Adaptive coordinated tracking control of multiple autonomous underwater vehicles

A practical design method is developed for cooperative tracking control of multiple autonomous underwater vehicles (AUVs). Each AUV is modeled by a system with time-varying parameters, unknown nonlinear dynamics and unknown disturbance. A robust adaptive distributed controller is designed for each AUV such that all AUVs ultimately synchronize to the desired paths with required formation. Moreover, these controllers are distributed in the sense that the controller design for each AUV only requires relative state in formation between itself and its neighbors. Finally, a simulation example demonstrates the effectiveness of the control method.

[1]  Lionel Lapierre,et al.  Nonlinear Path Following Control of an AUV , 2007 .

[2]  Jay A. Farrell,et al.  Decentralized cooperative control of multiple nonholonomic dynamic systems with uncertainty , 2009, Autom..

[3]  José-Enrique Simó-Ten,et al.  A Hierarchical Hybrid Architecture for Mission-Oriented Robot Control , 2013, ROBOT.

[4]  Ji-Hong Li,et al.  Design of an adaptive nonlinear controller for depth control of an autonomous underwater vehicle , 2005 .

[5]  Jin Zhou,et al.  Distributed coordinated adaptive tracking in networked redundant robotic systems with a dynamic leader , 2014 .

[6]  Mukund Narasimhan,et al.  Adaptive optimal control of an autonomous underwater vehicle in the dive plane using dorsal fins , 2006 .

[7]  Pang Yongjie Research on path following of underwater vehicle without rudder and fin , 2007 .

[8]  Jian Chen,et al.  Leader-Follower Formation Control of Multiple Non-holonomic Mobile Robots Incorporating a Receding-horizon Scheme , 2010, Int. J. Robotics Res..

[9]  Ahmed Rhif A Review Note for Position Control of an Autonomous Underwater Vehicle , 2011 .

[10]  Domenico Prattichizzo,et al.  Observer design via Immersion and Invariance for vision-based leader-follower formation control , 2010, Autom..

[11]  Carlos Silvestre,et al.  Coordinated Path-Following in the Presence of Communication Losses and Time Delays , 2009, SIAM J. Control. Optim..

[12]  P. Jantapremjit,et al.  Guidance-Control Based Path Following for Homing and Docking using an Autonomous Underwater Vehicle , 2008, OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean.

[13]  Kar-Han Tan,et al.  High Precision Formation Control of Mobile Robots Using Virtual Structures , 1997, Auton. Robots.

[14]  Zhong-Ping Jiang,et al.  Robust and adaptive path following for underactuated autonomous underwater vehicles , 2004 .

[15]  Hyun-Sik Kim,et al.  Expanded adaptive fuzzy sliding mode controller using expert knowledge and fuzzy basis function expansion for UFV depth control , 2007 .

[16]  John Anderson,et al.  Distributed Formation Control of Heterogeneous Robots with Limited Information , 2013, RoboCup.

[17]  Cui Wei-cheng,et al.  Path following control of autonomous underwater vehicle based upon fuzzy hybrid control , 2006 .

[18]  Maarouf Saad,et al.  Formation path following control of unicycle-type mobile robots , 2010, Robotics Auton. Syst..

[19]  Shuzhi Sam Ge,et al.  Data Driven Adaptive Predictive Control for Holonomic Constrained Under-Actuated Biped Robots , 2012, IEEE Transactions on Control Systems Technology.

[20]  Gang Feng,et al.  A Synchronization Approach to Trajectory Tracking of Multiple Mobile Robots While Maintaining Time-Varying Formations , 2009, IEEE Transactions on Robotics.

[21]  Kouhei Ohnishi,et al.  Autonomous decentralized control for formation of multiple mobile robots considering ability of robot , 2004, IEEE Transactions on Industrial Electronics.