Smart Structures and Systems

  • 제31권5호
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  • Pages.437-454
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  • 2023
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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A model-based adaptive control method for real-time hybrid simulation

  • Xizhan Ning (College of Civil Engineering, Huaqiao University) ;
  • Wei Huang (College of Civil Engineering, Huaqiao University) ;
  • Guoshan Xu (School of Civil Engineering, Harbin Institute of Technology) ;
  • Zhen Wang (School of Civil Engineering and Architecture, Wuhan University of Technology) ;
  • Lichang Zheng (School of Civil Engineering, Harbin Institute of Technology)
  • 투고 : 2022.07.22
  • 심사 : 2023.03.03
  • 발행 : 2023.05.25
⟨ 이전 논문 다음 논문 ⟩

초록

Real-time hybrid simulation (RTHS), which has the advantages of a substructure pseudo-dynamic test, is widely used to investigate the rate-dependent mechanical response of structures under earthquake excitation. However, time delay in RTHS can cause inaccurate results and experimental instabilities. Thus, this study proposes a model-based adaptive control strategy using a Kalman filter (KF) to minimize the time delay and improve RTHS stability and accuracy. In this method, the adaptive control strategy consists of three parts-a feedforward controller based on the discrete inverse model of a servohydraulic actuator and physical specimen, a parameter estimator using the KF, and a feedback controller. The KF with the feedforward controller can significantly reduce the variable time delay due to its fast convergence and high sensitivity to the error between the desired displacement and the measured one. The feedback control can remedy the residual time delay and minimize the method's dependence on the inverse model, thereby improving the robustness of the proposed control method. The tracking performance and parametric studies are conducted using the benchmark problem in RTHS. The results reveal that better tracking performance can be obtained, and the KF's initial settings have limited influence on the proposed strategy. Virtual RTHSs are conducted with linear and nonlinear physical substructures, respectively, and the results indicate brilliant tracking performance and superb robustness of the proposed method.

키워드

과제정보

The authors gratefully acknowledge the financial support provided by the National Natural Science Foundation of China [grant numbers 51908231 and 51978213], the Fundamental Research Funds for the Central Universities of Huaqiao University [grant number ZQN-912], Natural Science Foundation of Fujian Province [grant number 2020J01058], and the scientific research fund of Huaqiao University [grant number 18BS306].

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