实时混合试验的自适应时滞补偿方法

实时混合试验是由拟动力试验发展而来，时滞问题是实时混合试验的核心问题。传统时滞补偿方法往往假定试验中时滞不变，然而加载系统的非线性以及试件性能的变化可能导致系统时滞变化，使得此类方法性能不够理想。该文针对变时滞实时混合试验提出了基于模型参数识别的自适应时滞补偿方法。该方法将伺服系统简化为离散模型，通过在线参数估计确定系统状态，从而对伺服系统进行在线时滞补偿。该文首先阐述了该方法的原理，再通过数值模拟验证了方法的可行性与精度，并分析了不同模型对补偿的影响。

ADAPTIVE DELAY COMPENSATION METHOD FOR REAL-TIME HYBRID TESTING

Delay and its compensation are key problems for Real-time Hybrid Testing (RHT), which was developed from the pseudo-dynamic testing method. Conventional compensation methods are mostly based on constant delay assumption. However, system delay changes during tests due to system nonlinearity and performance change of the specimen, which results in undesirable test results. This paper proposes an adaptive delay compensation method based on online model parameter identification for RHT. The proposed method uses discrete models to simulate the servo loading system, online parameter identification to attain the loading system state; then the system delay is compensated based on this model. This paper firstly describes the method, and then numerically validates the feasibility and the effectiveness. The effect of different models is demonstrated as well.