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Gain Scheduled Control Using the Dual Youla Parameterization

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dc.contributor.advisor Rasmussen, Bryan en_US
dc.creator Chang, Young Joon en_US
dc.date.accessioned 2011-08-08T22:47:30Z en_US
dc.date.accessioned 2011-08-09T01:31:24Z
dc.date.available 2011-08-08T22:47:30Z en_US
dc.date.available 2011-08-09T01:31:24Z
dc.date.created 2010-05 en_US
dc.date.issued 2011-08-08 en_US
dc.date.submitted May 2010 en_US
dc.identifier.uri http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7654 en_US
dc.description.abstract Stability is a critical issue in gain-scheduled control problems in that the closed loop system may not be stable during the transitions between operating conditions despite guarantees that the gain-scheduled controller stabilizes the plant model at fixed values of the scheduling variable. For Linear Parameter Varying (LPV) model representations, a controller interpolation method using Youla parameterization that guarantees stability despite fast transitions in scheduling variables is proposed. By interconnecting an LPV plant model with a Local Controller Network (LCN), the proposed Youla parameterization based controller interpolation method allows the interpolation of controllers of different size and structure, and guarantees stability at fixed points over the entire operating region. Moreover, quadratic stability despite fast scheduling is also guaranteed by construction of a common Lyapunov function, while the characteristics of individual controllers designed a priori at fixed operating condition are recovered at the design points. The efficacy of the proposed approach is verified with both an illustrative simulation case study on variation of a classical MIMO control problem and an experimental implementation on a multi-evaporator vapor compression cycle system. The dynamics of vapor compression systems are highly nonlinear, thus the gain-scheduled control is the potential to achieve the desired stability and performance of the system. The proposed controller interpolation/switching method guarantees the nonlinear stability of the closed loop system during the arbitrarily fast transition and achieves the desired performance to subsequently improve thermal efficiency of the vapor compression system. en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.subject Gain-scheduled control en_US
dc.subject Youla parameterization en_US
dc.subject Nonlinear control en_US
dc.subject Robust stability en_US
dc.subject Vapor compression system en_US
dc.title Gain Scheduled Control Using the Dual Youla Parameterization en_US
dc.type Thesis en
thesis.degree.department Mechanical Engineering en_US
thesis.degree.discipline Mechanical Engineering en_US
thesis.degree.grantor Texas A&M University en_US
thesis.degree.name Doctor of Philosophy en_US
thesis.degree.level Doctoral en_US
dc.contributor.committeeMember O'Neal, Dennis en_US
dc.contributor.committeeMember Langari, Reza en_US
dc.contributor.committeeMember Hahn, Juergen en_US
dc.type.genre thesis en_US
dc.type.material text en_US

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