
Research Article
Automatic Track Control Method for Multi-UAV Based on Embedded System
@INPROCEEDINGS{10.1007/978-3-030-67874-6_37, author={Yu-han Jie and Zong-ang Liu}, title={Automatic Track Control Method for Multi-UAV Based on Embedded System}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2021}, month={1}, keywords={Embedded Uav Track control Fuzzy algorithm}, doi={10.1007/978-3-030-67874-6_37} }
- Yu-han Jie
Zong-ang Liu
Year: 2021
Automatic Track Control Method for Multi-UAV Based on Embedded System
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_37
Abstract
In the case of multiple UAVs, the navigation area of UAV is planned to effectively improve the accuracy of track control and ensure the navigation safety. Because there are some problems such as track deviation and delay of obstacle avoidance when using traditional methods to control the multi-UAV track, it is difficult to meet the requirements of track control accuracy and safety, an automatic control method of multi-UAV track based on embedded system is proposed. The mathematic model of UAV track control is designed based on the fuzzy algorithm, in order to obtain the route deviation parameters accurately, and the area range of UAV track is standardized according to the calculation results, and the control steps of UAV track are planned within the track range, so as to achieve the automatic control target of multi-UAV track. The experimental results show that the embedded multi-UAV track automatic control method can effectively solve the problem of large track deviation, and can avoid navigation obstacles and achieve the research goal of effective control of multi-UAV track. The experimental results show that the UAV under the control of this method can avoid obstacles accurately, solve practical problems effectively, it can effectively solve the problems of the traditional methods in track control and obstacle avoidance, it shows that the proposed method has practical application value.