Underactuated attitude tracking control of tethered spacecraft for deployment and spin-up

Tian, Haochang; Li, Aijun; Wang, Yu

doi:10.1016/j.asr.2023.01.052

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…For instance, the statistical analysis of TLE [9] distinguishes 9 remote sensing satellite constellation categories. Besides that, an ensemble of machine learning models (an autoencoder and a decision tree) can be applied to classify satellites in LEO by their orbital states [10]. This conducted research demonstrates the high accuracy of the classifications (>90%) obtained after training ML models on the historical sets of TLE records.…”

Section: Intoductionmentioning

confidence: 80%

Resident space objects classification by machine learning techniques

Samorodova

2024

J. Phys.: Conf. Ser.

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In recent years the number of resident space objects in near-Earth space has been increasing drastically, which can lead to a “cascade collisions” effect and other catastrophic consequences. Therefore, it is crucial to monitor resident space objects, maintain and update catalogues on time, including the identification of unknown space objects to estimate their location and potential orbit. It is necessary to perform resident space object identification quickly and accurately to avoid possible satellite collisions resulting in large clouds of uncontrollable space debris fragments. That is why the task of resident space object preliminary classification by TLEs is stated and solved by applying machine learning approaches to achieve a higher classification quality and speed. This issue is a highly imbalanced classification problem, which narrows and specifies the used models. Applying the proposed resident space object classification model to space surveillance systems can decrease the time required for the object identification significantly.

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Section: Intoductionmentioning

confidence: 80%

Resident space objects classification by machine learning techniques

Samorodova

2024

J. Phys.: Conf. Ser.

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“…As can be seen, the disturbance δ 1 with the bound kδ 1 k = δ 1m ≤ kM 12 kD m is formulated by the disturbance D and the linear matrix M 12 , indicating that the auxiliary system (18) designed based on the error dynamics (15) does not compute the real or bounded value of δ 1 .…”

Section: Controller Without Radial Control Controller Designmentioning

confidence: 99%

“…An optimization-based motion planning approach proposed by Ali Mehrparwar et al 17 is applied to control an underactuated spacecraft with the non-diagonal inertia matrix and two reaction wheels. Also, Tian et al 18 studied the underactuated attitude control problem for tethered spacecraft and developed an adaptive controller. With respect to the underactuated relative orbital control category, the radial and along-track states are coupled in the relative dynamics, 19 while the normal state is independent in the third channel.…”

Section: Introductionmentioning

confidence: 99%

Feasibility analysis and saturation control for underactuated spacecraft formation reconfiguration in elliptic orbits

Shao,

Zhou,

Xiao

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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This work proposes a saturation control scheme for underactuated spacecraft formation reconfiguration in elliptic orbits without radial or along-track thrust. Firstly, the rank criterion method is applied to analyze the controllability and feasibility of formation reconfiguration by linearizing the linear time-varying dynamics to linear time-invariant ones. Based on the inherent coupling of the linear time-varying system, the underactuated error dynamics are presented for either underactuated case. Subsequently, the developed underactuated saturation controller can ensure that the time-varying system trajectory asymptotically converges to the specified configuration. The Lyapunov-based analysis presents the constraint conditions of controller parameters and the stable reconfiguration accuracy of the system states. Finally, numerical simulations for both underactuated scenarios are performed in the environment with J2 perturbation to verify the validity of the proposed underactuated control scheme.

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Active underactuation fault‐tolerant backstepping attitude tracking control of a satellite with interval error constraints

Zarourati,

Mirshams,

Tayefi

2024

Adv Control Appl

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Underactuation poses a significant challenge to space mission control and performance. This article investigates the non‐linear attitude tracking control problem for a remote sensing satellite underactuated by a reaction wheel (RW) actuator fault. First, a timeline close to the in‐orbit reality of an underactuation fault is presented. Then, the fault detection and diagnosis strategy is performed in a finite‐time decision window. The failed actuator is excluded from the control loop by forming the proposed reconfiguration window to transition from a 3 RWs configuration to 2 RWs. The underactuation fault‐tolerant control is designed according to the active method, where the adaptive robust control law employed for fault‐free conditions is switched to the underactuated attitude tracking control (UATC). The structure of UATC is based on kinematic and adaptive backstepping dynamic controllers. The effect of unknown bounded external disturbances is considered with an adaptive estimation term. The asymptotic stability of the closed‐loop control system is proved via Lyapunov theory in the presence of parametric uncertainty. Due to the underactuation, a new approach proposed in the prescribed performance function is interval error constraints, which include the pointing accuracy and stability requirements in imaging time intervals. Finally, the results of the multidisciplinary simulation and experimental test confirm the applicability of the underactuation fault‐tolerant control.

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Underactuated attitude tracking control of tethered spacecraft for deployment and spin-up

Cited by 4 publications

References 30 publications

Resident space objects classification by machine learning techniques

Resident space objects classification by machine learning techniques

Feasibility analysis and saturation control for underactuated spacecraft formation reconfiguration in elliptic orbits

Active underactuation fault‐tolerant backstepping attitude tracking control of a satellite with interval error constraints

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