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International Journal of Intelligent Transportation Systems Research

18.05.2024 | Research Paper

Heterogeneous Formation Sliding Mode Control of the Flying Robot and Obstacles Avoidance

verfasst von: Fatemeh Ghaderi, Alireza Toloei, Reza Ghasemi

Erschienen in: International Journal of Intelligent Transportation Systems Research

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Abstract

The purpose of this article is to control the formation of heterogeneous flying robots and to cross obstacles. The robots in question are a quadrotor and two unmanned helicopters. Independent attitude and position of robots and formation flight are controlled by the sliding mode method. Improved Artificial Potential Fields has been used to avoid collision with dynamic and static obstacles. The results of the design of the attitude and position controller showed that the attitude and position of the robots were well stabilized and converged in less than 3 s, which is a favorable time. The results of the formation flight simulation were presented in the form of 4 missions. In the first mission, the quadrotor is considered the leader, and the helicopters are the followers. The flight formation is triangular and the flight path is spiral. The results showed that the followers follow the leader. In the second mission, the robot crosses dynamic and static obstacles and the leader tracks the fixed target. In the third mission, the number of followers increases to 5 and the flight formation is hexagonal. The obstacles in this mission are dynamic and the target is moving. The results showed that in these two missions, the leader tracks the target well and the robots maintain triangular and hexagonal flight formations after crossing the obstacles. The results of simulations of group crossing of obstacles showed that the simulation error is less than 4% according to the expected position of the robots, and show the efficiency of the applied methods.

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Titel: Heterogeneous Formation Sliding Mode Control of the Flying Robot and Obstacles Avoidance
verfasst von: Fatemeh Ghaderi
Alireza Toloei
Reza Ghasemi
Publikationsdatum: 18.05.2024
Verlag: Springer US
Erschienen in: International Journal of Intelligent Transportation Systems Research
Print ISSN: 1348-8503
Elektronische ISSN: 1868-8659
DOI: https://doi.org/10.1007/s13177-024-00396-2

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