Title:
Two-scale command shaping for feedforward control of nonlinear systems

dc.contributor.advisor Leamy, Michael J.
dc.contributor.author Wilbanks, James Justin
dc.contributor.committeeMember Cunefare, Kenneth A.
dc.contributor.committeeMember Ferri, Aldo A.
dc.contributor.committeeMember Taylor, David G.
dc.contributor.department Mechanical Engineering
dc.date.accessioned 2019-05-29T14:01:19Z
dc.date.available 2019-05-29T14:01:19Z
dc.date.created 2019-05
dc.date.issued 2019-01-08
dc.date.submitted May 2019
dc.date.updated 2019-05-29T14:01:19Z
dc.description.abstract This research proposes a two-scale command shaping (TSCS) approach for tailoring control inputs to nonlinear, flexible systems aimed at reducing undesirable residual vibrations. These systems exhibit control complexities not present in traditional linear systems. The TSCS approach employs problem scale decomposition using an asymptotic method, command shaping of a linear subproblem, and cancellation of a remaining nonlinear subproblem. For traditional and nontraditional Duffing-like nonlinear systems, TSCS is shown herein to outperform other command shaping strategies recently presented in literature. Following initial development, the TSCS approach is further extended to nonlinear systems with uncertain parameters through the implementation of robust command shaping strategies and parameter estimation techniques. Undesirable vibrations arising from internal combustion engine (ICE) restart/shutdown, which occurs in both hybrid electric and conventional vehicles, provides a contemporary motivating problem ideal for TSCS application due to nonlinearities arising in ICE geometry and friction. Using analytical, computational, and experimental means, TSCS applied to this problem is shown to significantly reduce undesirable vibrations while leveraging existing vehicle components. It is anticipated that the developed TSCS approach can be applied to a wide array of nonlinear, flexible systems with little to no additional cost and complexity, making it attractive for further study and adoption.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/61202
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Command shaping
dc.subject Parameter estimation
dc.subject Nonlinear
dc.subject Perturbation
dc.subject Extended Kalman filtering
dc.subject Recursive least-squares
dc.subject Feedforward control
dc.title Two-scale command shaping for feedforward control of nonlinear systems
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Leamy, Michael J.
local.contributor.corporatename George W. Woodruff School of Mechanical Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 57dc2bf2-f2ca-46a1-814b-1aaab829df46
relation.isOrgUnitOfPublication c01ff908-c25f-439b-bf10-a074ed886bb7
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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