Distributed vibration control for flexible spacecraft with distributed disturbance and actuator fault

Ji, Ning; Liu, Jinkun

doi:10.1016/j.jsv.2020.115274

Cited by 28 publications

(20 citation statements)

References 30 publications

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“…14 Actuator failure will not only change the motion state of the system, but also cause greater deformation and vibration in flexible components, which may further deteriorate the system performance. To avoid this problem, fault-tolerant control (FTC) has been developed for flexible systems modeled by ordinary differential equations (ODEs) 15,16 or PDEs, [17][18][19][20] attracting significant attention. Cao et al 17 expressed the dynamic model of a marine detection robot system with flexible components, and designed an adaptive FTC method to realize motion and vibration control.…”

Section: Introductionmentioning

confidence: 99%

“…To suppress vibration, an adaptive FTC was developed for a flexible spacecraft. 18 Liu et al 19 presented an adaptive FTC scheme to stabilize the vibrating flexible panel of the spacecraft under unknown actuator failures and disturbances. Gao et al 20 investigated a flexible aircraft wing system with actuator failures and presented an adaptive boundary FTC scheme for stabilizing vibration.…”

Section: Introductionmentioning

confidence: 99%

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Event‐triggered adaptive fault‐tolerant vibration control for a flexible robotic manipulator based on the partial differential equation model

Liu

2022

Adaptive Control & Signal

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Summary This study investigates the event‐triggered adaptive control issues of a flexible manipulator when the control system is implemented over a network. The flexible manipulator has two actuators, which receive signals from the controller through the communication network. Given the limited communication problem of network and potential actuator failures, an event‐triggered adaptive fault‐tolerant controller is proposed based on the partial differential equation model. In our design, two event‐triggering mechanisms are introduced to avoid continuous signal transmission from the controller to the actuator. Then, an adaptive law using the projection mapping operator is designed to compensate for the impact of actuator failures. By employing the proposed control scheme, angular position tracking and vibration elimination can be achieved while reducing signal transmission, regardless of actuator failure. All closed‐loop signals are proved to be uniformly ultimately bounded. The control performance is demonstrated by numerical simulations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Event‐triggered adaptive fault‐tolerant vibration control for a flexible robotic manipulator based on the partial differential equation model

Liu

2022

Adaptive Control & Signal

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“…It is well known that the requirement for increasing productivity by high performance robots which can be partly quantified by a high-speed operation, 1 high-end position accuracy, 2 and dexterous manipulation 3 has triggered a huge amount of attention in various multidisciplinary areas, such as humanoid, flexible aircraft wing, rehabilitation exoskeleton robot, 4,5 and so forth. The rigid-flexible robotic system is made up of a rigid link and a flexible link driven via the joint motor.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive fault‐tolerant control using RBF‐based neural network for a rigid‐flexible robotic system with unknown control direction

Wang

Zhou

Tian

2021

Intl J Robust & Nonlinear

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In this article, a radial basis function (RBF)-based robust adaptive fault-tolerant control (FTC) is developed for a class of rigid-flexible robotic systems under actuator failures, unknown control direction, and uncertain external disturbances. The dynamics of the rigid-flexible robotic over a vertical plane is governed by the hybrid ordinary differential equations-partial differential equations. The uncertain external disturbance is estimated via an RBF neural network. Meanwhile, the robust adaptive FTC law is utilized to follow the given joint angular and attenuate the vibration of the flexible structure in the case of actuator failures and unknown distributed disturbances. To handle the unknown control direction, the Nussbaum function is employed to robust FTC laws. By virtue of the Lyapunov direct approach, the trajectory tracking and vibration elimination for the controlled rigid-flexible robotic system are proved and uniformly bounded in face of bounded external disturbances and unknown control directions. The efficacy of the developed control strategy is also illustrated via four comparison examples.

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“…Xing and Liu (2018) used a switching FTC strategy based on a coupled ordinary differential equation (ODE)–PDE model to suppress vibration and ensure stability during actuator fault in a vehicle-mounted flexible manipulator control system. Ji and Liu (2020) investigated a distributed actuator FTC problem of a flexible spacecraft. Zhang et al (2019) successfully designed an adaptive control scheme to overcome actuator fault in a flexible aircraft wing system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fault-tolerant boundary vibration control for a flexible aircraft wing against actuator and sensor faults

Gao

Liu

2021

Journal of Vibration and Control

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The vibration control problem was investigated in this study in the presence of unknown loss of actuator effectiveness fault and loss of sensor effectiveness fault in a flexible aircraft wing system. A series of partial differential equations was used as the mathematical model of the wing with unknown boundary disturbances. An adaptive fault-tolerant boundary controller was designed accordingly. All signals of the closed-loop control system are globally uniformly bounded and the controlled state asymptotically converges. Numerical simulations were conducted to validate the proposed control scheme.

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Distributed vibration control for flexible spacecraft with distributed disturbance and actuator fault

Cited by 28 publications

References 30 publications

Event‐triggered adaptive fault‐tolerant vibration control for a flexible robotic manipulator based on the partial differential equation model

Event‐triggered adaptive fault‐tolerant vibration control for a flexible robotic manipulator based on the partial differential equation model

Robust adaptive fault‐tolerant control using RBF‐based neural network for a rigid‐flexible robotic system with unknown control direction

Adaptive fault-tolerant boundary vibration control for a flexible aircraft wing against actuator and sensor faults

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