scholarly journals Test Verification of Two-Stage Adaptive Delay Compensation Method for Real-Time Hybrid Simulation

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Zhen Wang ◽  
Xueqi Yan ◽  
Xizhan Ning ◽  
Bin Wu
Keyword(s):  
Real Time ◽  
Hybrid Simulation ◽  
Critical Issue ◽  
Estimation Accuracy ◽  
System Delay ◽  
Delay Compensation ◽  
Two Stage ◽  
Soft Start ◽  
Loading System ◽  
Test Verification

Real-time hybrid simulation (RTHS) is a versatile testing technique for performance evaluation of structures subjected to dynamic excitations. Research revealed that compensation for the delay induced by the dynamics of the loading system and other factors is a critical issue for obtaining reliable test results. Lately, a two-stage adaptive delay compensation (TADC) method was conceived and performed on the benchmark problem of RTHS. For this method, the main part of the system delay is coarsely compensated by the classic polynomial extrapolation (PE) method; the second stage represents a fine remedy for the remaining delay with adaptive compensation based on a discrete model of the loading system. As an extension of this study, this paper aims to further verify and reveal the performance of this method through real tests on a viscous damper specimen. In particular, loading tests with a swept signal and RTHS with sinusoidal and seismic excitations were carried out. Investigations show that the TADC method is endowed with smaller parameter variation ranges, simple yet effective initialization or a soft-start process, less dependence on initial parameter estimation accuracy, and best compensation performance.

scholarly journals Kalman Filter-Based Adaptive Delay Compensation for Benchmark Problem in Real-Time Hybrid Simulation

2020 ◽  
Vol 10 (20) ◽  
pp. 7101
Author(s):  
Xizhan Ning ◽  
Zhen Wang ◽  
Bin Wu
Keyword(s):  
Kalman Filter ◽  
Time Delay ◽  
Real Time ◽  
Control Plant ◽  
Hybrid Simulation ◽  
Time Varying ◽  
Transfer System ◽  
Benchmark Problem ◽  
Delay Compensation ◽  
Comparison Results

Real-time hybrid simulation (RTHS) is a versatile, effective, and promising experimental method used to evaluate the structural performance under dynamic loads. In RTHS, the emulated structure is divided into a numerically simulated substructure (NS) and a physically tested substructure (PS), and a transfer system is used to ensure the force equilibrium and deformation compatibility between the substructures. Owing to the inherent dynamics of the PS and transfer system (referred to as a control plant in this study), there is a time-delay between the displacement command and measurement. This causes de-synchronization between the boundary of the PS and NS, and affects the stability and accuracy of the RTHS. In this study, a Kalman filter-based adaptive delay compensation (KF-ADC) method is proposed to address this issue. In this novel method, the control plant is represented by a discrete-time model, whose coefficients are time-varying and are estimated online by the KF using the displacement commands and measurements. Based on this time-varying model, the delay compensator is constructed employing the desired displacements. The KF performance is investigated theoretically and numerically. To assess the performance of the proposed strategy, a series of virtual RTHSs are performed on the Benchmark problem in RTHS, which was based on an actual experimental system. Meanwhile, several promising delay-compensation strategies are employed for comparison. Results reveal that the proposed time-delay compensation method effectively enhances the accuracy, stability, and robustness of RTHS.

Improving model-based compensation method for real-time hybrid simulation considering error of identified model

2020 ◽  
pp. 107754632096162
Author(s):  
Zihao Zhou ◽  
Ning Li
Keyword(s):  
Time Delay ◽  
Transfer Function ◽  
Real Time ◽  
Hybrid Simulation ◽  
Compensation Method ◽  
Test Results ◽  
Two Stage ◽  
The Real ◽  
Model Based ◽  
Real Plant

Time delay is a critical and unavoidable problem in real-time hybrid simulation. An accurate and effective compensation method for time delay is necessary for the safety of real-time hybrid simulation and the reliability of test results. Generally, a model-based compensation method can be adopted, which is derived from the identified transfer function by assuming the latter can accurately represent the real plant. However, there must be some differences between the transfer function and the real plant. To facilitate the development of real-time hybrid simulation, we proposed a two-stage feedforward compensation method considering the error between the transfer function identified and the real plant. The compensation strategy proposed in this study was not only based on the transfer function but also introduced an error model as a second-stage compensation into a compensator to realize the synchronization of command and measurement. To verify the efficiency of the proposed method, comparisons in time domain and frequency domain with the feedforward compensator in a model-based feedforward–feedback control method were carried out. Compared with the feedforward compensator, the two-stage method achieved better tracking performance, especially in the high-frequency bandwidth. The test results verified that for a band-limited white noise of 0–30 Hz, the phase lag of the actuation system can be limited to ±5°. Finally, the two-stage method was applied to a real-time hybrid simulation of a two-story frame to illustrate its compensation effect on time delay.

Testing Platform and Delay Compensation Methods for Distributed Real-Time Hybrid Simulation

2020 ◽  
Vol 44 (6) ◽  
pp. 787-805
Author(s):  
H. L. Sadraddin ◽  
M. Cinar ◽  
X. Shao ◽  
M. Ahmed
Keyword(s):  
Real Time ◽  
Hybrid Simulation ◽  
Delay Compensation ◽  
Testing Platform ◽  
Compensation Methods

Implementation and application of the unconditionally stable explicit parametrically dissipative KR-αmethod for real-time hybrid simulation

2014 ◽  
Vol 44 (5) ◽  
pp. 735-755 ◽  
Author(s):  
Chinmoy Kolay ◽  
James M. Ricles ◽  
Thomas M. Marullo ◽  
Akbar Mahvashmohammadi ◽  
Richard Sause
Keyword(s):  
Real Time ◽  
Hybrid Simulation ◽  
Unconditionally Stable

Multi-rate Real Time Hybrid Simulation operated on a flexible LabVIEW real-time platform

2021 ◽  
Vol 239 ◽  
pp. 112308
Author(s):  
Jacob P. Waldbjoern ◽  
Amin Maghareh ◽  
Ge Ou ◽  
Shirley J. Dyke ◽  
Henrik Stang
Keyword(s):  
Real Time ◽  
Hybrid Simulation
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