• A model for signal processing and predictive control of semi-active structural control system

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      Permanent link:
      http://www.ias.ac.in/article/fulltext/sadh/034/03/0421-0437

    • Keywords

       

      Predictive control; noise reduction; time delay; time compensate; component test; shaking table test.

    • Abstract

       

      The theory for structural control has been well developed and applied to perform excellent energy dissipation using dampers. Both active and semi-active control systems may be used to decide on the optimal switch point of the damper based on the current and past structural responses to the excitation of external forces. However, numerous noises may occur when the control signals are accessed and transported thus causing a delay of the damper. Therefore, a predictive control technique that integrates an improved method of detecting the control signal based on the direction of the structural motion, and a calculator for detecting the velocity using the least-square polynomial regression is proposed in this research. Comparisons of the analytical data and experimental results show that this predictor is effective in switching the moving direction of the semi-active damper. This conclusion is further verified using the component and shaking table test with constant amplitude but various frequencies, and the El Centro earthquake test. All tests confirm that this predictive control technique is effective to alleviate the time delay problem of semi-active dampers. This predictive control technique promotes about 30% to 40% reduction of the structural displacement response and about 35% to 45% reduction of the structural acceleration response.

    • Author Affiliations

       

      M-H Shih1 W-P Sung2 Ching-Jong Wang1

      1. Department of Construction Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, 824, Taiwan
      2. Department of Landscape Architecture, National Chin-Yi University of Technology, Taichung, 411, Taiwan
    • Dates

       

© 2017 Indian Academy of Sciences, Bengaluru.