Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation
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 usi...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-08-01
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| Series: | Frontiers in Built Environment |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/article/10.3389/fbuil.2020.00127/full |
| _version_ | 1818511144054161408 |
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| author | Nikolaos Tsokanas David Wagg Božidar Stojadinović |
| author_facet | Nikolaos Tsokanas David Wagg Božidar Stojadinović |
| author_sort | Nikolaos Tsokanas |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T23:29:27Z |
| format | Article |
| id | doaj.art-f688af63a6324a899f2f1a2b99c3444f |
| institution | Directory Open Access Journal |
| issn | 2297-3362 |
| language | English |
| last_indexed | 2024-12-10T23:29:27Z |
| publishDate | 2020-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Built Environment |
| spelling | doaj.art-f688af63a6324a899f2f1a2b99c3444f2022-12-22T01:29:28ZengFrontiers Media S.A.Frontiers in Built Environment2297-33622020-08-01610.3389/fbuil.2020.00127557472Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid SimulationNikolaos Tsokanas0David Wagg1Božidar Stojadinović2Institute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH, Zurich, SwitzerlandDepartment of Mechanical Engineering, University of Sheffield, Sheffield, United KingdomInstitute of Structural Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH, Zurich, SwitzerlandHybrid 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.https://www.frontiersin.org/article/10.3389/fbuil.2020.00127/fullreal-time hybrid simulationmodel predictive controlactuator dynamicsdynamic responsepolynomial extrapolationKalman filter |
| spellingShingle | Nikolaos Tsokanas David Wagg Božidar Stojadinović Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation Frontiers in Built Environment real-time hybrid simulation model predictive control actuator dynamics dynamic response polynomial extrapolation Kalman filter |
| title | Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation |
| title_full | Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation |
| title_fullStr | Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation |
| title_full_unstemmed | Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation |
| title_short | Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation |
| title_sort | robust model predictive control for dynamics compensation in real time hybrid simulation |
| topic | real-time hybrid simulation model predictive control actuator dynamics dynamic response polynomial extrapolation Kalman filter |
| url | https://www.frontiersin.org/article/10.3389/fbuil.2020.00127/full |
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