有效载荷(计算)
四轴飞行器
控制理论(社会学)
计算机科学
稳健性(进化)
控制器(灌溉)
鲁棒控制
反推
控制工程
控制系统
航空航天工程
工程类
自适应控制
网络数据包
控制(管理)
计算机网络
农学
生物化学
化学
电气工程
人工智能
生物
基因
作者
Xiao Wei Han,Ryo Miyazaki,Tianhua Gao,Kohji Tomita,Akiya Kamimura
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:10: 122197-122210
被引量:6
标识
DOI:10.1109/access.2022.3222031
摘要
Quadcopter is a type of unmanned aerial vehicle (UAV) that offers excellent flight ability albeit with relatively low payload. Despite its widespread use for transportation, improving its robustness against disturbances and carrying capacity has been challenging. Thus, this study proposed a cable suspended multi-UAVs transportation system with a controller and disturbance observer that is highly robust against disturbances. The primary objective of this study is to design a robust controller and disturbance observer by considering the effect of the cable-suspended payload on the UAV as a part of the disturbance. Consequently, reducing the complexity of the problem and allowing a range of algorithms to be used. A controller and disturbance observer are designed based on backstepping control and the extended state of the model, respectively, to control the flight of the multiple UAVs while carrying a cable-suspended payload. Further, to exploit the agility of quadcopters and avoid obstacles, a virtual structure based leader-follower dynamic formation scheme is introduced to change the formation geometry during the flight with cable suspended payload. This scheme does not make any assumption regarding the status of cable tension during the flight and thus no feedback measurement is required from payload. Moreover, the stability analysis of the proposed system is verified theoretically based on Lyapunov stability and through indoor experiments.
科研通智能强力驱动
Strongly Powered by AbleSci AI