A flexible virtual structure formation keeping control design for nonholonomic mobile robots with low-level control systems, with experiments

This paper presents a flexible virtual structure formation keeping control design for nonholonomic mobile robots that are driven by low-level velocities control systems that possess non-trivial dynamical effects. The formation is flexible in the sense that the formation configuration is defined based on a set of curvilinear relative separations instead of commonly used rectilinear relative separations. The main contribution of this work is the use of a novel concept of formation reference generation to compute accurate formation reference pose in real-time based on curvilinear relative separation coordinates along the virtual formation leader trajectory. Another contribution of this work is the application of a recently developed trajectory tracking control scheme, which enables the considered mobile robots to track their formation reference poses stably when executing the formation maneuvers. This formation control scheme allows a virtual formation leader to guide the formation of mobile robots flexibly in an environment to carry out its formation navigation tasks. The formation control performance was validated in both simulations and experimentations. Field trials were conducted in some off-road environments at speeds up to 4m/sec to validate the control design. The scheme was implemented on a full-sized nonholonomic tracked vehicle, following a virtual leader in formation. The obtained simulations and experimental results confirm the effectiveness of the proposed formation control scheme.

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

[2]  Tucker R. Balch,et al.  Behavior-based formation control for multirobot teams , 1998, IEEE Trans. Robotics Autom..

[3]  Jay A. Farrell,et al.  Decentralized cooperative control of multiple nonholonomic systems , 2007, 2007 46th IEEE Conference on Decision and Control.

[4]  Randal W. Beard,et al.  A decentralized approach to formation maneuvers , 2003, IEEE Trans. Robotics Autom..

[5]  Vijay Kumar,et al.  Modeling and control of formations of nonholonomic mobile robots , 2001, IEEE Trans. Robotics Autom..

[6]  Xiaoming Hu,et al.  Formation constrained multi-agent control , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).

[7]  Chang Boon Low Experimental implementation of a novel trajectory tracking control design on a full-sized nonholonomic tracked mobile robot with low-level velocities control systems , 2014, 2014 IEEE Conference on Control Applications (CCA).

[8]  Nathan van de Wouw,et al.  Formation control of unicycle mobile robots: a virtual structure approach , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[9]  N. DeClaris,et al.  Basic concepts and methods for keeping autonomous ground vehicle formations , 1998, Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell.

[10]  Q. P. Ha,et al.  Integration of planning and control in robotic formations , 2005 .

[11]  Philippe Martinet,et al.  Adaptable Robot Formation Control: Adaptive and Predictive Formation Control of Autonomous Vehicles , 2014, IEEE Robotics & Automation Magazine.

[12]  Kostas E. Bekris,et al.  General dynamic formations for non-holonomic systems along planar curvilinear coordinates , 2011, 2011 IEEE International Conference on Robotics and Automation.

[13]  K. D. Do,et al.  Nonlinear formation control of unicycle-type mobile robots , 2007, Robotics Auton. Syst..

[14]  Christopher M. Clark,et al.  Motion planning for formations of mobile robots , 2004, Robotics Auton. Syst..

[15]  YangQuan Chen,et al.  Formation control: a review and a new consideration , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Maarouf Saad,et al.  Formation path following control of unicycle-type mobile robots , 2008, 2008 IEEE International Conference on Robotics and Automation.

[17]  Chang Boon Low,et al.  A flexible virtual structure formation keeping control for fixed-wing UAVs , 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

[18]  Vijay Kumar,et al.  Decentralized formation control with variable shapes for aerial robots , 2012, 2012 IEEE International Conference on Robotics and Automation.

[19]  Chang Boon Low,et al.  A trajectory tracking control scheme design for nonholonomic wheeled mobile robots with low-level control systems , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[20]  Chang Boon Low,et al.  A dynamic virtual structure formation control for fixed-wing UAVs , 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

[21]  Ke-Cai Cao Formation control of multiple nonholonomic mobile robots based on cascade design , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[22]  Carlos Silvestre,et al.  Coordinated path following control of multiple wheeled robots using linearization techniques , 2006, Int. J. Syst. Sci..