This article investigates the fully distributed event-based time-varying formation control problem for multiple quadrotors with unknown perturbations, input saturation, and switching topologies. A novel adaptive dynamic event-triggered scheme is first formulated to alleviate the communication burden and reduce the resources consumption. Meanwhile, online triggering parameters and dynamic thresholds with updating laws associated with each edge are introduced so that the control protocol can be developed in a fully distributed way and the unnecessary communication can be further reduced for the leader-follower multiquadrotor system with switching topologies without sacrificing the tracking performance. Then, a fully distributed robust formation control protocol using the low gain feedback technique is developed to guarantee the time-varying formation of multiple quadrotors subject to unknown perturbations and input saturation without requiring global information. Furthermore, sufficient conditions are derived to ensure the asymptotic convergence of the formation error and Zeno-freeness. Hardware experiments are conducted to verify the efficiency of the designed controller.
机构:
Department of Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Heilongjiang, Harbin,150001, ChinaDepartment of Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Heilongjiang, Harbin,150001, China
Huang, Bing
Xiao, Yun-Fei
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机构:
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Heilongjiang, Harbin,150001, ChinaDepartment of Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Heilongjiang, Harbin,150001, China
Xiao, Yun-Fei
Feng, Yuan
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机构:
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Heilongjiang, Harbin,150001, ChinaDepartment of Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Heilongjiang, Harbin,150001, China
Feng, Yuan
Yu, Xiu-Ping
论文数: 0引用数: 0
h-index: 0
机构:
College of Intelligent Systems Science and Engineering, Harbin Engineering University, Heilongjiang, Harbin,150001, ChinaDepartment of Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Heilongjiang, Harbin,150001, China
Yu, Xiu-Ping
[J].
Kongzhi Lilun Yu Yingyong/Control Theory and Applications,
2023,
40
(08):
: 1479
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1487