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dc.contributor.advisorMavris, Dimitri
dc.contributor.authorSteffens, Michael J.
dc.date.accessioned2014-05-22T15:33:16Z
dc.date.available2014-05-22T15:33:16Z
dc.date.created2014-05
dc.date.issued2014-04-09
dc.date.submittedMay 2014
dc.identifier.urihttp://hdl.handle.net/1853/51884
dc.description.abstractTrajectory optimization is an important part of launch vehicle design and operation. With the high costs of launching payload into orbit, every pound that can be saved increases affordability. One way to save weight in launch vehicle design and operation is by optimizing the ascent trajectory. Launch vehicle trajectory optimization is a field that has been studied since the 1950’s. Originally, analytic solutions were sought because computers were slow and inefficient. With the advent of computers, however, different algorithms were developed for the purpose of trajectory optimization. Computer resources were still limited, and as such the algorithms were limited to local optimization methods, which can get stuck in specific regions of the design space. Local methods for trajectory optimization have been well studied and developed. Computer technology continues to advance, and in recent years global optimization has become available for application to a wide variety of problems, including trajectory optimization. The aim of this thesis is to create a methodology that applies global optimization to the trajectory optimization problem. Using information from a global search, the optimization design space can be reduced and a much smaller design space can be analyzed using already existing local methods. This allows for areas of interest in the design space to be identified and further studied and helps overcome the fact that many local methods can get stuck in local optima. The design space included in trajectory optimization is also considered in this thesis. The typical optimization variables are initial conditions and flight control variables. For direct optimization methods, the trajectory phase structure is currently chosen a priori. Including trajectory phase structure variables in the optimization process can yield better solutions. The methodology and phase structure optimization is demonstrated using an earth-to-orbit trajectory of a Delta IV Medium launch vehicle. Different methods of performing the global search and reducing the design space are compared. Local optimization is performed using the industry standard trajectory optimization tool POST. Finally, methods for varying the trajectory phase structure are presented and the results are compared.
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technology
dc.subjectLaunch vehicle
dc.subjectTrajectory optimization
dc.subject.lcshLaunch vehicles (Astronautics)
dc.subject.lcshTrajectories (Mechanics)
dc.subject.lcshMathematical optimization
dc.titleA combined global and local methodology for launch vehicle trajectory design-space exploration and optimization
dc.typeThesis
dc.description.degreeM.S.
dc.contributor.departmentAerospace Engineering
thesis.degree.levelMasters
dc.contributor.committeeMemberSt. Germain, Brad
dc.contributor.committeeMemberEdwards, Stephen
dc.date.updated2014-05-22T15:33:17Z


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