Integrated optimization of structures and LQR control systems for reduced order models

Mehmet Bozca, Yusuf Cunedioǧlu, Ata Muǧan*, Hakan Temeltaş

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

in this study, integrated optimum design of structures and control systems is studied by using reduced order models. The structures and controllers are optimized simultaneously and successively. Since the degree-of-freedom (DOF) for structures is very large in practice, model order reduction techniques have to be employed at every controller design iteration during optimization in integrated optimum design approaches, that increase the CPU time and involves modeling errors. in this study, Subspace Based Identification (SBI) method is used as a model order reduction technique in frequency domain. It is shown that simultaneous optimization of structures and controllers by using LQR formulations can be achieved by an equivalent decoupled optimization problem where structures are optimized by shaping the structural singular values and following any control law of interest can be designed. Decoupled optimization of structures and controllers has certain advantages, especially for structures having large DOF.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Pages389-394
Number of pages6
ISBN (Print)008045108X, 9780080451084
DOIs
Publication statusPublished - 2005

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume16
ISSN (Print)1474-6670

Funding

Acknowledgment: This research is supported in part by Secretariat for Research Activities at Istanbul Technical University.

FundersFunder number
Istanbul Teknik Üniversitesi

    Keywords

    • Finite element method
    • Model order reduction
    • Optimum control
    • Singular value decomposition
    • Structural optimization

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