A study on a benchmark control problem for real-time hybrid simulation with a tracking error-based adaptive compensator combined with a supplementary proportional-integral-derivative controller

Tao, Junjie; Mercan, Oya

doi:10.1016/j.ymssp.2019.106346

Cited by 21 publications

(18 citation statements)

References 21 publications

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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%

“…Ouyang et al 33 proposed a backstepping adaptive controller based on Lyapunov stability analysis. Tao and Mercan 35 proposed a tracking error‐based adaptive compensator combined with a supplementary proportional‐integral‐derivative controller. Wang et al 37 developed an adaptive Kalman‐based noise filter and an adaptive two‐stage delay compensation method.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…More sophisticated techniques are known as adaptive compensation (Wallace et al, 2005b;Bonnet et al, 2007), where the control parameters are adjusted during the RTHS to improve synchronization. Meanwhile, methods such as Tao and Mercan (2019) or Xu W. et al (2019) are based on a frequency domain analysis to adjust parameters of a first-order transfer function. Other methods like Chae et al (2013) or Palacio-Betancur and Gutierrez Soto (2019) estimate the plant through Taylor series expansion and adjust the parameters in the time domain.…”

Section: Introductionmentioning

confidence: 99%

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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“…Several of these issues have been examined in isolation and thus, RTHS has been a subject for continuous development over the past two decades. For instance, researchers have improved the accuracy and stability of interface condition enforcement, see ( Gao et al, 2013 ; Ou et al, 2015 ; Palacio-Betancur and Gutierrez Soto, 2019 ; Tao and Mercan, 2019 ; Wang et al, 2019 ; Xu D. et al, 2019 ). Further, Chae et al (2013) , Chen et al (2015) , Maghareh et al (2020) , and Condori et al (2020) developed adaptive actuator compensation schemes to achieve improved control of servo-hydraulic systems with non-linearities.…”

Section: Introductionmentioning

confidence: 99%

A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation

Maghareh

Montoya

et al. 2020

Front. Built Environ.

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Currently, the lack of (1) a sufficiently integrated, adaptive, and reflective framework to ensure the safety, integrity, and coordinated evolution of a real-time hybrid simulation (RTHS) as it runs, and (2) the ability to articulate and gauge suitable measures of the performance and integrity of an experiment, both as it runs and post-hoc, have prevented researchers from tackling a wide range of complex research problems of vital national interest. To address these limitations of the current state-of-the-art, we propose a framework named Reflective Framework for Performance Management (REFORM) of real-time hybrid simulation. REFORM will support the execution of more complex RTHS experiments than can be conducted today, and will allow them to be configured rapidly, performed safely, and analyzed thoroughly. This study provides a description of the building blocks associated with the first phase of this development (REFORM-I). REFORM-I is verified and demonstrated through application to an expanded version of the benchmark control problem for real-time hybrid simulation.

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A study on a benchmark control problem for real-time hybrid simulation with a tracking error-based adaptive compensator combined with a supplementary proportional-integral-derivative controller

Cited by 21 publications

References 21 publications

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

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

Online Stability Analysis for Real-Time Hybrid Simulation Testing

A Reflective Framework for Performance Management (REFORM) of Real-Time Hybrid Simulation

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