Cover
Vol. 16 No. 2 (2020)

Published: December 31, 2020

Pages: 74-80

Original Article

Multi Robot System Dynamics and Path Tracking

Abstract

The Leader detecting and following are one of the main challenges in designing a leader-follower multi-robot system, in addition to the challenge of achieving the formation between the robots, while tracking the leader. The biological system is one of the main sources of inspiration for understanding and designing such multi-robot systems, especially, the aggregations that follow an external stimulus such as light. In this paper, a multi-robot system in which the robots are following a spotlight is designed based on the behavior of the Artemia aggregations. Three models are designed: kinematic and two dynamic models. The kinematic model reveals the light attraction behavior of the Artemia aggregations. The dynamic model will be derived based on the newton equation of forces and its parameters are evaluated by two methods: first, a direct method based on the physical structure of the robot and, second, the Least Square Parameter Estimation method. Several experiments are implemented in order to check the success of the three proposed systems and compare their performance. The experiments are divided into three scenarios of simulation according to three paths: the straight line, circle, zigzag path. The V-Rep software has been used for the simulation and the results appeared the success of the proposed system and the high performance of tracking the spotlight and achieving the flock formation, especially the dynamic models.

References

  1. Qing Han, Shudong Sun, and Hao Lang, “leader-follower formation control of multi-robots based on bearing-only observations”, International Journal of Robotics and Automation, Vol. 34, No. 2, 2019.
  2. C. Luo, A. Zhu, H. Mo, and W. Zhao, “Planning optimal trajectory for histogram-enabled mapping and navigation by an efficient PSO algorithm”, 12th World Congress on Intelligent Control and Automation (WCICA), Guilin, China, pp. 1099–1104, 2016.
  3. A. Abbaspour, S.A. Moosavian, and K. Alipour, “Formation control and obstacle avoidance of cooperative wheeled mobile robots”, International Journal of Robotics and Automation, Vol. 30, Issue 5, pp. 418–428, 2015.
  4. X. Yang, J. Chen, and S.X. Yang,” Dynamic bioinspired neural network for multi-robot formation control in unknown environments”, International Journal of Robotics and Automation, Vol. 30, Issue 3, pp. 256–266, 2015.
  5. Abdulmuttalib T. Rashid, “Leader Follower Tracking with Obstacle Avoidance using Circular Paths Algorithm”, Basrah Journal for Engineering Science, Volume 16, Issue 2, pp. 29-47, 2016.
  6. A. Hasan, A. T. Rashid and R. S. Ali,” Centralized approach for multi-node localization and identification “, Iraq J. Electrical and Electronic Engineering, Vol. 12, No. 2, pp. 178-187, 2016.
  7. Tomas Krajnık, Matıas Nitsche, Jan Faigl, Petr Vanek, Martin Saska, “A Practical Multirobot Localization System”, Journal of Intelligent & Robotic Systems, Vol. 76, pp. 539–562, 2014.
  8. Yousif Abdulwahab Kheerallah, Ali Fadhil Marhoon, Mofeed Turky Rashid, Abdulmuttalib Turky Rashid, “Design and Experimental Validation of Dynamic Model of Multi Robot System”, International Conference on Electrical, Communication, and Computer Engineering (ICECCE), IEEEXplore, 2020. DOI: 10.1109/ICECCE49384.2020.9179344.
  9. Michael Bodi, Christoph Moslinger, Ronald Thenius, Thomas Schmickl, “BEECLUST used for exploration tasks in Autonomous Underwater Vehicles”, IFAC- PapersOnLine, Vol. 48, Issue 1, pp. 819–824, 2015.
  10. Musad A. Haque, Amir R. Rahmani and Magnus B. Egerstedt, “Biologically inspired confinement of multi- robot systems”, Int. J. Bio-Inspired Computation, Vol. 3, No. 4, 2011.
  11. Han Zhang, Wei Wang, Yang Zho, Chen Wang, Ruifeng Fan and Guangming Xie”, CSMA/CA-based Electrocommunication System Design for Underwater Robot Groups”, International Conference on Intelligent Robots and Systems (IROS), 2017.
  12. Mofeed Turky Rashid, Mattia Frasca, Abduladhem Abdulkareem Ali, Ramzy Salim Ali, Luigi Fortuna, Maria Gabriella Xibilia “Artemia swarm dynamics and path tracking” Springer, Vol. 68, Issue 4, PP. 555-563, 2012.
  13. Mofeed Turky Rashid, “Design Model for Wireless Multi-Mobile Robot System Based on Modeling of Collective Motion of Artemia Population”, Elec. Eng. Depart., University of Basrah, 2011.
  14. Yousif Abdulwahab Kheerallah, Ali Fadhil Marhoon, Mofeed Turky Rashid, Abdulmuttalib Turky Rashid, “Self-Organization of Multi-Robot System Based on External Stimuli”, Iraqi Journal for Electrical and Electronic Engineering, Vol. 15, Issue 2, pp. 101-114, 2019. DOI: 10.37917/ijeee.15.2.11
  15. A. Hasan, A. T. Rashid and R. S. Ali, “Centralized approach for multi-node localization and identification”, Iraq Journal for Electrical and Electronic Engineering, Vol. 12, No. 2, pp. 178-187, 2016.
  16. Mofeed Turky Rashid, Mattia Frasca, Abduladhem Abdulkareem Ali, Ramzy Salim Ali, Luigi Fortuna, Maria Gabriella Xibilia, “Nonlinear model identification for Artemia population motion”, Nonlinear Dyn, Vol. 69, pp. 2237–2243, 2012.
  17. L. Fortuna, M. Frasca, M.G. Xibilia, A. A. Ali, M. T. Rashid, “Motion control of a population of Artemia”, Iraq Journal for Electrical and Electronic Engineering, Vol. 6, No.1, 2010.