CFD-based Underwater Formation Analysis for Multiple Amphibious Spherical Robots

As limited sensing and working capability of a single robot, multiple robots cooperative accomplishing complex tasks in formation has been a popular topic in recent years. Energy efficiency is the premise and guarantee for underwater robot to complete a wide range of task, especially for the small and bionic amphibious spherical robots with limited energy. This paper analyzed three formation shapes in the view of underwater hydrodynamic drag aiming at decreasing the energy consumption of a multiple robots system. Numerical simulation based on Computational Fluid Dynamic (CFD) is adopted to compute the drag of each individual robot and entire systems. Simulation results show that triangular formation shape can decrease the total drag. When the serial and parallel formation are needed, the longitudinal distance and transverse distance should be short as soon as possible.

[1]  Shuxiang Guo,et al.  Visual Detection and Tracking System for a Spherical Amphibious Robot , 2017, Sensors.

[2]  Shuxiang Guo,et al.  The communication and stability evaluation of amphibious spherical robots , 2018 .

[3]  Shuxiang Guo,et al.  Hydrodynamic Analysis-Based Modeling and Experimental Verification of a New Water-Jet Thruster for an Amphibious Spherical Robot , 2019, Sensors.

[4]  Beom Hee Lee,et al.  Power efficient formation configuration for centralized leader–follower AUVs control , 2012 .

[5]  Shuxiang Guo,et al.  Robust RGB-D Camera and IMU Fusion-based Cooperative and Relative Close-range Localization for Multiple Turtle-inspired Amphibious Spherical Robots , 2019 .

[6]  Philip A. Wilson,et al.  Numerical investigation of a fleet of towed AUVs , 2014 .

[7]  M. Andersson,et al.  Kin selection and reciprocity in flight formation , 2004 .

[8]  Shuxiang Guo,et al.  A system on chip-based real-time tracking system for amphibious spherical robots , 2017 .

[9]  Francis Juanes,et al.  Estimating the number of fish in Atlantic bluefin tuna schools using models derived from captive school observations , 2001 .

[10]  Shuxiang Guo,et al.  Hybrid Locomotion Evaluation for a Novel Amphibious Spherical Robot , 2018 .

[11]  Hyeung-Sik Choi,et al.  Verification of CFD analysis methods for predicting the drag force and thrust power of an underwater disk robot , 2014 .

[12]  Shuxiang Guo,et al.  Development of a biomimetic underwater microrobot for a father–son robot system , 2017 .

[13]  D. Weihs.  The hydrodynamics of dolphin drafting , 2004, Journal of biology.

[14]  Zahurin Samad,et al.  CFD simulation of cooperative AUV motion , 2009 .

[15]  Shuxiang Guo,et al.  A roller-skating/walking mode-based amphibious robot , 2017 .

[16]  Shuxiang Guo,et al.  Underwater motion characteristics evaluation of multi amphibious spherical robots , 2018, Microsystem Technologies.

[17]  Philip A. Wilson,et al.  Numerical investigation of a pair of self-propelled AUVs operating in tandem , 2015 .