Robust control design framework for substructure models | Zendy

Kyong B. Lim | Zendy

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Robust control design framework for substructure models

Author(s) -

Kyong B. Lim

Publication year - 1996

Publication title -

journal of guidance control and dynamics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.573

H-Index - 143

eISSN - 1533-3884

pISSN - 0731-5090

DOI - 10.2514/3.21596

Subject(s) - substructure , parametric statistics , control theory (sociology) , robust control , stiffness , computer science , interface (matter) , set (abstract data type) , constant (computer programming) , control (management) , control system , engineering , mathematics , structural engineering , artificial intelligence , statistics , electrical engineering , bubble , maximum bubble pressure method , parallel computing , programming language

A framework for designing control systems directly from substructure models and uncertainties is proposed. The technique is based on combining a set of substructure robust control problems by an interface stiffness matrix which appears as a constant gain feedback. Variations of uncertainties in the interface stiffness are treated as a parametric uncertainty. It is shown that multivariable robust control can be applied to generate centralized or decentralized controllers that guarantee performance with respect to uncertainties in the interface stiffness, reduced component modes and external disturbances. The technique is particularly suited for large, complex, and weakly coupled flexible structures.

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