Adaptive Pose Tracking Control for Spacecraft Proximity Operations Under Motion Constraints

Dong, Hongyang; Hu, Qinglei; Liu, Yueyang; Akella, Maruthi R.

doi:10.2514/1.g004231

Cited by 26 publications

(3 citation statements)

References 33 publications

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“…This interest has been largely demonstrated by commercial servicing programs proposed by both private companies like Infinite Orbits or Astroscale with the ELSA-D mission [1], as well as by public agencies (e.g. NASA's Restore-L mission [2]), in close proximity to an RSO which is cooperative and providing information on its state, despite being uncontrolled [15][16][17][18]. In [19], the target is assumed to be uncontrolled and uncooperative (at least actively), therefore its state is estimated through the knowledge of some fiducial markers on the docking interface.…”

Section: Introductionmentioning

confidence: 99%

Guidance Strategy for Autonomous Inspection of Unknown Non-Cooperative Resident Space Objects

Maestrini

Lizia

2022

Journal of Guidance, Control, and Dynamics

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As space debris has become a cause of concern for space operations around Earth, active debris removal and satellite servicing missions have gained increasing attention. Within this framework, in specific scenarios, the chaser might be asked to operate autonomously in the vicinity of a non-cooperative, unknown target. This paper presents a sampling-based receding-horizon motion planning algorithm that selects inspection maneuvers while taking many complex constraints into account. The proposed guidance solution is compared with classical approaches and it is shown to take advantage of the characteristics of the natural dynamics of the relative motion to outperform them. In addition, the impact of different input sampling exploration strategies is explored to propose a simple and more robust approach based on subset simulation.

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Section: Introductionmentioning

confidence: 99%

Guidance Strategy for Autonomous Inspection of Unknown Non-Cooperative Resident Space Objects

Maestrini

Lizia

2022

Journal of Guidance, Control, and Dynamics

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“…Shen et al [10] extended this result by considering additional angular-velocity limits. Some other constrained feedback controllers for six-degreeof-freedom problems were given in [15], [16]. However, APbased controllers lack essential optimizing abilities and cannot make the trade-off between control cost and performance.…”

Section: Introductionmentioning

confidence: 99%

Reinforcement Learning-Based Approximate Optimal Control for Attitude Reorientation Under State Constraints

Dong

Zhao

Yang

2021

IEEE Trans. Contr. Syst. Technol.

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“…A time-varying sliding mode-based fault-tolerant controller was designed in [27], but the proposed model was the same as the traditional tracking model for one spacecraft so that the model couplings between the target and chaser in rendezvous and docking missions were ignored. To describe the relative pose motion between two spacecraft in a unified way, the dual quaternion-based relative pose motion model was reported recently, and some corresponding controllers were also designed, such as the non-certainty-equivalence adaptive controller in [28], output feedback controllers in [29] and [30], proportional-derivative controller in [31], and adaptive sliding mode controller in [32]. The aforementioned state feedback control approaches are able to achieve the prescribed relative pose control objectives.…”

mentioning

confidence: 99%

Saturated Adaptive Relative Motion Coordination of Docking Ports in Space Close-Range Rendezvous

Sun

Jiang

2020

IEEE Trans. Aerosp. Electron. Syst.

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An adaptive relative pose controller for docking ports of two uncertain spacecraft in autonomous rendezvous and docking is developed. A novel relative translational and rotational model represented in the chaser body-fixed frame is derived firstly based on the classical Newton-Euler equations. Based on the proposed model, a six-degrees-of-freedom adaptive control law is presented based on norm-wise estimations for the unknown parameters of two spacecraft to decrease the online computational burden. Meanwhile, an adaptive robust control input is designed by introducing an exponential function of states to improve the response performance with respect to the traditional adaptive robust control. Moreover, a linear anti-windup compensator is employed to ensure the bounded performance of the control inputs. The explicit tuning rules for designing parameters are derived based on the stability analysis of the closed-loop system. It is proved in Lyapunov framework that all closed-loop signals are always bounded and the pose tracking error ultimately converges to a small neighborhood of zero. Simulation results validate the performance of the proposed robust adaptive control strategy. Index Terms-Space rendezvous and docking, docking ports, motion coordination, adaptive control, saturated control, model uncertainty. I. INTRODUCTION M ANY important space missions, such as establishment of the space station, on-orbit servicing, space debris removing, and satellite networking [1] require spacecraft rendezvous and docking technique. In the process of the in-orbit rendezvous and docking, two spacecraft, named the active chaser and the passive target, are involved in the scenario. The chaser should conduct large-angle attitude maneuvers and complicated orbital maneuvers approaching to the passive target. Specifically, the close-range rendezvous and docking operations between two spacecraft require highly accurate translational and rotational controllers, since the chaser should fly around the target to track its docking port precisely [2]. In the last few decades, many problems in rendezvous and docking missions have been considered in the control

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Adaptive Pose Tracking Control for Spacecraft Proximity Operations Under Motion Constraints

Cited by 26 publications

References 33 publications

Guidance Strategy for Autonomous Inspection of Unknown Non-Cooperative Resident Space Objects

Guidance Strategy for Autonomous Inspection of Unknown Non-Cooperative Resident Space Objects

Reinforcement Learning-Based Approximate Optimal Control for Attitude Reorientation Under State Constraints

Saturated Adaptive Relative Motion Coordination of Docking Ports in Space Close-Range Rendezvous

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