2022
DOI: 10.1016/j.ast.2022.107751
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A novel learning observer-based fault-tolerant attitude control for rigid spacecraft

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Cited by 20 publications
(8 citation statements)
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“…For simulation, the initial values of indicator function and failure parameter estimates are chosen as: χ 1i ð0Þ = 1, i = 1, 2, 3, 4, χ 2i ð0Þ = 0, χ 3i ð0Þ = 0, i = 1, 2, 3; θ 1ðiÞ ð0Þ = ½0, 0 T , andθ 4ðiÞ ð0Þ = ½0, 0 T . Basis functions of failure model (10) and disturbance model ( 4) are ϖ 1 ðtÞ = ϖ 4 ðtÞ = ½1, sin ð0:25tÞ T ∈ R 2 and ϖ d1 = ϖ d2 = ϖ d3 = ½1, sin ð0:01tÞ, cos ð0:01tÞ T ∈ R 3 .…”
Section: Simulation Conditionsmentioning
confidence: 99%
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“…For simulation, the initial values of indicator function and failure parameter estimates are chosen as: χ 1i ð0Þ = 1, i = 1, 2, 3, 4, χ 2i ð0Þ = 0, χ 3i ð0Þ = 0, i = 1, 2, 3; θ 1ðiÞ ð0Þ = ½0, 0 T , andθ 4ðiÞ ð0Þ = ½0, 0 T . Basis functions of failure model (10) and disturbance model ( 4) are ϖ 1 ðtÞ = ϖ 4 ðtÞ = ½1, sin ð0:25tÞ T ∈ R 2 and ϖ d1 = ϖ d2 = ϖ d3 = ½1, sin ð0:01tÞ, cos ð0:01tÞ T ∈ R 3 .…”
Section: Simulation Conditionsmentioning
confidence: 99%
“…Excellent overviews were provided by the survey papers [8,9] to make FTC designs for spacecraft control system. In [10], a fault tolerant control scheme was proposed for spacecraft attitude stabilization by integrating learning observer and backstepping control design. A novel adaptive event-triggered controller was designed to handle disturbances, model uncertainties, actuator failures, and limited communication, simulta-neously [11].…”
Section: Introductionmentioning
confidence: 99%
“…Inspired by the previous learning observer design [24], we designed an improved learning observer design scheme for the efficiency factor of the actuator. The actuator loss of effectiveness fault E(t) is a diagonal matrix, and E(t)u in Equation ( 2) can be written as…”
Section: Design Of Learning Observermentioning
confidence: 99%
“…Moreover, by combining the adaptive algorithms with the sliding mode controllers, fast convergence of the FTC in finite time has been achieved (Sadigh et al., 2023; Xia et al., 2019), and the performances of the closed‐loop FTC were correspondingly enhanced. In addition to the above methods, fault estimation observers such as augmented observer (Qian et al., 2020), learning observer (Cao et al., 2022), and extended state observer (B. Li et al., 2017), have combined with the adaptive finite time controllers to implement the adaptive finite time composite FTC (Ali et al., 2023). These finite time control methods provide excellent FTC performance for ACSs of satellites but still need to be improved.…”
Section: Introductionmentioning
confidence: 99%