LEO satellite active FTC with aerodynamic disturbance decoupled fault diagnosis

Castaldi, Paolo; Mimmo, Nicola; Simani, Silvio

doi:10.1016/j.ejcon.2019.06.005

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…21,22 In real-world tests, it is not easy to consider any fault for the actuator; sometimes, it takes lots of costs. The conventional methods of fault representation are an additive input term, 23 the control torque characteristic coefficient with bias, 24 variations in the nominal parameters of an actuator, 25 and an extra voltage or current component. 13 With these methods, only modeling and fault effects are considered.…”

Section: Literature Reviewmentioning

confidence: 99%

Designing an adaptive robust observer for underactuation fault diagnosis of a remote sensing satellite

Zarourati

Mirshams

Tayefi

2023

Adaptive Control & Signal

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SummaryThis paper mainly aims at the underactuated case diagnosis due to an actuator failure for a remote sensing satellite. We consider healthy initial conditions for the actuators to investigate the underactuation fault in an attitude tracking control problem. Reaction wheels are the onboard actuators, and a new fault injection mechanism on the speed characteristic is introduced using the multi‐fault function. The fault detection and diagnosis strategy is based on the sliding mode and adaptive sliding mode observers in a finite‐time decision window. The robust observer and adaptive threshold are designed to detect the fault, and the adaptive robust observer estimates the fault model. The residual signal is evaluated by forming the window with fixed thresholds, and in the decision steps, priority is given to the underactuation fault diagnosis. System performance is presented for two actuator fault scenarios in a snapshot imaging mode to understand this case clearly. Numerical simulations close to in‐orbit conditions confirm the satisfactory performance of the proposed strategy that underactuated case is diagnosed by injecting stuck and idle faults around 2.19 and 3.52 s. The times obtained in this study are guaranteed with a 3‐sigma confidence level statistical characteristic. Furthermore, the results of the present work are validated using an air‐bearing experimental test bed to illustrate a more realistic behavior of an underactuated satellite.

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Section: Literature Reviewmentioning

confidence: 99%

Designing an adaptive robust observer for underactuation fault diagnosis of a remote sensing satellite

Zarourati

Mirshams

Tayefi

2023

Adaptive Control & Signal

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“…There are some major decomposition techniques to decouple disturbances. One technology called differential geometric methods (Castaldi et al, 2014(Castaldi et al, , 2020Chakraborty and Vrabie, 2018) was where the disturbance was perfectly decoupled for fault detection and isolation. The other technology called unknown input observers (UIOs) was first proposed by Chen et al (1996) to diagnose faults in linear systems and then extended to Lipschitz nonlinear systems (Komachali and Shafiee, 2020;Nemati et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…The other technology called unknown input observers (UIOs) was first proposed by Chen et al (1996) to diagnose faults in linear systems and then extended to Lipschitz nonlinear systems (Komachali and Shafiee, 2020;Nemati et al, 2019). It should be noted that the differential geometric decomposition method (Castaldi et al, 2014(Castaldi et al, , 2020Chakraborty and Vrabie, 2018) and the traditional UIO decomposition method (Chen et al, 1996;Komachali and Shafiee, 2020;Nemati et al, 2019) were both constrained by some existing conditions that would become invalid in certain scenarios. Therefore, another solution was to apply optimization techniques such as H N method (Zhong et al, 2003) to make the residual robust as much as possible against disturbances.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fast smooth super-twisting observer–based robust fault diagnosis for nonlinear systems

Gao

Zhang

2023

Transactions of the Institute of Measurement and Control

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This study investigates the problem of robust fault diagnosis for nonlinear systems subjected to actuator faults and unknown input disturbances. A novel adaptive fast smooth super-twisting observer based on the super-twisting and adaptive dual-layer algorithms is presented, and a robust fault-diagnosis scheme based on an adaptive threshold is proposed to take the estimation error generated by the observer as the residual. In the adaptive fast smooth super-twisting observer, additional fractional powers less than 1 and linear terms are added to improve the smoothness and rapidity of the observer. The finite-time stability of the adaptive fast smooth super-twisting observer is then analyzed based on the Moreno–Lyapunov function algorithm, and rigorous proof confirms that the estimation-error dynamic is robust to unknown input disturbances and can converge to a region of zero in finite time. Finally, simulations of the rigid spacecraft attitude kinematics and dynamics are used to validate the effectiveness of the developed adaptive fast smooth super-twisting observer and the designed robust fault-diagnosis scheme.

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Adaptive sliding mode fault-tolerant control for satellite attitude tracking system

Sadigh

Kashaninia²,

Dehghan³

2023

Advances in Space Research

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LEO satellite active FTC with aerodynamic disturbance decoupled fault diagnosis

Cited by 7 publications

References 23 publications

Designing an adaptive robust observer for underactuation fault diagnosis of a remote sensing satellite

Designing an adaptive robust observer for underactuation fault diagnosis of a remote sensing satellite

Adaptive fast smooth super-twisting observer–based robust fault diagnosis for nonlinear systems

Adaptive sliding mode fault-tolerant control for satellite attitude tracking system

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