A Formation Control Algorithm by Modified Next-state Approximation to Reduce Communication Requirements in Multirobot Systems

Roshin Jacob Johnson, Asokan Thondiyath

2015

Abstract

Multiple robot systems are employed in various applications to get the complex tasks carried out by a group of robots. When Autonomous Underwater Vehicles (AUVs) are employed for underwater missions, they provide higher quality data, more coverage and reduces the mission time, thus resulting in huge cost savings. However, the formation control of such robots depends to a great extent on the communication requirements between the robots. In this paper, we propose a modified next-state approximation algorithm to control the leader follower formation of multiple AUV’s which reduces the communication requirements. The controller drives each follower robot to the next desired position by eliminating the error between the next actual position of follower AUV, computed by considering its current and previous position and its next desired position by using a PID controller. Since this algorithm is independent of time step between states, the amount of information to be transmitted can be reduced by increasing the time steps. The design of the formation controller and its simulation studies for a group of AUVs are presented. The results confirm that the time step increase doesn’t affect the path accuracy and hence the communication requirements get reduced.

References

  1. T. Balch, R. C. Arkin, "Behavior-based formation control for multirobot teams”. IEEE Transaction on Robotics and Automation, 1998. 14(6).pp.926-939.
  2. W. Ren, R. W. Beard, “A decentralized scheme for spacecraft formation flying via virtual structure approach”. Proceedings of the American Control Conference Denver, Colorado, American Automatic Control Council 2003, pp.1746-1751.
  3. X. P. Chen, A.Serrani, H.Ozbay, “Control of leaderfollower formations of terrestrial UAVs”. IEEE Conference on Decision and Control, Hawaii: IEEE, 2003. pp.498 - 503.
  4. U. Neettiyath and A. Thondiyath. “Improved leader follower formation control of autonomous underwater Vehicles using state estimation”. In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, pages 472{475.SciTePress - Science and Technology Publications, 2012.
  5. L. Consolini, F. Morbidi, D. Prattichizzo, and M. Tosques.” Leader-Follower Formation Control of nonholonimic mobile robots with input constraints”. Automatica, 44(5):1343-1349, 2008.
  6. G. Antonelli, T. I. Fossen, and D. R. Yoerger.Underwater robotics. In B. Siciliano and O. Khatib, editors, “Springer Handbook of Robotics”, chapter 44, pages 987{1008. Springer Berlin Heidelberg, Berlin, Heidelberg, 2008.
  7. T. I. Fossen. “Guidance and control of ocean vehicles.”Wiley, 1994.
  8. J. Yuh. “Design and control of autonomous underwater, robots: A survey”. Autonomous Robots, IEEE conference, San Francisco 8(1):7{24, Jan.2000.
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Paper Citation


in Harvard Style

Jacob Johnson R. and Thondiyath A. (2015). A Formation Control Algorithm by Modified Next-state Approximation to Reduce Communication Requirements in Multirobot Systems . In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, pages 275-280. DOI: 10.5220/0005537502750280


in Bibtex Style

@conference{icinco15,
author={Roshin Jacob Johnson and Asokan Thondiyath},
title={A Formation Control Algorithm by Modified Next-state Approximation to Reduce Communication Requirements in Multirobot Systems},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2015},
pages={275-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005537502750280},
isbn={978-989-758-123-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - A Formation Control Algorithm by Modified Next-state Approximation to Reduce Communication Requirements in Multirobot Systems
SN - 978-989-758-123-6
AU - Jacob Johnson R.
AU - Thondiyath A.
PY - 2015
SP - 275
EP - 280
DO - 10.5220/0005537502750280