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<p>Real-time hybrid simulation (RTHS) partitions a test structure into experimental and numerical substructures, facilitating full-scale testing within the constraints of size-limited laboratories. This methodology has significantly transformed seismic resistance testing by enabling real-time, comprehensive experimentation, representing a major advancement in civil engineering. However, as the structural complexity increases, the associated rise in degrees of freedom imposes greater demands on the interfaces between experimental and numerical substructures. To address these challenges, advanced control methodologies, such as multi-actuator RTHS and shaking table RTHS, have been developed to supersede conventional single-actuator setups. These advanced systems necessitate sophisticated delay compensation techniques to ensure accuracy and stability. In this study, a compensation method based on the&#xa0;Nonlinear Autoregressive with External Input (NARX)&#xa0;model is applied to a two-degree-of-freedom RTHS system to assess its effectiveness in multi-actuator scenarios. Additionally, the NARX model-based compensation is further implemented for shaking table RTHS to enhance control performance. Experimental results demonstrate that NARX-based compensation offers a promising solution for managing complex control requirements in both multi-actuator RTHS and shaking table RTHS, thereby improving the accuracy and reliability of real-time hybrid simulation.</p>

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Experimental Evaluation of NARX Model Based Compensation in Complex Control Scenarios for Real-Time Hybrid Simulation

  • 期刊论文

  • 发表日期：

    2025年9月15日

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  • W. Xu,
  • X. Meng,
  • C. Peng,
  • T. Guo,
  • C. Chen,
  • Y. Chen

摘要

Real-time hybrid simulation (RTHS) partitions a test structure into experimental and numerical substructures, facilitating full-scale testing within the constraints of size-limited laboratories. This methodology has significantly transformed seismic resistance testing by enabling real-time, comprehensive experimentation, representing a major advancement in civil engineering. However, as the structural complexity increases, the associated rise in degrees of freedom imposes greater demands on the interfaces between experimental and numerical substructures. To address these challenges, advanced control methodologies, such as multi-actuator RTHS and shaking table RTHS, have been developed to supersede conventional single-actuator setups. These advanced systems necessitate sophisticated delay compensation techniques to ensure accuracy and stability. In this study, a compensation method based on the Nonlinear Autoregressive with External Input (NARX) model is applied to a two-degree-of-freedom RTHS system to assess its effectiveness in multi-actuator scenarios. Additionally, the NARX model-based compensation is further implemented for shaking table RTHS to enhance control performance. Experimental results demonstrate that NARX-based compensation offers a promising solution for managing complex control requirements in both multi-actuator RTHS and shaking table RTHS, thereby improving the accuracy and reliability of real-time hybrid simulation.