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author:

Zhang, Zhen-Guo (Zhang, Zhen-Guo.) [1] | Chen, Yan-Jie (Chen, Yan-Jie.) [2] | Zhan, Wei-Wei (Zhan, Wei-Wei.) [3] | He, Bing-Wei (He, Bing-Wei.) [4] | Lin, Li-Xiong (Lin, Li-Xiong.) [5] | Wang, Yao-Nan (Wang, Yao-Nan.) [6]

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EI PKU

Abstract:

Unmanned aerial manipulator is a new kind of robot systems that consists of a multi-joint manipulator and flying robot. It can exert a positive influence on the environments, as well as with a complex dynamics properties. Aiming at the system control problems of friction, contact force in dynamic gliding grasping and inertia tensor changing in flying, this paper proposed an integral robust adaptive control strategy for the unmanned aerial manipulator. At first, friction and contact force are introduced in the dynamic modeling, and the inertia tensor is considered as bounded variables to improve accuracy of modeling and grasping. Then, in order to reduce impact of disturbances caused by dynamic gliding grasping on flight control performance, an anti-disturbances robust controller is designed based on interval matrix method to compensate the changes of the inertia tensor. Subsequently, the stability analysis is provided through the Lyapunov stability theory. Finally, the effectiveness and superiority of the proposed method are verified in simulation comparisons. © 2021, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.

Keyword:

Adaptive control systems Antennas Friction Industrial manipulators Manipulators Robots Tensors

Community:

  • [ 1 ] [Zhang, Zhen-Guo]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Chen, Yan-Jie]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Chen, Yan-Jie]National Engineering Laboratory for Robot Visual Perception and Control Technology, Changsha; 410082, China
  • [ 4 ] [Zhan, Wei-Wei]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [He, Bing-Wei]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Lin, Li-Xiong]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 7 ] [Wang, Yao-Nan]College of Electrical and Information Engineering, Hunan University, Changsha; 410082, China
  • [ 8 ] [Wang, Yao-Nan]National Engineering Laboratory for Robot Visual Perception and Control Technology, Changsha; 410082, China

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Source :

Control Theory and Applications

ISSN: 1000-8152

Year: 2021

Issue: 6

Volume: 38

Page: 775-783

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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