Triangle Formation Control of Multi-AUVs with Communication Constraints

Article Preview

Abstract:

Aimed at solving the problem of multi-AUVs formation control, an analysis has been made on a triangle formation based on leader-follower construction, with a multi-AUVs formation controller designed with communication constraints taken into account. The desired velocity of the follower is the resultant velocity of three component velocities, each of which has different function. The convergence of the proposed controller is proved by establishing an objective function that can represents the status of the formation. Simulation experiments are carried out to demonstrate the proposed controller is effective.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

631-635

Citation:

Online since:

July 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Xianbo Xiang, Jouvencel Bruno, Parodi Olivier. Coordinated Formation Control of Multiple Autonomous Underwater Vehicles for Pipeline Inspection [J]. International Journal of Advanced Robotic Systems, 2010 (5) 75-84.

DOI: 10.5772/7242

Google Scholar

[2] Ruilei Zhang, Sheng Li, Qingwei Chen. Dynamic Formation Control for Car-like Mobile Robots [J]. ROBOT, 2013, 35(6): 651-656.

DOI: 10.3724/sp.j.1218.2013.00651

Google Scholar

[3] Balch T, Arkin R C. Behavior-based formation control for multi robot teams [J]. IEEE Transactions on Robotics and Automation, 1998, 14(6): 926-939.

DOI: 10.1109/70.736776

Google Scholar

[4] Kar-Han Tan, Lewis M A. Virtual structures for high-precision cooperative mobile robotic control [C]. 1996 IEEE International Conference on Intelligent Robots and Systems. Osaka, Japan: IEEE, 1996: 132-139.

DOI: 10.1109/iros.1996.570643

Google Scholar

[5] Fan W H, Liu Y H, Cai X P. Multi-robot formation control using potential field for mobile ad-hoc networks [C]. 2005 IEEE International Conference on Robotics and Biomimetics. Shatin, China: IEEE, 2005: 133-138.

DOI: 10.1109/robio.2005.246251

Google Scholar

[6] Desai J, Ostrowski J, Kumar V. Modeling and control of formations of nonholonomic mobile robots [J]. IEEE Transactions on Robotics and Automation, 2001, 17(6): 905-908.

DOI: 10.1109/70.976023

Google Scholar

[7] Kowdiki K H, Barai R K, Bhattacharya S. Leader-follower formation control using artificial potential functions: A kinematic approach [C]. 2012 International Conference on Advances in Engineering, Science and Management. Nagapattinam, Tamil Nadu: IEEE, 2012: 500-505.

Google Scholar

[8] Consolini L, Moribidi F, Prattichizzo D, et al. A geometric characterization of leader-follower formation control [C]. 2007 IEEE International Conference on Robotics and Automation. Roma, Italy: IEEE, 2007: 2397-2402.

DOI: 10.1109/robot.2007.363678

Google Scholar

[9] Wei Ren. Consensus tracking under directed interaction topologies: Algorithms and experiments [J]. IEEE Transactions on Control Systems Technology, 2010, 18(1): 230-237.

DOI: 10.1109/tcst.2009.2015285

Google Scholar

[10] Wei Ren, Nathan S. Distributed coordination architecture for multi-robot formation control [J]. Robotics and Autonomous Systems, 2008, 56(4): 324-333.

DOI: 10.1016/j.robot.2007.08.005

Google Scholar