Observer-based control for spacecraft electromagnetic docking

Shi, Keke; Liu, Chuang; Biggs, James D.; Sun, Zhiyong; Yue, Xiaokui

doi:10.1016/j.ast.2020.105759

Cited by 46 publications

(12 citation statements)

References 29 publications

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“…Future research will consider incorporating detailed energy consumption into the objective function and an energy‐efficient routing can be obtained by properly optimizing both the completion time and the energy consumption. Besides this, advanced control techniques should be developed to follow the planned route for the vehicle 27,28 …”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Receding horizon path planning of automated guided vehicles using a time‐space network model

Xin

Wei

Wang

et al. 2020

Optim Control Appl Methods

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Summary Time‐space network (TSN) models have been widely used for collision‐free path planning of automated guided vehicles. However, existing TSN models are planned globally. The global method suffers from computational complexity and uncertainties cannot be dealt with in the dynamic environment. To address these limitations, this article proposes a new methodology to decompose the global planning problem into smaller local planning problems, which are planned in a receding horizon way. For the local problem, new decision variables and constraints are incorporated into the TSN framework. Extensive simulation experiments are carried out to show the potential of the proposed methodology. Simulation results show that the proposed method obtains competitive performances and computational times are considerably reduced, compared with the global method.

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Section: Conclusion and Future Researchmentioning

confidence: 99%

Receding horizon path planning of automated guided vehicles using a time‐space network model

Xin

Wei

Wang

et al. 2020

Optim Control Appl Methods

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show abstract

“…A modular satellite platform design is defined which is composed of standardized, reconfigurable components, and should not be confused with common platform designs (identical, non-reconfigurable components) or heritage designs (a new design based on a previous old design). A theoretical model has been developed to gauge the benefits of adopting such designs [18][19][20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Cost Analysis for Mass Customized Production of Satellites Based on Modularity

Wang

Zhang

2021

IEEE Access

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“…Shi et al proposed a disturbance observer-based controller with very good performance, which has been applied in spacecraft electromagnetic docking [24] and attitude control [25] in the presence of external disturbances and fault signals. Afterwards, the robust electromagnetic docking problem for spacecraft in the presence of multiple perturbations, e.g., external disturbances, fault signals, measurement errors, and input constraints, is investigated, and a novel intermediate observer was developed to estimate the relative motion information and the lumped disturbance [26]. It should be mentioned that the soft docking problem was not involved in [26], as no tracking trajectories were predefined during electromagnetic docking.…”

Section: Introductionmentioning

confidence: 99%

“…Afterwards, the robust electromagnetic docking problem for spacecraft in the presence of multiple perturbations, e.g., external disturbances, fault signals, measurement errors, and input constraints, is investigated, and a novel intermediate observer was developed to estimate the relative motion information and the lumped disturbance [26]. It should be mentioned that the soft docking problem was not involved in [26], as no tracking trajectories were predefined during electromagnetic docking. Zhang et al investigated a soft-docking controller in [27] with effective and satisfactory results, but the convergence time of system states is asymptotic, but not finite.…”

Section: Introductionmentioning

confidence: 99%

Disturbance Observer-Based Nonsingular Terminal Sliding Mode Control for Spacecraft Electromagnetic Docking

Zhang

Zeng

Zhang

2020

International Journal of Aerospace Engineering

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This paper presents a novel nonlinear sliding mode control scheme that combines on-line model modification, a nonlinear sliding mode controller, and a disturbance observer to solve the essential problems in spacecraft electromagnetic docking control, such as model uncertainties, unknown external disturbances, and inherent strong nonlinearity and coupling. An improved far-field model of electromagnetic force which is much more accurate than the widely used far-field model is proposed to enable the model parameters to be on-line self-adjusting. Then, the relationship between magnetic moment allocation and energy consumption is derived, and the optimal direction of the magnetic moment vector is obtained. Based on the proposed improved far-field model and the research results of magnetic moment allocation law, a fast-nonsingular terminal mode controller driven by a disturbance observer is designed in the presence of model uncertainties and external disturbances. The proposed control method is guaranteed to be chattering-free and to possess superior properties such as finite-time convergence, high-precision tracking, and strong robustness. Two simulation scenarios are conducted to illustrate the necessity of modifying the far-field model and the effectiveness of the proposed control scheme. The simulation results indicate the realization of electromagnetic soft docking and validate the merits of the proposed control scheme. In the end of this paper, some conclusions are drawn.

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Observer-based control for spacecraft electromagnetic docking

Cited by 46 publications

References 29 publications

Receding horizon path planning of automated guided vehicles using a time‐space network model

Receding horizon path planning of automated guided vehicles using a time‐space network model

Cost Analysis for Mass Customized Production of Satellites Based on Modularity

Disturbance Observer-Based Nonsingular Terminal Sliding Mode Control for Spacecraft Electromagnetic Docking

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