Adaptive global prescribed performance control for rigid spacecraft subject to angular velocity constraints and input saturation

This article investigates the prescribed performance attitude tracking control issue of rigid spacecraft subject to angular velocity constraints, input saturation, actuator failures, external disturbances and inertia uncertainty. With the aid of a shifting function, we propose the global asymmetrica...

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Bibliographic Details
Published inNonlinear dynamics Vol. 111; no. 23; pp. 21691 - 21705
Main Authors Su, Yuhan, Shen, Shaoping
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.12.2023
Springer Nature B.V
Subjects
Actuator failure
Adaptive control
Angular velocity
Automotive Engineering
Classical Mechanics
Control
Controllers
Design
Disturbances
Dynamical Systems
Engineering
Error reduction
Fragility
Kinematics
Mathematical analysis
Mechanical Engineering
Neural networks
Original Paper
Spacecraft attitude control
Spacecraft tracking
Stability analysis
Tracking control
Tracking errors
Velocity
Vibration
Fragility-preventing coefficient
Angular velocity limits
Shifting function
Global asymmetrical performance functions
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Summary:This article investigates the prescribed performance attitude tracking control issue of rigid spacecraft subject to angular velocity constraints, input saturation, actuator failures, external disturbances and inertia uncertainty. With the aid of a shifting function, we propose the global asymmetrical prescribed performance functions that guarantee the fixed-time convergence of the tracking error, while simultaneously reducing the overshoot and eliminating the dependence on the initial system conditions. To address the fragility problem inherent in the traditional prescribed performance control, a fragility-preventing coefficient is devised to enable the flexible readjustment of the performance boundaries under the different conditions of input saturation and disturbances. Then, a transformation function is introduced to handle attitude performance constraints and angular velocity limits. Moreover, the neural network is employed to estimate the unknown function. Finally, both stability analysis and numerical simulations are provided to manifest the effectiveness and advantages of the proposed approach.
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ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-023-08979-6