In Chapters 3 and 6, a nonlinear suboptimal control design technique known as the SDRE technique has been successfully employed (both in infinite-time and finite-time frameworks) for the satellite formation flying problem. However, the method requires that the plant model to be expressed in the linear-looking state-dependent coefficient form, which is a nontrivial task in general. Moreover, because of the usage of linear optimal control theory, the resulting solution turns out to be suboptimal. In order to overcome such issues, an alternate optimal control design approach, known as the model predictive static programming (MPSP), is proposed in this chapter. This fairly recent approach solves the original nonlinear optimal control problem in a computationally efficient manner without introducing any transformation or approximation. Because of its fast convergence with less computational demand, it is suitable for implementation in the onboard processors as well. The generic technique is discussed first, followed by its usage for controlling the problem of satellite formation flying problem. Both discrete and continuous time versions of the MPSP technique are presented here for completeness.


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    Titel :

    Model Predictive Static Programming


    Beteiligte:
    Mathavaraj, S. (Autor:in) / Padhi, Radhakant (Autor:in)

    Erschienen in:

    Satellite Formation Flying ; Kapitel : 7 ; 111-138


    Erscheinungsdatum :

    2021-03-16


    Format / Umfang :

    28 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch