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A control framework for uniaxial shaking tables considering tracking performance and system robustness
Author(s) -
Chen PeiChing,
Lai ChinTa,
Tsai KehChyuan
Publication year - 2017
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.2015
Subject(s) - earthquake shaking table , acceleration , control theory (sociology) , robustness (evolution) , engineering , displacement (psychology) , control system , controller (irrigation) , peak ground acceleration , computer science , control engineering , structural engineering , control (management) , ground motion , artificial intelligence , psychology , agronomy , biochemistry , chemistry , physics , electrical engineering , classical mechanics , biology , psychotherapist , gene
Summary Shaking table testing has been regarded as one of the most straightforward experimental approaches to evaluate the seismic response of structures subjected to earthquake ground motions. Therefore, reproducing an acceleration time history accurately becomes crucial for shaking table testing. In this study, a control framework for uniaxial shaking tables is proposed which incorporates a feedback controller into a weighted command shaping controller. It implements through outer‐loop control in addition to the conventional existing proportional‐integral inner‐loop control. The model‐based command shaping controller which considers the control‐structure interaction can be designed to shape either displacement or acceleration references. The weightings for the shaped displacement and acceleration can be calculated by a linear interpolation algorithm which considers the dominant frequency of the desired acceleration time history as well as the correlation between the displacement and acceleration responses of the shaking table. Accordingly, the weighted combination of the shaped displacement and acceleration generates the control command to the shaking table. On the other hand, the feedback controller deals with the system uncertainty and modeling error. Loop‐shaping design method is adopted to synthesize the feedback controller. Finally, the control framework is verified by several shaking table tests with and without a flexible specimen. Experimental results demonstrate the performance and robustness of the proposed control framework for shaking table test systems.