Dynamical stability analysis of MDOF real-time hybrid system

Gao, Xiuyu; You, Shawn

doi:10.1016/j.ymssp.2019.106261

Cited by 20 publications

(16 citation statements)

References 16 publications

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“…Before conducting the RTHS simulations with different delay values, an estimation of the critical delay is obtained with the method proposed by Gao and You (2019). This method consists in constructing the EOM of the hybrid system with some assumptions synchronization errors (delay and amplitude errors).…”

Section: Critical Delay Estimationmentioning

confidence: 99%

“…Maghareh et al (2017) established a predictive stability indicator, demonstrating that some partitioning choices are more sensitive to delay than others. Gao and You (2019) proposed generalized EOM for the hybrid system to predict the RTHS stability limit. All of these methodologies are useful to evaluate different partitioning choices, avoiding cases susceptible to instability.…”

Section: Introductionmentioning

confidence: 99%

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Online Stability Analysis for Real-Time Hybrid Simulation Testing

Gálmez

Fermandois

2020

Front. Built Environ.

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Real-time hybrid simulation (RTHS) is an experimental technique where a critical element of a structural system is tested in the laboratory while the rest is represented through numerical simulations. A challenging aspect of this technique is the correct application of boundary conditions on the experimental substructure using actuators and sensors. The inherent dynamics of an actuator and its interaction with the physical specimen causes a time delay between commanded and measured displacements. It has been shown that delay in RTHS affects the accuracy of an experiment and even can cause instability. Therefore, to avoid stability problems, a proper partitioning choice and an appropriate compensation method for actuator dynamics should be considered. However, there will always be uncertainty in the experimental structure's behavior, so it is essential to check the system's stability during the test execution. In this paper, a stability analysis using energy methods is performed to develop an online stability indicator for the RTHS test. This indicator's goal is to detect stability problems before it can cause excessive displacements in the system, thus avoiding damage in the physical specimen or the laboratory equipment. The effectiveness of the proposed online stability indicator is demonstrated through numerical simulations taking into account the virtual RTHS benchmark problem with different compensation strategies. The proposed indicator is an excellent tool to monitor the RTHS test, improving the reliability of the experimental test while maintaining the safety of the laboratory resources.

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Section: Critical Delay Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Online Stability Analysis for Real-Time Hybrid Simulation Testing

Gálmez

Fermandois

2020

Front. Built Environ.

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“…Albeit attractive, RTHS comes with numerous challenges. The inherent dynamics of the transfer system used, along with interruptions to the communication between numerical and physical substructures, introduce time delays into the hybrid model, altering the dynamic response of the tested system (Gao and You, 2019). As a result, implementation of adequate control techniques to compensate for such time delays is necessary.…”

Section: Introductionmentioning

confidence: 99%

Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation

Tsokanas

Wagg

Stojadinović

2020

Front. Built Environ.

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Hybrid simulation is an efficient method to obtain the response of an emulated system subjected to dynamic excitation by combining loading-rate-sensitive numerical and physical substructures. In such simulations, the interfaces between physical and numerical substructures are usually implemented using transfer systems, i.e., an arrangement of actuators. To guarantee high fidelity of the simulation outcome, conducting hybrid simulation in hard real-time is required. Albeit attractive, real-time hybrid simulation comes with numerous challenges, such as the inherent dynamics of the transfer system used, along with communication interrupts between numerical and physical substructures, that introduce time delays to the overall hybrid model altering the dynamic response of the system under consideration. Hence, implementation of adequate control techniques to compensate for such delays is necessary. In this study, a novel control strategy is proposed for time delay compensation of actuator dynamics in hard real-time hybrid simulation applications. The method is based on designing a transfer system controller consisting of a robust model predictive controller along with a polynomial extrapolation algorithm and a Kalman filter. This paper presents a proposed tracking controller first, followed by two virtual real-time hybrid simulation parametric case studies, which serve to validate the performance and robustness of the novel control strategy. Real-time hybrid simulation using the proposed control scheme is demonstrated to be effective for structural performance assessment.

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“…In response to this benchmark problem, various compensation methods were proposed. [29][30][31][32][33][34][35][36][37][38][39] Fermandois 29 applied a feedback regulator to model-based compensation (MBC) approach to improve its robustness for undesired disturbance and sensor noise. Najafi and Spencer 31 introduced an adaptive model reference control method for actuator tracking.…”

Section: Introductionmentioning

confidence: 99%

“…More recently, Silva et al 28 proposed a benchmark problem for RTHS of a three‐story steel frame. In response to this benchmark problem, various compensation methods were proposed 29–39 . Fermandois 29 applied a feedback regulator to model‐based compensation (MBC) approach to improve its robustness for undesired disturbance and sensor noise.…”

Section: Introductionmentioning

confidence: 99%

Experimental verification of a frequency domain evaluation index‐based compensation for real‐time hybrid simulation

Guo

Chen

et al. 2020

Struct Control Health Monit

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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.

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Dynamical stability analysis of MDOF real-time hybrid system

Cited by 20 publications

References 16 publications

Online Stability Analysis for Real-Time Hybrid Simulation Testing

Online Stability Analysis for Real-Time Hybrid Simulation Testing

Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation

Experimental verification of a frequency domain evaluation index‐based compensation for real‐time hybrid simulation

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