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author:

Chen, Yanjie (Chen, Yanjie.) [1] | Liang, Jiacheng (Liang, Jiacheng.) [2] | Miao, Zhiqiang (Miao, Zhiqiang.) [3] | Wang, Yaonan (Wang, Yaonan.) [4]

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EI

Abstract:

This paper considers the problem of the formation control for multiple underactuated quadrotor UAVs without linear velocity measurements. The objective of this paper is expected to realize smooth formation performances for a quadrotor group. A distributed formation controller is designed directly using rotation matrices to obviate the singularities associated with the Euler-angles or the ambiguity of quaternions. A two-step procedure is adopted for the control development after transforming the dynamics of each quadrotor into a new form. At first, an intermediary control variable is introduced to achieve the formation control, where some auxiliary systems are designed in the presence of lacking linear velocity measurements. Then, based on the thrust force and reference angular velocity decoded from the intermediary control variable, the torque input of each quadrotor is proposed for angular velocity tracking. The case of formation control with a virtual leader is also investigated, where at least one quadrotor has the information of the leader. The asymptotic stability of the proposed control system is analyzed by Lyapunov-like tools, and the effectiveness of the proposed control method is verified by simulation studies. The simulation results show that the proposed method can guide the quadrotor group to form the desired formation smoothly without linear velocity feedback, which has great potentials for the UAV group to execute the challenging mission in hostile environments. © 2021, ICROS, KIEE and Springer.

Keyword:

Angular velocity Asymptotic stability Drones Feedback Matrix algebra Velocity measurement

Community:

  • [ 1 ] [Chen, Yanjie]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Chen, Yanjie]National Engineering Laboratory for Robot Visual Perception and Control Technology, Changsha; 410082, China
  • [ 3 ] [Liang, Jiacheng]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Miao, Zhiqiang]College of Electrical and Information Engineering, Hunan University, Changsha; 410082, China
  • [ 5 ] [Miao, Zhiqiang]National Engineering Laboratory for Robot Visual Perception and Control Technology, Changsha; 410082, China
  • [ 6 ] [Wang, Yaonan]College of Electrical and Information Engineering, Hunan University, Changsha; 410082, China
  • [ 7 ] [Wang, Yaonan]National Engineering Laboratory for Robot Visual Perception and Control Technology, Changsha; 410082, China

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Source :

International Journal of Control, Automation and Systems

ISSN: 1598-6446

Year: 2021

Issue: 10

Volume: 19

Page: 3464-3474

2 . 9 6 4

JCR@2021

2 . 5 0 0

JCR@2023

ESI HC Threshold:105

JCR Journal Grade:2

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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