Power efficient formation configuration for centralized leader–follower AUVs control

Autonomous underwater vehicles (AUVs) have rapidly developed in the last few decades due to their autonomous properties in the investigation of an underwater environment. The goal of this paper is to develop a power efficient formation control for the cooperative motion of AUVs with a support vessel as a leader. In this paper, a kinematic algorithm for the joint motion of an AUV with a support vessel was developed and that algorithm was expanded for the formation of AUVs. The AUV yaw, surge and sway control loops were designed for that purpose. The complexing navigation system structure for the AUV was also developed. Simulation results demonstrated efficiency of the proposed kinematic algorithm for the joint motion of AUVs. Also, influence of lateral ocean current was considered. After development of the centralized leader–follower formation control for the group of AUVs with a support vessel as a leader, we optimized a formation configuration in terms of power efficiency. Drag forces caused by AUV motion in the water can significantly influence power consumption. We investigated the relationship between the AUV's formation configuration, underwater coverage efficiency, communication quality and power consumption. As a result of research, we proposed a power efficient formation configuration for typical underwater operations. As a result, the effect of the AUV formation configuration on the power consumption was investigated and a trade-off solution for the optimal AUV positions in formation with minimal energy consumption, high coverage efficiency and small communication power consumption was derived.

[1]  Young-Jin Kim,et al.  Development of a power control system for AUVs probing for underwater mineral resources , 2009 .

[2]  Benjamin E. DeRoy.  Automatic control theory , 1966 .

[3]  Karl Sammut,et al.  A Study On the Design Optimization of an AUV By Using Computational Fluid Dynamic Analysis , 2009 .

[4]  Gianluca Antonelli.  Underwater Robots , 2003 .

[5]  J G Hawley,et al.  The evolution of AUV power systems , 2002, OCEANS '02 MTS/IEEE.

[6]  Beom-Hee Lee,et al.  An efficient underwater coverage method for multi-AUV with sea current disturbances , 2009 .

[7]  S. Pope.  Turbulent Flows: FUNDAMENTALS , 2000 .

[8]  Daniel J. Stilwell,et al.  Platoons of underwater vehicles , 2000 .

[9]  Emanuele Crisostomi,et al.  Physical Characterization of Acoustic Communication Channel Properties in Underwater Mobile Sensor Networks , 2009, S-CUBE.

[10]  Thor I. Fossen,et al.  Marine Control Systems Guidance, Navigation, and Control of Ships, Rigs and Underwater Vehicles , 2002 .

[11]  P. Jasiobedzki,et al.  Underwater 3D mapping and pose estimation for ROV operations , 2008, OCEANS 2008.

[12]  Gwyn Griffiths,et al.  Modeling hybrid energy systems for use in AUVs , 2005 .

[13]  Alfredo Martins,et al.  Coordinated maneuver for gradient search using multiple AUVs , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[14]  C. D. Fallows.  The systematic optimization of the propulsion efficiency of in-service autonomous underwater vehicles , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[15]  K.A. Morgansen,et al.  Formation Tracking Control using Virtual Structures and Deconfliction , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

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

[17]  H. Kermorgant.  Architecture of AUV systems for harbour protection and mine countermeasure , 2005, Europe Oceans 2005.

[18]  Karl K. Turekian,et al.  Measurement techniques, sensors and platforms : a derivative of Encyclopedia of ocean sciences, 2nd edition , 2009 .

[19]  Milica Stojanovic,et al.  On the relationship between capacity and distance in an underwater acoustic communication channel , 2007, MOCO.

[20]  Alexander Pavin,et al.  AUV Application for Inspection of Underwater Communications , 2009 .

[21]  Mahmut T. Kandemir,et al.  Energy-Optimal Data Collection and Communication Using a Group of UUVs , 2007, AAAI Fall Symposium: Regarding the Intelligence in Distributed Intelligent Systems.

[22]  Beom-Soo Hyun,et al.  Experimental and Numerical Study for Hydrodynamic Characteristics of an Oscillating Hydrofoil , 2008 .

[23]  Gwyn Griffiths,et al.  Energy storage for long endurance AUVs , 2004 .

[24]  A.C. Sanderson,et al.  Adaptive sampling algorithms for multiple autonomous underwater vehicles , 2004, 2004 IEEE/OES Autonomous Underwater Vehicles (IEEE Cat. No.04CH37578).