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author:

Zhu, An (Zhu, An.) [1] | Chen, Li (Chen, Li.) [2] (Scholars:陈力)

Indexed by:

EI PKU CSCD

Abstract:

In order to prevent the joints from being damaged by impact load in the process of dual-arm space robot capture satellite operation, a spring-damper device (SDD) is added between the motor and the manipulator. The device can not only absorb and attrition the impact energy, but also limit the impact force to a safe range through reasonable and coordinated design the compliance strategy. Firstly, the dynamic mode of dual-arm space robot open-loop system and target satellite system before capturing are established by using Lagrange function based on dissipation theory and Newton- Euler function respectively. After that, combined with momentum theorem, velocity constraints, closed-chain geometric constraints and Newton's third law, the closed-chain dynamic model of hybrid system after capture is obtained. For realize buffer and compliance control of hybrid system, a reinforcement learning control strategy based on fuzzy wavelet network is proposed. In this strategy, the primitive reinforcement signal be strengthened by adaptive critic element to obtain the secondary reinforcement signal, and makes controller has strong environmental adaptability. Finally, the stability of the system is proved by Lyapunov theorem, and the impact resistance of the device and the effectiveness of the proposed strategy are verified by numerical simulation. © 2022, Editorial Department of Control Theory & Applications South China University of Technology. All right reserved.

Keyword:

Compliance control Deep learning Fuzzy logic Hybrid systems Learning algorithms Manipulators Reinforcement learning Robots System stability

Community:

  • [ 1 ] [Zhu, An]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Chen, Li]College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

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Source :

Control Theory and Applications

ISSN: 1000-8152

CN: 44-1240/TP

Year: 2022

Issue: 1

Volume: 39

Page: 117-129

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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