Abstract
With the continuous development of society, the universal applicability of Unmanned Aerial Vehicles (UAVs) has gradually emerged, because the facilities, such as surveillance cameras, lifting ropes and manipulators that can be modified are widely used in various fields, and are engaged in various dangerous work beyond the reach of human resources. It is not hard to imagine that in the near future, UAVs would inevitably join in more complex tasks. While UAVs have unique advantages, they also need to pay more attention to maintenance and care to ensure the stability of UAVs in the process of performing tasks and avoid the occurrence of a crash caused by imbalance. For this reason, this paper would set up an automatic balance control method based on Artificial Intelligence (AI) algorithm to study the balance of UAVs with manipulators. Through comparative study with the balance method based on deep learning algorithm, it was found that the method based on AI algorithm can help UAVs better maintain balance. The detection accuracy of the method studied in this paper for UAV flight balance stability was above 96%, and the detection accuracy of UAV automatic balance stability based on deep learning algorithm was below 92%. At the same time, in the face of different influencing factors, the UAV based on artificial intelligence algorithm can also maintain the balance of flight faster and maintain the stability of landing and development flight. Therefore, the research in this paper is meaningful.
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This research is made possible via REIG Grant by UCSI University under REIG-FETBE-2022/053.
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Li, Q., Xing, D., Ilyas, M.A. et al. Autonomous balance control method of unmanned aerial vehicle with manipulator based on artificial intelligence algorithm. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08485-2
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DOI: https://doi.org/10.1007/s00500-023-08485-2