Modeling and Observer-Based Vibration Control of a Flexible Spacecraft With External Disturbances

Liu, Yu; Fu, Yun; He, Wei; Hui, Qing

doi:10.1109/tie.2018.2884172

Cited by 171 publications

(49 citation statements)

References 45 publications

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“…With the great development of space technology and industry automatic production, the flexible manipulator, which has advantages including accurate operation and low energy consumption, plays a crucial role in the related fields [1][2][3][4][5]. The dynamics of the flexibility are characterised by partial differential equations (PDEs), and consider the dynamics of the actuators expressed by ordinary differential equations (ODEs), so the flexible manipulators are actually represented by hybrid PDE-ODE systems [5][6][7][8][9][10][11][12][13][14][15][16][17], which can avoid accuracy reducing and high computational complexity from traditional discretisation method. The modelling and control for flexible manipulators based on PDE-ODE systems have been investigated in a large amount of previous works, and many of these assumed that the flexible beams satisfy Euler-Bernoulli beam theory [4,6,8,15,[18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Boundary control and exponential stability of a flexible Timoshenko beam manipulator with measurement delays

Han

Jia

2020

IET Control Theory & Applications

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Section: Introductionmentioning

confidence: 99%

Boundary control and exponential stability of a flexible Timoshenko beam manipulator with measurement delays

Han

Jia

2020

IET Control Theory & Applications

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“…For further enhancing system robustness, the unknown disturbances and system uncertainties should be properly compensated by the control strategies, thus adaptive mechanism [16], sliding mode control method [17], and neural network [18] have been adopted. Recently, observer-based control method has become a valid measure for estimating unknown information of the concerned system [19]- [23]. In [20], a homogenous observer is developed to estimate system states and outputfeedback control law is achieved by adding a power integrator technique.…”

Section: Introductionmentioning

confidence: 99%

Disturbance Observer-Based Finite-Time Speed Control for Marine Diesel Engine With Input Constraints

Liu

Zhang

et al. 2020

IEEE Access

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In this article, a finite-time observer-based speed control strategy for the marine diesel engine is proposed with consideration of system parameter uncertainties, external disturbances and input constraints. Initially, a finite-time disturbance observer is designed, by which the synchronized uncertainties are accurately estimated in the sense of finite-time stability. Based on the observed information, a speed control strategy is proposed, and practical finite-time stability of the closed-loop system is demonstrated by rigorous theoretical analysis. Besides, for solving the input constraints inherent with the speed control system, an auxiliary variable is introduced to compensate the extra part of control output signals. Finally, numerical simulation and comparison are presented. The common operation situations of the marine diesel engines are taken into account, including starting, acceleration and deceleration between speed set points, sudden load changing, varied propulsion system parameters and different slope limits, etc. Comparing with the related existing method, the effectiveness and advantages of the proposed finite-time observer-based control law are illustrated. INDEX TERMS Finite-time control, disturbance observer, input constraints, marine diesel engine.

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“…Many researchers have studied the Euler‐Bernoulli beam because it has practical applications, such as flexible robotic manipulator, flexible satellite, flexible aircraft wing, and nonuniform gantry crane . In the work of Liu et al, a finite‐dimensional backstepping method is adopted to design a boundary controller with a disturbance observer to suppress the vibration of an axially moving belt system.…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural network control for a nonlinear Euler‐Bernoulli beam in three‐dimensional space with unknown control direction

Liu

2019

Intl J Robust & Nonlinear

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Summary In this paper, an adaptive neural network control system is developed for a nonlinear three‐dimensional Euler‐Bernoulli beam with unknown control direction. The Euler‐Bernoulli beam is modeled as a combination of partial differential equations (PDEs) and ordinary differential equations (ODEs). Adaptive radial basis function–based neural network control laws are designed to determine approximation of disturbances. A projection mapping operator is adopted to realize bounded approximation of disturbances. A Nussbaum function is introduced to compensate for the unknown control direction. The goal of this study is to suppress the vibrations of the Euler‐Bernoulli beam in three‐dimensional space. In addition, unknown control direction problem and bounded disturbances are considered to guarantee that the signals of the system are uniformly bounded. Numerical simulations demonstrate the effectiveness of the proposed method.

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Modeling and Observer-Based Vibration Control of a Flexible Spacecraft With External Disturbances

Cited by 171 publications

References 45 publications

Boundary control and exponential stability of a flexible Timoshenko beam manipulator with measurement delays

Boundary control and exponential stability of a flexible Timoshenko beam manipulator with measurement delays

Disturbance Observer-Based Finite-Time Speed Control for Marine Diesel Engine With Input Constraints

Adaptive neural network control for a nonlinear Euler‐Bernoulli beam in three‐dimensional space with unknown control direction

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