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    Discrete Search Optimization for Real-Time Path Planning in Satellites

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    Author
    Mays, Millie
    Date
    2012-09-05
    Advisor
    Heinkenschloss, Matthias
    Degree
    Master of Arts
    Abstract
    This study develops a discrete search-based optimization method for path planning in a highly nonlinear dynamical system. The method enables real-time trajectory improvement and singular configuration avoidance in satellite rotation using Control Moment Gyroscopes. By streamlining a legacy optimization method and combining it with a local singularity management scheme, this optimization method reduces the computational burden and advances the capability of satellites to make autonomous look-ahead decisions in real-time. Current optimization methods plan offline before uploading to the satellite and experience high sensitivity to disturbances. Local methods confer autonomy to the satellite but use only blind decision-making to avoid singularities. This thesis' method seeks near-optimal trajectories which balance between the optimal trajectories found using computationally intensive offline solvers and the minimal computational burden of non-optimal local solvers. The new method enables autonomous guidance capability for satellites using discretization and stage division to minimize the computational burden of real-time optimization.
    Keyword
    Path planning; Satellites; Real time optimization; Optimal control; Singularity avoidance; More... Control moment gyroscopes Less...
    Citation
    Mays, Millie. "Discrete Search Optimization for Real-Time Path Planning in Satellites." (2012) Master’s Thesis, Rice University. https://hdl.handle.net/1911/64637.
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    • Rice University Electronic Theses and Dissertations [14030]

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    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map