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An effective online delay estimation method based on a simplified physical system model for real-time hybrid simulation

机译:基于简化物理系统模型的有效在线延迟估计方法用于实时混合仿真

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摘要

Real-Time Hybrid Simulation (RTHS) is a novel approach conceived to evaluate dynamic responses of structures with parts of a structure physically tested and the remainder parts numerically modelled. In RTHS, delay estimation is often a precondition of compensation; nonetheless, system delay may vary during testing. Consequently, it is sometimes necessary to measure delay online. Along these lines, this paper proposes an online delay estimation method using least-squares algorithm based on a simplified physical system model, i.e., a pure delay multiplied by a gain reflecting amplitude errors of physical system control. Advantages and disadvantages of different delay estimation methods based on this simplified model are firstly discussed. Subsequently, it introduces the least-squares algorithm in order to render the estimator based on Taylor series more practical yet effective. As a result, relevant parameter choice results to be quite easy. Finally in order to verify performance of the proposed method, numerical simulations and RTHS with a buckling-restrained brace specimen are carried out. Relevant results show that the proposed technique is endowed with good convergence speed and accuracy, even when measurement noises and amplitude errors of actuator control are present.
机译:实时混合仿真(RTHS)是一种新颖的方法,用于评估结构的动态响应,其中一部分经过物理测试,其余部分进行数值建模。在RTHS中,延迟估计通常是补偿的先决条件。但是,系统延迟可能会在测试期间有所不同。因此,有时需要在线测量延迟。沿着这些思路,本文提出了一种基于简化的物理系统模型的,使用最小二乘算法的在线延迟估计方法,即纯延迟乘以反映物理系统控制幅度误差的增益。首先讨论了基于这种简化模型的不同延迟估计方法的优缺点。随后,它引入了最小二乘算法,以使基于泰勒级数的估计器更加实用而有效。结果,相关的参数选择结果很容易。最后,为了验证所提方法的性能,进行了数值模拟和带有屈曲约束支撑标本的RTHS。相关结果表明,即使存在执行器控制的测量噪声和幅度误差,所提出的技术也具有良好的收敛速度和精度。

著录项

  • 来源
    《Smart structures and systems》 |2014年第6期|1247-1267|共21页
  • 作者单位

    Key Lab of Structures Dynamic Behavior & Control (Harbin Institute of Technology), Ministry of Education, Heilongjiang, Harbin 150090, China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;

    Key Lab of Structures Dynamic Behavior & Control (Harbin Institute of Technology), Ministry of Education, Heilongjiang, Harbin 150090, China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;

    Department of Civil, Environmental and Mechanical Engineering, University of Trento, Via Mesiano 77, Trento 38123, Italy;

    Key Lab of Structures Dynamic Behavior & Control (Harbin Institute of Technology), Ministry of Education, Heilongjiang, Harbin 150090, China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;

    Key Lab of Structures Dynamic Behavior & Control (Harbin Institute of Technology), Ministry of Education, Heilongjiang, Harbin 150090, China,School of Civil Engineering, Harbin Institute of Technology, Harbin 150090, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    real-time hybrid simulation; delay compensation; online delay estimation; least-squares algorithm;

    机译:实时混合仿真;延迟赔偿;在线延迟估计;最小二乘算法;

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