .

[6]  Yi Jianqiang,et al.  Controller design for flying boats taking off from water with regular waves , 2012, 2012 IEEE International Conference on Mechatronics and Automation.

[7]  Koji Tsuyuki,et al.  Swimming behavior of small diving beetles , 2006 .

[8]  Mehmet Karamanoglu,et al.  Reconfigurable unmanned aerial vehicles , 2009 .

[9]  Chol-Bum Kweon,et al.  A Review of Heavy-Fueled Rotary Engine Combustion Technologies , 2011 .

[10]  Andrew Wick Computational Simulation of an Unmanned Air Vehicle Impacting Water , 2007 .

[11]  John Payne,et al.  Squid rocket science: How squid launch into air , 2013 .

[12]  Jianqiang Yi,et al.  Autonomous takeoff control system design for unmanned seaplanes , 2014 .

[13]  S C Burgess,et al.  Multi-modal locomotion: from animal to application , 2013, Bioinspiration & biomimetics.

[14]  Paul Marks Robot takes to the air on the wings of a fish , 2013 .

[15]  Paul Marks Bloodhound robot navigates by its sense of smell , 2013 .

[16]  Ella M. Atkins,et al.  Fault Detection and Fail-Safe Operation with a Multiple-Redundancy Air-Data System , 2010 .

[17]  Y. Naito,et al.  Between air and water: the plunge dive of the Cape Gannet Morus capensis , 2003 .

[18]  Ravi Vaidyanathan,et al.  Quantification of the benefits of a compliant foil for underwater flapping wing propulsion , 2011, 2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

[19]  Jeremy J. Hatch,et al.  Great Cormorant (Phalacrocorax carbo) , 2000 .

[20]  Yi Jianqiang,et al.  Controller design based on T-S fuzzy reasoning and ADRC for a flying boat , 2013, 2013 10th IEEE International Conference on Control and Automation (ICCA).

[21]  M. Triantafyllou,et al.  Adding in-line motion and model-based optimization offers exceptional force control authority in flapping foils , 2014, Journal of Fluid Mechanics.

[22]  Jianqiang Yi,et al.  Modeling for flying boats in regular wave , 2012, Proceedings of the 10th World Congress on Intelligent Control and Automation.

[23]  Mario Fernando Montenegro Campos,et al.  Hybrid Unmanned Aerial Underwater Vehicle: Modeling and simulation , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[24]  Tianmiao Wang,et al.  Design and Experiment of a Bionic Gannet for Plunge-Diving , 2013 .

[25]  R Eubank,et al.  Unattended operation of an autonomous seaplane for persistent surface and airborne ocean monitoring , 2010, OCEANS 2010 MTS/IEEE SEATTLE.

[26]  Jianqiang Yi,et al.  Wave following control based on robust adaptive method and ADRC for a flying boat , 2013, 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP).

[27]  G. Pisanich,et al.  Fielding an amphibious UAV: development, results, and lessons learned , 2002, Proceedings. The 21st Digital Avionics Systems Conference.

[28]  Fan Guoliang,et al.  Modeling longitudinal aerodynamic and hydrodynamic effects of a flying boat in calm water , 2011, 2011 IEEE International Conference on Mechatronics and Automation.

[29]  Leif Ristroph,et al.  Stable hovering of a jellyfish-like flying machine , 2014, Journal of The Royal Society Interface.

[30]  Ren Luquan,et al.  Preliminary studies on the basic factors of bionics , 2014 .

[31]  Pearson The Way Ahead For Maritime UAVS , 2006 .

[32]  Sebastian G. Elbaum,et al.  Autonomous Aerial Water Sampling , 2015, J. Field Robotics.

[33]  Salah Sukkarieh,et al.  A Rotary-wing Unmanned Air Vehicle for Aquatic Weed Surveillance and Management , 2010, J. Intell. Robotic Syst..

[34]  Ravi Vaidyanathan,et al.  Development of a biologically inspired multi-modal wing model for aerial-aquatic robotic vehicles , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[35]  Ella M. Atkins,et al.  Unattended Autonomous Mission and System Management of an Unmanned Seaplane , 2011 .

[36]  Mark R. Cutkosky,et al.  Efficient jumpgliding: Theory and design considerations , 2013, 2013 IEEE International Conference on Robotics and Automation.

[37]  Paul Verschure,et al.  The state of the art in biomimetics. , 2013, Bioinspiration & biomimetics.

[38]  Ella M. Atkins,et al.  A Reconfigurable Flight Management System for Small-Scale Unmanned Air Systems , 2009 .

[39]  Bharat Bhushan,et al.  Biomimetics: lessons from nature–an overview , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[40]  M Kovač,et al.  Launching the AquaMAV: bioinspired design for aerial–aquatic robotic platforms , 2014, Bioinspiration & biomimetics.

[41]  Jianhong Liang,et al.  Modeling And Analysis of Variable Buoyancy Device Imitating Waterfowl Plumage Structure , 2011 .

[42]  Julio A. Camargo,et al.  The importance of biological monitoring for the ecological risk assessment of freshwater pollution : a case study , 1994 .

[43]  KovačMirko,et al.  The Bioinspiration Design Paradigm: A Perspective for Soft Robotics , 2014 .

[44]  Xingtuan Yang,et al.  Thermo-hydraulic experimental validation of an integrated modular small reactor operating in full power natural circulation , 2014 .

[45]  Terrence A. Weisshaar,et al.  Morphing Aircraft Systems: Historical Perspectives and Future Challenges , 2013 .

[46]  Steve Weinstein,et al.  SUBMARINE UNMANNED AERIAL VEHICLE SYSTEM …PAST, PRESENT, AND FUTURE EFFORTS , 2002 .

[47]  JianHong Liang,et al.  Wing load investigation of the plunge-diving locomotion of a gannet Morus inspired submersible aircraft , 2014 .

[48]  Tianmiao Wang,et al.  CFD based investigation on the impact acceleration when a gannet impacts with water during plunge diving , 2013, Bioinspiration & biomimetics.

[49]  Megan L. McCain,et al.  A tissue-engineered jellyfish with biomimetic propulsion , 2012, Nature Biotechnology.

[50]  Konstantin Kondak,et al.  Remote water sampling using flying robots , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[51]  Ravi Vaidyanathan,et al.  Impact of Marine Locomotion Constraints on a Bio-inspired Aerial-Aquatic Wing: Experimental Performance Verification , 2014 .

[52]  J F V Vincent,et al.  Biomimetics — a review , 2009, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[53]  Yasunori Sakurai,et al.  Oceanic squid do fly , 2013 .

[54]  J. A. Schneider,et al.  Unmanned Aircraft System Propulsion Systems Technology Survey , 2009 .

[55]  Ella M. Atkins,et al.  Autonomous Guidance and Control of the Flying Fish Ocean Surveillance Platform , 2009 .

[56]  Ryan D. Eubank,et al.  Autonomous Flight, Fault, and Energy Management of the Flying Fish Solar-Powered Seaplane , 2012 .

[57]  V. Vigliotti DEMONSTRATION OF SUBMARINE CONTROL OF AN UNMANNED AERIAL VEHICLE , 1998 .

[58]  Haibin Duan,et al.  Unmanned air/ground vehicles heterogeneous cooperative techniques: Current status and prospects , 2010 .

[59]  Sebastian Elbaum,et al.  Autonomous Aerial Water Sampling , 2015, J. Field Robotics.

[60]  John Davenport,et al.  How and why do flying fish fly? , 1994, Reviews in Fish Biology and Fisheries.

[61]  Tianmiao Wang,et al.  Numerical analysis of biomimetic gannet impacting with water during plunge-diving , 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[62]  Jianqiang Yi,et al.  Autonomous takeoff for unmanned seaplanes via fuzzy identification and generalized predictive control , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[63]  R. Vaidyanathan,et al.  Design and experimental verification of a biologically inspired multi-modal wing for aerial-aquatic robotic vehicles , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[64]  Omri Rand,et al.  Waterspout - Advanced deployable compact rotorcraft in support of special operation forces , 2008 .

[65]  Tianmiao Wang,et al.  Submersible Unmanned Aerial Vehicle Concept Design Study , 2013 .

[66]  Ella M. Atkins,et al.  Flying fish: A persistent ocean surveillance buoy with autonomous aerial repositioning , 2008 .

[67]  Tianmiao Wang,et al.  Computational simulation of a submersible unmanned aerial vehicle impacting with water , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[68]  Yoseph Bar-Cohen,et al.  Biomimetics—using nature to inspire human innovation , 2006, Bioinspiration & biomimetics.

[69]  Alexis Lussier Desbiens,et al.  Design principles for efficient, repeated jumpgliding , 2014, Bioinspiration & biomimetics.

[70]  Ravi Vaidyanathan,et al.  Development of a biologically inspired multi-modal wing model for aerial-aquatic robotic vehicles through empirical and numerical modelling of the common guillemot, Uria aalge , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.