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[期刊论文]

Adaptive neural network fault-tolerant control and residual vibration suppression for flexible-arm space robot with attitude-controlled base

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author:

Lei, Ronghua (Lei, Ronghua.) [1] | Chen, Li (Chen, Li.) [2] (Scholars:陈力)

Indexed by:

EI Scopus PKU CSCD

Abstract:

Aiming at the space robot system of floating-based attitude-controlled flexible arm with partial actuator failure, the fault-tolerant control of actuator fault and the active suppression of residual vibration of flexible arm were studied. The dynamic differential equation of the system was established by combining the assumed mode method, the conservation theorem of linear momentum and the Lagrangian equation of the second kind. Based on the singular perturbation theory, the system was decomposed into a slow-varying subsystem representing the attitude of the base and joint trajectory tracking and a fast-varying subsystem representing the residual vibration of the flexible arm. Based on this, a compound controller was designed, which is composed of an adaptive neural network fault-tolerant controller of the slow-varying subsystem and a linear quadratic optimal regulator of the fast-varying subsystem. The fault-tolerant controller of the slow-varying subsystem makes the system insensitive to actuator faults and ensures the asymptotic convergence of the tracking error; the optimal regulator of the fast-varying subsystem can effectively restrain the residual vibration caused by the flexible arm and reduce the energy loss. The correctness of the theoretical derivation and the feasibility of the compound control strategy are verified by numerical simulation. © 2020, Editorial Office of Journal of Vibration and Shock. All right reserved.

Keyword:

Actuators Adaptive control systems Controllers Differential equations Energy dissipation Fault tolerance Flexible manipulators Neural networks Perturbation techniques Quadratic programming Robotic arms

Community:

  • [ 1 ] [Lei, Ronghua]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Chen, Li]School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • 陈力

    [chen, li]school of mechanical engineering and automation, fuzhou university, fuzhou; 350116, china

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Related Article:

Source :

Journal of Vibration and Shock

ISSN: 1000-3835

CN: 31-1316/TU

Year: 2020

Issue: 7

Volume: 39

Page: 156-162

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

30 Days PV: 5

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