Investigation of the effect of transfer system delay on multi-degree of freedom real-time hybrid simulation

2014 ◽  
pp. 3895-3901
Author(s):  
A Maghareh ◽  
S Dyke
Keyword(s):  
Real Time ◽  
Hybrid Simulation ◽  
Degree Of Freedom ◽  
Transfer System ◽  
System Delay

scholarly journals Development of a hybrid simulation method for current collection systems, using a real-time multi degree-of-freedom catenary model

2018 ◽  
Vol 84 (867) ◽  
pp. 18-00229-18-00229
Author(s):  
Shigeyuki KOBAYASHI ◽  
Yoshitaka YAMASHITA ◽  
Takayuki USUDA ◽  
David P. STOTEN
Keyword(s):  
Real Time ◽  
Hybrid Simulation ◽  
Simulation Method ◽  
Degree Of Freedom ◽  
Current Collection

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.

scholarly journals Mixed Sensitivity-Based Robust H∞ Control Method for Real-Time Hybrid Simulation

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 840
Author(s):  
Xizhan Ning
Keyword(s):  
Real Time ◽  
Control Method ◽  
Weighting Function ◽  
Hybrid Simulation ◽  
Shaking Table ◽  
Transfer System ◽  
Hydraulic Actuator ◽  
Earthquake Excitation ◽  
Engineering Structures ◽  
Weighting Functions

Real-time hybrid simulation (RTHS), dividing the emulated structure into numerical substructures (NS) and physical substructures (PS), is a powerful technique to obtain responses and then to assess the seismic performance of civil engineering structures. A transfer system, a servo-hydraulic actuator or shaking table, is used to apply boundary conditions between the two substructures. However, the servo-hydraulic actuator is inherently a complex system with nonlinearities and may introduce time delays into the RTHS, which will decrease the accuracy and stability of the RTHS. Moreover, there are various uncertainties in RTHS. An accurate and robust actuator control strategy is necessary to guarantee reliable simulation results. Therefore, a mixed sensitivity-based H∞ control method was proposed for RTHS. In H∞ control, the dynamics and robustness of the closed-loop transfer system are realized by performance weighting functions. A form of weighting function was given considering the requirement in RTHS. The influence of the weighting functions on the dynamics was investigated. Numerical simulations and actual RTHSs were carried out under symmetric and asymmetric dynamic loads, namely sinusoidal and earthquake excitation, respectively. Results indicated that the H∞ control method used for RTHS is feasible, and it exhibits an excellent tracking performance and robustness.

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.

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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