Premium
Experimental verification of a frequency domain evaluation index‐based compensation for real‐time hybrid simulation
Author(s) -
Xu Weijie,
Guo Tong,
Chen Cheng,
Chen Menghui,
Chen Kai
Publication year - 2020
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.2641
Subject(s) - control theory (sociology) , compensation (psychology) , robustness (evolution) , time domain , frequency domain , computer science , servo , group delay and phase delay , transfer function , compensation methods , engineering , bandwidth (computing) , artificial intelligence , psychology , computer network , biochemistry , chemistry , control (management) , digital marketing , world wide web , psychoanalysis , electrical engineering , computer vision , gene , return on marketing investment
Summary Delay compensation method plays an important role in maintaining the stability and accuracy of the real‐time hybrid simulation (RTHS). Inverse compensation (IC) method establishes a first‐order discrete transfer function model to represent servo‐hydraulic dynamics and provides an easy‐to‐implement compensation for RTHS. Only one parameter is required for the IC method, and it can be adjusted through different adaptive laws to accommodate error in initial delay estimation or time‐varying delay throughout the test. Different techniques have been developed to improve the performance of the IC method such as dual compensation and adaptive IC (AIC). A windowed frequency domain evaluation index‐based (WFEI) compensation is experimentally verified in this study through predefined tests and RTHS of a single‐degree of freedom (SDOF) system. The frequency domain evaluation index (FEI) is applied through short‐time Fourier transform (STFT) to estimate actuator delay in a real‐time manner and to adapt the parameter of IC method to minimize possible delay variation and/or inaccurate estimation. The efficacy and robustness of the FEI‐based compensation is further compared with the AIC method for various initial estimates, different window lengths, and bounds of estimated delay. Experimental results demonstrated that the WFEI method provides an effective and easy‐to‐implement method for RTHS.