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<p>This paper investigates a self-learning fault reconstruction and fault-tolerant control (FTC) scheme for spacecraft attitude control systems subject to actuator efficiency degradation and sensor faults. A self-learning observer (SLO) is proposed, incorporating a customizable time-varying learning intensity (TLI), designed using an interpolation-based approach. This customizable TLI enables more flexible and accurate estimation of system states and sensor-actuator faults, while effectively suppressing the chattering phenomenon. Based on the proposed observer, a fault-tolerant self-learning control (SLC) scheme is designed to achieve high-precision attitude tracking. Lyapunov stability analysis and the <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(H_{\infty }\)</EquationSource> </InlineEquation> performance criterion guarantee that estimation errors remain ultimately uniformly bounded. Numerical simulations demonstrate its ability to accurately reconstruct actuator and sensor faults, achieve high-performance attitude tracking, and effectively suppress chattering under various scenarios.</p>

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Resilient attitude control under sensor-actuator faults via varying-self-learning observers

  • 期刊论文

  • 发表日期：

    2026年3月2日

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  • Chengxi Zhang,
  • Ruiqiu Lu,
  • Tianle Yin,
  • Zhijian He,
  • Lining Tan,
  • Bing Huang,
  • Dezhi Xu

摘要

This paper investigates a self-learning fault reconstruction and fault-tolerant control (FTC) scheme for spacecraft attitude control systems subject to actuator efficiency degradation and sensor faults. A self-learning observer (SLO) is proposed, incorporating a customizable time-varying learning intensity (TLI), designed using an interpolation-based approach. This customizable TLI enables more flexible and accurate estimation of system states and sensor-actuator faults, while effectively suppressing the chattering phenomenon. Based on the proposed observer, a fault-tolerant self-learning control (SLC) scheme is designed to achieve high-precision attitude tracking. Lyapunov stability analysis and the \(H_{\infty }\) performance criterion guarantee that estimation errors remain ultimately uniformly bounded. Numerical simulations demonstrate its ability to accurately reconstruct actuator and sensor faults, achieve high-performance attitude tracking, and effectively suppress chattering under various scenarios.