A state-space approach for the control of multivariable dynamically substructured systems

J. Y. Tu*, D. P. Stoten, R. A. Hyde, Guang Li

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

19 Citations (Scopus)

Abstract

Dynamic substructuring is an experimental technique which decomposes a complete dynamical system into a number of sub-components. Critical components are physically tested at full-size and the remaining components are simultaneously simulated in real-time. High-quality control is required to synchronize the responses of the physical and numerical components and to compensate for additional dynamics introduced by actuator systems within the physical substructures. This paper presents a new state-space approach for the analysis and synthesis of dynamically substructured systems and the associated synchronizing controller design. A new state-space substructured framework is also developed to support the synthesis of state-space dynamic models, which then leads to design and analysis of state-feedback, H-infinity, and adaptive controllers. This framework is applied to an experimental single-mode, quasi-motorcycle substructuring problem, for illustration of the concepts and for the comparison of controller performance. Implementation results demonstrated the improved performance resulting from the new approach and also the effectiveness of adaptive control in coping with uncertain and changing parameters within the physical substructures.

Original languageEnglish
Pages (from-to)935-953
Number of pages19
JournalProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Volume225
Issue numberI7
DOIs
Publication statusPublished - Nov 2011

Keywords

  • dynamic substructuring
  • adaptive control
  • minimal control synthesis algorithm
  • H-infinity control
  • dynamic system testing
  • CONTROL SYNTHESIS ALGORITHM
  • STABILITY ANALYSIS

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