Discrete Search Optimization for Real-Time Path Planning in Satellites
dc.contributor.advisor | Heinkenschloss, Matthias | en_US |
dc.contributor.committeeMember | Symes, William W. | en_US |
dc.contributor.committeeMember | Riviere, Beatrice M. | en_US |
dc.contributor.committeeMember | Bedrossian, Nazareth | en_US |
dc.creator | Mays, Millie | en_US |
dc.date.accessioned | 2012-09-06T00:07:01Z | en_US |
dc.date.accessioned | 2012-09-06T00:07:11Z | en_US |
dc.date.available | 2012-09-06T00:07:01Z | en_US |
dc.date.available | 2012-09-06T00:07:11Z | en_US |
dc.date.created | 2012-05 | en_US |
dc.date.issued | 2012-09-05 | en_US |
dc.date.submitted | May 2012 | en_US |
dc.date.updated | 2012-09-06T00:07:12Z | en_US |
dc.description.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. | en_US |
dc.format.mimetype | application/pdf | en_US |
dc.identifier.citation | Mays, Millie. "Discrete Search Optimization for Real-Time Path Planning in Satellites." (2012) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/64637">https://hdl.handle.net/1911/64637</a>. | en_US |
dc.identifier.slug | 123456789/ETD-2012-05-87 | en_US |
dc.identifier.uri | https://hdl.handle.net/1911/64637 | en_US |
dc.language.iso | eng | en_US |
dc.rights | Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder. | en_US |
dc.subject | Path planning | en_US |
dc.subject | Satellites | en_US |
dc.subject | Real time optimization | en_US |
dc.subject | Optimal control | en_US |
dc.subject | Singularity avoidance | en_US |
dc.subject | Control moment gyroscopes | en_US |
dc.title | Discrete Search Optimization for Real-Time Path Planning in Satellites | en_US |
dc.type | Thesis | en_US |
dc.type.material | Text | en_US |
thesis.degree.department | Computational and Applied Mathematics | en_US |
thesis.degree.discipline | Engineering | en_US |
thesis.degree.grantor | Rice University | en_US |
thesis.degree.level | Masters | en_US |
thesis.degree.name | Master of Arts | en_US |