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Assessment Measures for Hybrid Simulation: A Discussion of Recent Developments

By Reza Mirza Hessabi1, Oya Mercan1

1. University of Toronto

Published on


Recently, a summary of some of the available assessment measures that can be implemented by users to evaluate the accuracy of a hybrid simulation was published in the NEEShub. The current document reviews two more sets of tracking measures, namely, Phase and Amplitude Error Indices (PAEI) and frequency domain-based (FDB) error indicators that can be successfully used as a post-processing tool. PAEI and FDB do not use test setup specific parameters and as such, can be used as standard tools for assessing the quality of the experiments performed in different laboratories or under different conditions. Additionally, FDB error indicators use uncomplicated mathematical functions, which make them suitable for implementation in real-time hybrid simulation. They been already implemented and experimentally verified as online indicators and have been incorporated into an adaptive servo-hydraulic control loop. In this document, through several numerical and experimental simulations, the capabilities of PAEI and FDB indicators in assessing the success of hybrid simulations are demonstrated.

Cite this work

Researchers should cite this work as follows:

  • Reza Mirza Hessabi; Oya Mercan (2015), "Assessment Measures for Hybrid Simulation: A Discussion of Recent Developments,"

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