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author:

Huang, J. (Huang, J..) [1] | Li, J. (Li, J..) [2] | Zhang, Z. (Zhang, Z..) [3] | Zhao, T. (Zhao, T..) [4] | Vos, S. (Vos, S..) [5]

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Scopus

Abstract:

This paper proposes a predefined-time null-space behavioral control algorithm based on a time-base generator (PTNSBC-TBG) for multi-quadrotor unmanned aerial vehicle (UAV) systems, enabling rigid formation control with collision and obstacle avoidance within a predefined time. First, the UAV kinematic model is incorporated into the task design of null-space behavioral control (NSBC) to ensure that task instructions adhere strictly to the UAV's motion constraints, overcoming the limitations of the classical NSBC method, which relies on a single integrator model. Second, a predefined-time null-space behavioral control algorithm is designed to drive UAVs to form a rigid formation within a specified time in advance. The issue of excessive initial control input is addressed by utilizing a time-base generator (TBG). Additionally, a nonlinear adaptive sliding mode control law based on the TBG is designed to ensure the predefined-time convergence of the UAVs' velocity command tracking error. Finally Numerical simulations and experiment indicate that the proposed PTNSBC-TBG can form a rigid formation within a predefined time. Compared to the algorithm without TBG, the initial control input is significantly reduced, by at least 60%.  © 2026 World Scientific Publishing Company.

Keyword:

multi-UAVs null-space behavior control Predefined time time-base generator

Community:

  • [ 1 ] [Huang J.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Huang J.]The National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, 100081, China
  • [ 3 ] [Huang J.]5G+Industrial Internet Institute, Fuzhou University, Fuzhou, 350108, China
  • [ 4 ] [Li J.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 5 ] [Li J.]5G+Industrial Internet Institute, Fuzhou University, Fuzhou, 350108, China
  • [ 6 ] [Zhang Z.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 7 ] [Zhang Z.]School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, China
  • [ 8 ] [Zhao T.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 9 ] [Zhao T.]5G+Industrial Internet Institute, Fuzhou University, Fuzhou, 350108, China
  • [ 10 ] [Vos S.]Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, NL, Delft, 2628CD, Netherlands

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Source :

Unmanned Systems

ISSN: 2301-3850

Year: 2025

3 . 0 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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