Dynamic Event-Triggered Formation Control for Multiple Quadrotor UAVs

Author(s):  
Wang Hongbin ◽  
Zhou Zhen ◽  
Wang Yueling ◽  
Zhang Mingquan ◽  
Xue Xiaojun
2021 ◽  
pp. 4983-4993
Author(s):  
Jianan Wang ◽  
Qingbiao Kuang ◽  
Dandan Wang ◽  
Chunyan Wang ◽  
Jiayuan Shan

2020 ◽  
Vol 10 (8) ◽  
pp. 2814 ◽  
Author(s):  
Anh Tung Nguyen ◽  
Thanh Binh Nguyen ◽  
Sung Kyung Hong

This paper investigates the problem of the time-varying formation control of a second-order dynamic agent based on a distributed dynamic event-triggered algorithm. In this problem, each agent can exchange the information of its position and velocity with its neighbors via limited communication ability. Our approach provides a new dynamic event triggering mechanism to reduce the number of triggering times while maintaining satisfactory control performance. Further, a novel Lyapunov function is proposed to guarantee that the group of agents asymptotically tracks the desired time-varying formation trajectory. The practical applicability of the event triggering mechanism is also indicated by excluding the Zeno behavior in the proposed control algorithm. Finally, the validity and effectiveness of the proposed method are demonstrated via illustrative examples of the time-varying formation flight for six quadcopters.


Author(s):  
Jianan Wang ◽  
Changyu Bi ◽  
Dandan Wang ◽  
Qingbiao Kuang ◽  
Chunyan Wang

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Zhen Zhou ◽  
Hongbin Wang ◽  
Zhongquan Hu

Time varying formation control problem for a group of quadrotor unmanned aerial vehicles (UAVs) under Markovian switching topologies is investigated through a modified dynamic event-triggered control protocol. The formation shape is specified by a time varying vector, which prescribes the relative positions and bearings among the whole agents. Instead of the general stochastic topology, the graph is governed by a set of Markov chains to the edges, which can recover the traditional Markovian switching topologies in line with the practical communication network. The stability proof for the state space origin of the overall closed-loop system is derived from the singular perturbation method and Lyapunov stability theory. An event-triggered formation control protocol in terms of a dynamically varying threshold parameter is delicately carried out, while acquiring satisfactory resource efficiency, and Zeno behavior of triggering time sequences is excluded. Finally, simulations on six quadrotor UAVs are given to verify the effectiveness of the theoretical results.


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