Multi-agent formation control using angle measurements

This paper investigates the triangular and polygonal formation control problem for mobile multi-agent systems under the constraint that each agent can only take angle measurements. For triangular formations, due to the fact that the sum of three interior angles always equals π, the desired triangular shape can be obtained when any two agents achieve desired angles for which they are the corresponding vertices of the triangle. So to achieve the desired shape of a triangular formation, we propose to let one agent remain fixed and the other two agents move along their bisectors respectively with respect to their two neighbors. For convex polygonal formations, since the sum of all interior angles is constant, we are able to use a similar control strategy to achieve the desired polygonal shape. The stability of the closed-loop multi-agent systems is proved using Lyapunov theory. Finally, simulation examples illustrate the validity of the theoretic results.

[1]  Brian D. O. Anderson,et al.  UAV Formation Control: Theory and Application , 2008, Recent Advances in Learning and Control.

[2]  J. Hendrickx,et al.  Rigid graph control architectures for autonomous formations , 2008, IEEE Control Systems.

[3]  Adrian N. Bishop,et al.  Bearing-only triangular formation control on the plane and the sphere , 2010, 18th Mediterranean Conference on Control and Automation, MED'10.

[4]  Andrew G. Sparks,et al.  Spacecraft formation flying: dynamics and control , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[5]  Francisco R. Rubio,et al.  Formation Control of Autonomous Underwater Vehicles Subject to Communication Delays , 2014 .

[6]  Karl Henrik Johansson,et al.  Stability analysis for multi-agent systems using the incidence matrix: Quantized communication and formation control , 2010, Autom..

[7]  Hyo-Sung Ahn,et al.  A survey of multi-agent formation control , 2015, Autom..

[8]  Pini Gurfil,et al.  Adaptive Neural Control of Deep-Space Formation Flying , 2003 .

[9]  Giuseppe Loianno,et al.  A Distributed Optimization Framework for Localization and Formation Control: Applications to Vision-Based Measurements , 2016, IEEE Control Systems.

[10]  Magnus Egerstedt,et al.  Graph Theoretic Methods in Multiagent Networks , 2010, Princeton Series in Applied Mathematics.

[11]  Shiyu Zhao,et al.  Translational and Scaling Formation Maneuver Control via a Bearing-Based Approach , 2015, IEEE Transactions on Control of Network Systems.

[12]  Brian D. O. Anderson,et al.  Formation control using range-only measurements , 2011, Autom..

[13]  Shiyu Zhao,et al.  Bearing Rigidity and Almost Global Bearing-Only Formation Stabilization , 2014, IEEE Transactions on Automatic Control.

[14]  Yiguang Hong,et al.  Distributed formation control with relaxed motion requirements , 2015 .

[15]  Tolga Eren,et al.  Formation shape control based on bearing rigidity , 2012, Int. J. Control.

[16]  Patric Jensfelt,et al.  Distributed control of triangular formations with angle-only constraints , 2010, Syst. Control. Lett..

[17]  Shaoshuai Mou,et al.  Exponential stability for formation control systems with generalized controllers: A unified approach , 2016, Syst. Control. Lett..

[18]  Adrian N. Bishop Distributed bearing-only formation control with four agents and a weak control law , 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

[19]  B.D.O. Anderson,et al.  Generalized Controller for Directed Triangle Formations , 2008 .

[20]  Randal W. Beard,et al.  Consensus seeking in multiagent systems under dynamically changing interaction topologies , 2005, IEEE Transactions on Automatic Control.

[21]  Tolga Eren Using Angle of Arrival (Bearing) Information for Localization in Robot Networks , 2007 .

[22]  Yanchao Sun,et al.  Distributed finite-time configuration containment control for satellite formation , 2017 .

[23]  Tong Heng Lee,et al.  Distributed control of angle-constrained circular formations using bearing-only measurements , 2013, ASCC.

[24]  Camillo J. Taylor,et al.  A vision-based formation control framework , 2002, IEEE Trans. Robotics Autom..