System Modeling and Simulation of an Unmanned Aerial Underwater Vehicle

Unmanned Aerial Underwater Vehicles (UAUVs) with multiple propellers can operate in two distinct mediums, air and underwater, and the system modeling of the autonomous vehicles is a key issue to adapt to these different external environments. In this paper, only a single set of aerial rotors with switching propulsion abilities are designed as driving components, and then a compound multi-model method is investigated to achieve good performance of the cross-medium motion. Furthermore, some additional variables, such as water resistance, buoyancy and their corresponding moments are considered for the underwater case. In particular, a critical coefficient for air-to-water switching is presented to express these gradually changing additional variables in the cross-medium motion process. Finally, the sliding mode control method is used to reduce the altitude error and attitude error of the vehicles with external environmental disturbances. The proposed scheme is tested and the model is verified on the simulation platform.

[1]  Iyad Mansour,et al.  Evaluation of an aerial quadcopter power-plant for underwater operation , 2015, 2015 10th International Symposium on Mechatronics and its Applications (ISMA).

[2]  Jianjun Ma,et al.  Aerodynamic layout optimization design of a barrel-launched UAV wing considering control capability of multiple control surfaces , 2019 .

[3]  Ji Xiang,et al.  QUUV: A quadrotor-like unmanned underwater vehicle with thrusts configured as X shape , 2018, Applied Ocean Research.

[4]  Huosheng Hu,et al.  Autonomous Flight Control for Multi-Rotor UAVs Flying at Low Altitude , 2019, IEEE Access.

[5]  Ashraf M. Kamal,et al.  Design methodology for hybrid (VTOL + Fixed Wing) unmanned aerial vehicles , 2018 .

[6]  Thierry Soriano,et al.  Analysis of coordination modes for multi-UUV based on Model Driven Architecture , 2018, 2018 12th France-Japan and 10th Europe-Asia Congress on Mechatronics.

[7]  Mathieu Kemp.  Underwater Thruster Fault Detection and Isolation , 2019 .

[8]  Ugur Ozdemir,et al.  Transition Flight Modeling of a Fixed-Wing VTOL UAV , 2016, J. Intell. Robotic Syst..

[9]  Lianqing Zhu,et al.  Study on formation control system for underwater spherical multi-robot , 2018, Microsystem Technologies.

[10]  Reza Bairam Zadeh,et al.  Introduction to Autonomy and Applications , 2019 .

[11]  Lifei Wei,et al.  Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications , 2018, IEEE Geoscience and Remote Sensing Magazine.

[12]  Jonathan M. G. Glen,et al.  Developing an autonomous unmanned aerial system to estimate field terrain corrections for gravity measurements , 2018, The Leading Edge.

[13]  Timothy W. McLain,et al.  Implementing Dubins Airplane Paths on Fixed-wing UAVs , 2014 .

[14]  Mohd Ariffanan Mohd Basri,et al.  Robust Backstepping Controller Design with a Fuzzy Compensator for Autonomous Hovering Quadrotor UAV , 2018, Iranian Journal of Science and Technology, Transactions of Electrical Engineering.

[15]  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.

[16]  Marco M. Maia,et al.  Design and implementation of multirotor aerial-underwater vehicles with experimental results , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[17]  Marco M. Maia,et al.  Modeling and control of unmanned aerial/underwater vehicles using hybrid control , 2018, Control Engineering Practice.

[18]  Diego A. Mercado,et al.  Aerial-Underwater Systems, a New Paradigm in Unmanned Vehicles , 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).

[19]  Ian Flood,et al.  Current and Future Applications of Unmanned Surface, Underwater, and Ground Vehicles in Construction , 2018 .

[20]  Mario Fernando Montenegro Campos,et al.  Attitude control for an Hybrid Unmanned Aerial Underwater Vehicle: A robust switched strategy with global stability , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

[21]  A M Aminur R B,et al.  Robotic Fish Locomotion & Propulsion in Marine Environment: A Survey , 2018, 2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE).

[22]  Jana Fuhrmann,et al.  Guidance And Control Of Ocean Vehicles , 2016 .

[23]  Quan Quan,et al.  A Practical Performance Evaluation Method for Electric Multicopters , 2017, IEEE/ASME Transactions on Mechatronics.

[24]  Jihoon Kim,et al.  Six-Degree-of-Freedom Hovering Control of an Underwater Robotic Platform With Four Tilting Thrusters via Selective Switching Control , 2015, IEEE/ASME Transactions on Mechatronics.

[25]  Damith Chinthana Ranasinghe,et al.  TrackerBots: Autonomous unmanned aerial vehicle for real‐time localization and tracking of multiple radio‐tagged animals , 2017, J. Field Robotics.