Abstract
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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Acknowledgements
This research is supported by the National Natural Science Foundation (NNSF) of China under Grants 61333008, 61603320, 61733017 and 61673327 and Xiamen Key Lab. Of Big Data Intelligent Analysis and Decision.
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Su, Y., Shen, S. Adaptive global prescribed performance control for rigid spacecraft subject to angular velocity constraints and input saturation. Nonlinear Dyn 111, 21691–21705 (2023). https://doi.org/10.1007/s11071-023-08979-6
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DOI: https://doi.org/10.1007/s11071-023-08979-6