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

•RTHS strategy which enables the substructure to execute at two different rates.•Optimizing computational resources while maintaining good actuator control.•Performance of the strategy is successfully evaluated on a mass-spring-damper system. This paper presents a real-time hybrid simulation (RTHS)...

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Bibliographic Details
Published in:Engineering structures Vol. 239; p. 112308
Main Authors: Waldbjoern, Jacob P., Maghareh, Amin, Ou, Ge, Dyke, Shirley J., Stang, Henrik
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 15.07.2021
Elsevier BV
Subjects:
Actuators
Algorithms
Computer applications
Data points
Digital signal processing
Digital signal processors
Experimental substructure
Field programmable gate array
Field programmable gate arrays
Hardware-in-the-loop
Mass-spring-damper systems
Mathematical models
Microprocessors
Numerical models
Numerical substructure
Performance evaluation
Polynomials
Real time
Real-time hybrid simulation
Sampling
Simulation
Performance evaluation
Real-time hybrid simulation
Field programmable gate array
Hardware-in-the-loop
Experimental substructure
Numerical substructure
ISSN:0141-0296, 1873-7323
Online Access:Get full text
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Summary:•RTHS strategy which enables the substructure to execute at two different rates.•Optimizing computational resources while maintaining good actuator control.•Performance of the strategy is successfully evaluated on a mass-spring-damper system. This paper presents a real-time hybrid simulation (RTHS) strategy where the numerical and experimental substructures are executed at two different rates to optimize computational resources while maintaining an effective actuator control. The concept is referred to here as multi-rate real-time hybrid simulation (mrRTHS), and this approach is intended to enable low-cost RTHS by facilitating testing in the case of limited computational resources. Operated on a Laboratory Virtual Engineering Workshop (LabVIEW) real-time target, the mrRTHS concept is demonstrated through both a single- and multipledegree-of-freedom (SDOF) and (MDOF) mass-spring-damper system. The numerical substructure generates a displacement signal with a coarse time step of Δt. Using the current and three previous displacement data points, a finer control signal is defined with a time step of δt, using a third-order polynomial algorithm–referred to here as the polynomial fitting extrapolator. Both the numerical substructure and polynomial fitting extrapolator is executed with a sampling rate of Δt by an on-board single-core processor–referred to here as the digital signal processor (DSP). Through a field-programmable gate array (FPGA) the control signal is compensated and transmitted to the transfer system through an I/O module with a sampling rate of 1 kHz (i.e. δt = 0.001 sec). The ratio between Δt and δt are an integer–referred to here as the execution ratio. For an execution ratio of 1:5 and 1:10 the system performance is evaluated against a numerical model of the emulated structure–referred to here as the reference structure. For both the SDOF and MDOF system, a good correlation between the mrRTHS and reference is achieved with execution ratios of 1:5 and 1:10. When changing the execution ratio from 1:5 to 1:10, approximately 50% reduction of the required computational resources on the DSP is achieved.
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ISSN:0141-0296
1873-7323
DOI:10.1016/j.engstruct.2021.112308