A Packet Loss Compliant Logic-Based Communication Algorithm for Cooperative Path-Following Control

We introduce an event driven communication logic for decentralized control of a network of robotic vehicles (agents). The strategy proposed is robust to packet losses and drives the vehicles to predefined paths while holding a desired geometric formation pattern. To this effect, the paper extends an existing cooperative path following framework to consider the practical case where communications among the vehicles occur at discrete instants, instead of continuously. The introduced communication logic takes into account the topology of the communication network, the fact that communications are discrete, and the cost of exchanging information. We also address explicitly communication losses and bounded delays. Conditions are derived under which the overall closed loop system is input-to-state practically stable. The communication logic is applied to a cooperative path-following control system of multiple underactuated autonomous marine robots. Simulation results are presented and discussed.

[1]  I. Kaminer,et al.  Coordinated path-following control of multiple underactuated autonomous vehicles in the presence of communication failures , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[2]  Roger Skjetne,et al.  Nonlinear formation control of marine craft , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

[3]  Nandit Soparkar,et al.  Trading computation for bandwidth: reducing communication in distributed control systems using state estimators , 2002, IEEE Trans. Control. Syst. Technol..

[4]  Ji-Feng Zhang,et al.  Necessary and Sufficient Conditions for Consensusability of Linear Multi-Agent Systems , 2010, IEEE Transactions on Automatic Control.

[5]  Wenjie Dong,et al.  On consensus algorithms of multiple uncertain mechanical systems with a reference trajectory , 2011, Autom..

[6]  Antonio Pedro Aguiar,et al.  Motion Control of Single and Multiple Autonomous Marine Vehicles , 2011 .

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

[8]  Luca Zaccarian,et al.  Current Trends in Nonlinear Systems and Control , 2009 .

[9]  Umit Y. Ogras,et al.  Path following controller design using sliding mode control theory , 2003, Proceedings of the 2003 American Control Conference, 2003..

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

[11]  Joanna Plaskonka The path following control of a unicycle based on the chained form of a kinematic model derived with respect to the Serret-Frenet frame , 2012, 2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR).

[12]  Antonio M. Pascoal,et al.  Adaptive, non-singular path-following control of dynamic wheeled robots , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[13]  Thor I. Fossen,et al.  Passivity-Based Designs for Synchronized Path Following , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[14]  Mario Innocenti,et al.  Autonomous formation flight , 2000 .

[15]  Antonio Pedro Aguiar,et al.  Cooperative Path-Following of Underactuated Autonomous Marine Vehicles with Logic-based Communication , 2008 .

[16]  António Manuel Santos Pascoal,et al.  Coordinated path-following control for nonlinear systems with logic-based communication , 2007, 2007 46th IEEE Conference on Decision and Control.

[17]  Roger Skjetne,et al.  Robust output maneuvering for a class of nonlinear systems , 2004, Autom..

[18]  Xiaoming Hu,et al.  A control Lyapunov function approach to multiagent coordination , 2002, IEEE Trans. Robotics Autom..

[19]  Joao P. Hespanha,et al.  Communication Logic Design and Analysis for Networked Control Systems , 2006 .

[20]  Luc Moreau,et al.  Stability of multiagent systems with time-dependent communication links , 2005, IEEE Transactions on Automatic Control.

[21]  Jie Lin,et al.  Coordination of groups of mobile autonomous agents using nearest neighbor rules , 2003, IEEE Trans. Autom. Control..