Optimal control is crucial for spacecraft missions, with limited spacecraft fuel or energy storage and few opportunities for refueling after launch. The performance guaranteed control can provide transient or steady-state performance constraints for spacecraft closed-loop systems and even the settling time upper bounds. However, it cannot guarantee the optimization of the control inputs. To optimize the control input under the condition of satisfying the performance constraints, considering the optimal control method based on adaptive dynamic programming (ADP), this chapter proposes the spacecraft performance guaranteed optimal control and its improved algorithm based on experience replay. Detailed theoretical derivation, analysis, and rigorous theoretical proofs of the algorithms are given. By applying these algorithms, the transient and steady-state behavior of the spacecraft closed-loop system can meet the desired constraints, and the control input can be optimized when the constraints are considered. Finally, comprehensive numerical simulation analysis and comparative simulation verify the effectiveness, feasibility, and advantages of the proposed algorithms.


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    Titel :

    Spacecraft Performance Guaranteed Optimal Control with Adaptive Dynamic Programming


    Beteiligte:
    Gao, Yufeng (Autor:in) / Li, Dongyu (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    22.10.2023


    Format / Umfang :

    38 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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