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Dynamic and numerical issues relating to the control robustness of dynamically substructured systems
Dynamically substructured system (DSS) techniques separate critical components of a complete structural system to be physically tested in full size; the remaining linear subsystems are tested numerically. Successful and robust DSS tests rely on a high‐quality controller to cope with undesired disturbances surrounding the real‐time environment and thus ensure synchronised responses of the numerical and physical substructure outputs. Three DSS control systems are compared in this paper, which use dynamics‐based ordinary differential equations or geometry‐based delay differential equations to model the systems. Even though the control designs are not new, a series of new experimental and analytical results capture the essence of DSS control problems in a simple way, showing that (i) reliable DSS tests depend on well‐defined dynamics and numerical computational accuracy in the control design, (ii) dynamics‐based methods lay a relatively transparent and systematic foundation for deeper investigation into robustness issues and (iii) an understanding of potential and fundamental real‐time difficulties is important in order to give hints for accurate modelling, control redesign and quality improvement. Copyright © 2014 John Wiley & Sons, Ltd.
Dynamic and numerical issues relating to the control robustness of dynamically substructured systems
Dynamically substructured system (DSS) techniques separate critical components of a complete structural system to be physically tested in full size; the remaining linear subsystems are tested numerically. Successful and robust DSS tests rely on a high‐quality controller to cope with undesired disturbances surrounding the real‐time environment and thus ensure synchronised responses of the numerical and physical substructure outputs. Three DSS control systems are compared in this paper, which use dynamics‐based ordinary differential equations or geometry‐based delay differential equations to model the systems. Even though the control designs are not new, a series of new experimental and analytical results capture the essence of DSS control problems in a simple way, showing that (i) reliable DSS tests depend on well‐defined dynamics and numerical computational accuracy in the control design, (ii) dynamics‐based methods lay a relatively transparent and systematic foundation for deeper investigation into robustness issues and (iii) an understanding of potential and fundamental real‐time difficulties is important in order to give hints for accurate modelling, control redesign and quality improvement. Copyright © 2014 John Wiley & Sons, Ltd.
Dynamic and numerical issues relating to the control robustness of dynamically substructured systems
Tu, Jia‐Ying (Autor:in) / Chen, Chih‐Ying (Autor:in) / Hsiao, Wei‐De (Autor:in)
Structural Control and Health Monitoring ; 22 ; 518-534
01.03.2015
17 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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