张博, 周惠蒙, 田英鹏, 国巍, 古泉, 王涛, 滕睿. 实时混合试验的自适应线性二次高斯时滞补偿方法研究[J]. 工程力学, 2022, 39(3): 75-83. DOI: 10.6052/j.issn.1000-4750.2021.01.0023
引用本文: 张博, 周惠蒙, 田英鹏, 国巍, 古泉, 王涛, 滕睿. 实时混合试验的自适应线性二次高斯时滞补偿方法研究[J]. 工程力学, 2022, 39(3): 75-83. DOI: 10.6052/j.issn.1000-4750.2021.01.0023
ZHANG Bo, ZHOU Hui-meng, TIAN Ying-peng, GUO Wei, GU Quan, WANG Tao, TENG Rui. STUDY OF ADAPTIVE LINEAR-QUADRATIC-GAUSSIAN TIME-DELAY COMPENSATION METHOD FOR REAL-TIME HYBRID SIMULATION[J]. Engineering Mechanics, 2022, 39(3): 75-83. DOI: 10.6052/j.issn.1000-4750.2021.01.0023
Citation: ZHANG Bo, ZHOU Hui-meng, TIAN Ying-peng, GUO Wei, GU Quan, WANG Tao, TENG Rui. STUDY OF ADAPTIVE LINEAR-QUADRATIC-GAUSSIAN TIME-DELAY COMPENSATION METHOD FOR REAL-TIME HYBRID SIMULATION[J]. Engineering Mechanics, 2022, 39(3): 75-83. DOI: 10.6052/j.issn.1000-4750.2021.01.0023

实时混合试验的自适应线性二次高斯时滞补偿方法研究

STUDY OF ADAPTIVE LINEAR-QUADRATIC-GAUSSIAN TIME-DELAY COMPENSATION METHOD FOR REAL-TIME HYBRID SIMULATION

  • 摘要: 时滞补偿是实时混合试验(RTHS)成功非常关键的环节,传统时滞补偿方法主要针对建筑结构实时混合试验设计,主要关注低频的时滞补偿能力,但航空、交通等领域的结构频率较高,甚至超过10 Hz,高频信号对结构响应的影响不可忽略,较高的结构频率要求更小的时滞保证稳定性,对其进行实时混合试验需要在较宽频带上实现时滞补偿。该文提出了自适应线性二次高斯算法(ALQG)提高对高频信号的时滞补偿能力和稳定性。采用不同轨道梁截面刚度参数的桥梁作为数值子结构进行实时混合试验,检验ALQG算法在车桥耦合系统RTHS中时滞补偿的有效性和稳定性,并与采用ATS的结果进行比较。试验结果表明:ALQG算法能够较好补偿RTHS中的高频信号,补偿效果优于ATS算法。

     

    Abstract: The time delay compensation is very critical to successful implementation of real-time hybrid simulation (RTHS). The traditional time delay compensation is mainly designed for RTHS of building structures, which focuses on relative low frequency signal compensation capacity. However, the structural frequency in aerospace, transportation and other fields may exceed 10 Hz, and the influence of high-frequency signals on structural response cannot be ignored. And higher natural frequency requires smaller time delay to guarantee the stability. It needs to compensate the time delay in a wider frequency range for RTHS test. It proposes an adaptive linear quadratic Gaussian (ALQG) algorithm to expand the frequency range of time delay compensation, especially to improve the compensation capacity for high-frequency signals. The bridge with different stiffness due to different track beam sections were chosen as numerical substructures to conduct RTHS, and to verify the effectiveness and stability of the ALQG algorithm in high-speed bridge track and train body coupling system (train-bridge coupling system) RTHS. The results of RTHS tests for train-bridge coupling system were compared with those of adaptive time series algorithm (ATS). From the test results, it can be seen that the ALQG algorithm can compensate for the high frequency signals in the RTHS, and has the better compensation performance than ATS algorithm.

     

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