Neural-Network-Based Adaptive Finite-Time Output Feedback Control for Spacecraft Attitude Tracking

Zhao, Lin; Yu, Juan; Chen, Xinkai

doi:10.1109/tnnls.2022.3144493

Cited by 22 publications

(9 citation statements)

References 48 publications

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“…Input: The parameters τ 1 , τ i , and b in intermediate variables (16); the parameters ℓ > 0, ψ > 0, and β > 1 in virtual control laws (21), (31), and (45) and actual controller (53); the parameters γ i > 0, ℓ > 0, µ > 0, and ψ > 0 in adaptive laws (22), (32), ( 46), (54), and (55); the parameter δ i in disturbance observers (23), (33), (44)…”

Section: Algorithm 1 Algorithm To Design Fixed-time Fuzzy Controllermentioning

confidence: 99%

“…It is worth noting that a limitation of finite-time control is its dependence on the initial states for convergence time [20][21][22][23]. The applicability of finite-time control is impeded by the necessity to have information about initial states for determining convergent time, a requirement that may not always be met due to uncertainties in the initial conditions in real-world applications [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Fuzzy Fixed-Time Control for Uncertain Nonlinear Systems with Mismatched Disturbances

Luo,

Zhang,

2024

Symmetry

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This paper focuses on addressing the adaptive fuzzy fixed-time issue for a class of nonlinear systems with uncertainty functions and mismatched disturbances. Fuzzy logical systems are utilized for identifying unknown functions. Additionally, to tackle challenges posed by mismatched disturbances, disturbance observers are constructed based on the backstepping method. Utilizing the adding one power integrator approach and the fixed-time control method, this paper introduces a fixed-time adaptive fuzzy control algorithm. Notably, this algorithm accommodates the presence of unknown mismatched disturbances and nonlinear functions. The paper establishes, through the application of the Lyapunov stability theory, that the designed adaptive fixed-time fuzzy control algorithm ensures practical fixed-time stability for the resulting closed-loop systems. Finally, the effectiveness of the derived strategy is demonstrated through an illustrative example involving two cases.

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Section: Algorithm 1 Algorithm To Design Fixed-time Fuzzy Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Fuzzy Fixed-Time Control for Uncertain Nonlinear Systems with Mismatched Disturbances

Luo,

Zhang,

2024

Symmetry

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“…To improve the robustness, an adaptive constrained controller using FLS was proposed for the flight vehicles [27]. A NN-based adaptive attitude controller was designed for the spacecraft [28]. Moreover, an adaptive switching control method using NN was proposed for a nonlinear system [29].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Approximation Sliding-Mode Control of an Uncertain Continuum Robot with Input Nonlinearities and Disturbances

2024

Applied Bionics and Biomechanics

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This paper develops an adaptive nonsingular fast terminal sliding-mode control (ANFTSMC) scheme for the continuum robot subjected to uncertain dynamics, external disturbances, and input nonlinearities (e.g., actuator deadzones/faults). Concretely, a function approximation technique (FAT) is utilized to estimate unknown robot dynamics and actuator deadzones/faults online. Furthermore, a disturbance observer (DO) is devised to make up for unknown external disturbances. Then, an ANFTSMC scheme combined with FAT and DO is developed, to expedite the restoration of the stability for the continuum robot. The proposed ANFTSMC not only can retain the benefits of traditional terminal sliding-mode control (TSMC), containing easy enforcement, quick response, and robustness to uncertainties but also dispose of the latent singularity for traditional faster TSMC designs. Afterward, the simulation results show that the proposed controller can effectively improve the trajectory tracking accuracy of the continuum robot, and the tracking root-mean-square errors are 0.0115 and 0.0128 rad. Finally, the effectiveness of ANFTSMC scheme is validated by experiments.

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“…[17] designed a finite-time extended-state observer-based output feedback control for attitude maneuvering and the disturbance rejection of a rigid spacecraft in the presence of the actuator fault. A saturated neural-network-based adaptive output feedback attitude control with finite-time convergence has been developed in [18]. The unknown angular velocity is first estimated by a neural-state observer, and a command-filtered back-stepping control is then designed, such that the computation complexity problem is effectively resolved.…”

Section: Introductionmentioning

confidence: 99%

Output Feedback Control for Spacecraft Attitude System with Practical Predefined-Time Stability Based on Anti-Windup Compensator

et al. 2023

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This paper investigates the problem of output feedback attitude control for rigid spacecraft subject to inertia matrix uncertainty, space disturbance, and input saturation. Firstly, a model transformation is adopted to convert an attitude system with immeasurable angular velocity into a new system. All states of the new converted system are measurable and available for feedback; however, the system contains mismatched uncertainty resulting from the coordinate transformation. Then, an adaptive nonsingular back-stepping control with practical predefined-time convergence is designed. To resolve the problem of input saturation, an anti-windup compensator is developed. It is analytically proved that the spacecraft attitude and angular velocity are practical predefined-time stable, such that the convergence time is a given tunable constant. The simulation results reveal that the proposed control framework provides rapid attitude maneuver and actuator saturation elimination.

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Neural-Network-Based Adaptive Finite-Time Output Feedback Control for Spacecraft Attitude Tracking

Cited by 22 publications

References 48 publications

Adaptive Fuzzy Fixed-Time Control for Uncertain Nonlinear Systems with Mismatched Disturbances

Adaptive Fuzzy Fixed-Time Control for Uncertain Nonlinear Systems with Mismatched Disturbances

Adaptive Approximation Sliding-Mode Control of an Uncertain Continuum Robot with Input Nonlinearities and Disturbances

Output Feedback Control for Spacecraft Attitude System with Practical Predefined-Time Stability Based on Anti-Windup Compensator

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