In this paper, an autonomous optimal guidance algorithm for multi-phase lunar soft landing is presented. Various stringent requirements of a typical multi-phase soft landing are incorporated in guidance formulation. The proposed guidance law is formulated using the model predictive static programming (MPSP), which is an emerging computational guidance algorithm. High accuracy on the terminal position and velocity at the end of each phase is ensured, as the formulation of the MPSP inherently poses terminal output as a set of hard constraints. The spacecraft terminal orientation requirement is embedded in the guidance formulation in a soft constrained manner. Moreover, to facilitate a smooth transition between successive segments, an initial continuity of the guidance command is also attempted in an approximate manner. The effectiveness of the proposed method is demonstrated with simulation results. A processor-in-loop simulation study has been presented to demonstrate the feasibility of the proposed guidance law for possible on-board implementation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi-phase MPSP Guidance for Lunar Soft Landing


    Weitere Titelangaben:

    Trans Indian Natl. Acad. Eng.


    Beteiligte:


    Erscheinungsdatum :

    01.03.2020


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Formation Flying of Satellites with G-MPSP Guidance

    Maity, Arnab / Joshi, Girish / Padhi, Radhakant | AIAA | 2013


    Terminal Guidance System For Soft Lunar Landing

    Farrior, James S. / Roberson, Robert E. | AIAA | 1962


    Ascent Guidance for Air-Breathing Hypersonic Vehicles Based on MPSP

    He, Qianwei / Wu, Hao / Tang, Maoqin et al. | Springer Verlag | 2021


    Generalized-Newton-Iteration-Based MPSP Method for Terminal Constrained Guidance

    Zhou, Cong / Yan, Xiaodong / Ban, Huanheng et al. | IEEE | 2023