Abstract
In this paper, we formulate the problems of forming a desired structure and controlling the obtained formation for a group of unmanned aerial vehicles (UAVs). Two general solution schemes of the formulated problems are proposed, and the mathematical apparatus for forming and controlling the desired formation is given. First scheme implies the optimal assignment of UAVs to goal positions in the desired formation, collision avoidance by sequential modification of the basic plan and planning ideal trajectories. As an alternative scheme, we propose to apply Kohonen network algorithm extended by a mechanism for detecting collisions. When necessary trajectories are obtained, an original rule-based approach is applied that comes down to pursuing a target, which simulates the reference flight. Each UAV in a group implements behavioral strategies for maintaining formation flight and avoiding collisions in the restless atmosphere. In the experimental part, we present simulation results of controlling the formation of several unmanned aerial vehicles.
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References
Ivanov, D., Kapustyan, S., Kalyaev, I.: Method of spheres for solving 3D formation task in a group of quadrotors. In: Interactive Collaborative Robotics (ICR). LNCS 9812, pp. 124–132 (2016)
Khachumov, M., Khachumov, V.: The model of UAV formation based on the uniform allocation of points on the sphere. In: 13th International Scientific-Technical Conference on Electromechanics and Robotics “Zavalishin’s Readings”, pp. 1–4, MATEC Web Conf. (2018)
Ronzhin, A., Vatamaniuk, I., Pavluk, N.: Automatic control of robotic swarm during convex shape generation. In: Proceedings of the 2016 International Conference and Exposition on Electrical and Power Engineering (EPE), pp. 675–680 (2016)
Yan, X., Sun, D.: Shape control of robot swarms with multilevel-based topology design. Artif. Intell. Concepts Methodologies Tools Appl. 1, 525–557 (2016)
Ren, W., Sorensen, N.: Distributed coordination architecture for multi-robot formation control. Robot. Auton. Syst. 56(4), 324–333 (2008)
Khan, M., Li, S., Wang, Q., Shao, Z.: Distributed multirobot formation and tracking control in cluttered environments. ACM Trans. Auton. Adapt. Syst. (TAAS) 11(2), 1–12 (2016)
Pandey, A., Parhi, D.: Multiple mobile robots navigation and obstacle avoidance using minimum rule based ANFIS network controller in the cluttered Environment. Int. J. Adv. Robot. Autom. 1, 1–11 (2016)
Xavier, J., Selvakumari, S.: Behavior architecture controller for an autonomous robot navigation in an unknown environment to perform a given task. Int. J. Phys. Sci. 10, 182–191 (2015)
Ivanov, D., Kalyaev, I., Kapustyan, S.: Formation task in a group of quadrotors. In: Robot Intelligence Technology and Applications 3. Advances in Intelligent Systems and Computing, pp. 183–191. Springer, Cham (2015)
Khachumov, M., Khachumov, V.: The problem of target capturing by a group of unmanned flight vehicles under wind disturbances. In: RPC 2017—Proceedings of the 2nd Russian-Pacific Conference on Computer Technology and Applications, pp. 1–5 (2017)
Acknowledgments
This research was supported by the Russian Science Foundation (Project No. 16-11-00048).
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Khachumov, M. (2020). A Rule-Based Approach for Controlling UAVs Formation Flight. In: Ronzhin, A., Shishlakov, V. (eds) Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin's Readings”. Smart Innovation, Systems and Technologies, vol 154. Springer, Singapore. https://doi.org/10.1007/978-981-13-9267-2_26
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DOI: https://doi.org/10.1007/978-981-13-9267-2_26
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