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author:

Chen, Yanjie (Chen, Yanjie.) [1] | Lan, Limin (Lan, Limin.) [2] | Liu, Xincheng (Liu, Xincheng.) [3] | Zeng, Guohang (Zeng, Guohang.) [4] | Shang, Changjing (Shang, Changjing.) [5] | Miao, Zhiqiang (Miao, Zhiqiang.) [6] | Wang, Hesheng (Wang, Hesheng.) [7] | Wang, Yaonan (Wang, Yaonan.) [8] | Shen, Qiang (Shen, Qiang.) [9]

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EI

Abstract:

In this article, an robust adaptive stiffness visual servoing control method is proposed to guarantee a compliant physical interaction with a prescribed performance of the unmanned aerial manipulator (UAM) in the presence of disturbances and modeling uncertainties. First, to address the slow response speed of visual servoing control when image features change, a visual servo position controller with prescribed performance is adopted to enhance the convergence speed through the gradually convergent error boundary. Second, considering the influence of disturbances and modeling uncertainties caused by the flight platform on the admittance accuracy during physical interaction, an robust adaptive stiffness physical interaction controller is introduced, generating stable admittance command image features to ensure a reliable interaction force. Finally, physical comparative and real-world experimental studies are conducted to validate the feasibility and performance of the proposed method. The results demonstrate that the UAM under control is capable of exhibiting specified performance during contact operations, allowing smooth adaptation to changes in contact forces. © 1982-2012 IEEE.

Keyword:

Antennas Controllers Image enhancement Manipulators Stiffness Target tracking Uncertainty analysis Visual servoing

Community:

  • [ 1 ] [Chen, Yanjie]Fuzhou University, School of Mechanical Engineering And Automation, Fuzhou; 350108, China
  • [ 2 ] [Chen, Yanjie]Ministry of Education, Key Laboratory of System Control And Information Processing, Shanghai; 200240, China
  • [ 3 ] [Chen, Yanjie]Aberystwyth University, Department of Computer Science, Aberystwyth; SY23 3DB, United Kingdom
  • [ 4 ] [Lan, Limin]Fuzhou University, School of Mechanical Engineering And Automation, Fuzhou; 350108, China
  • [ 5 ] [Liu, Xincheng]Fuzhou University, School of Mechanical Engineering And Automation, Fuzhou; 350108, China
  • [ 6 ] [Zeng, Guohang]Fuzhou University, School of Mechanical Engineering And Automation, Fuzhou; 350108, China
  • [ 7 ] [Shang, Changjing]Aberystwyth University, Department of Computer Science, Aberystwyth; SY23 3DB, United Kingdom
  • [ 8 ] [Miao, Zhiqiang]Hunan University, College of Electrical And Information Engineering, Changsha; 410082, China
  • [ 9 ] [Wang, Hesheng]Shanghai Jiao Tong University, Department of Automation, Shanghai; 200240, China
  • [ 10 ] [Wang, Yaonan]Hunan University, College of Electrical And Information Engineering, Changsha; 410082, China
  • [ 11 ] [Shen, Qiang]Aberystwyth University, Department of Computer Science, Aberystwyth; SY23 3DB, United Kingdom

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Source :

IEEE Transactions on Industrial Electronics

ISSN: 0278-0046

Year: 2024

Issue: 9

Volume: 71

Page: 11028-11038

7 . 5 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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