Development of New Predictive Stability and Performance Metrics for Real-time Hybrid Simulation (NEES-2013-1205)

<p><strong>Title</strong>: Development of New Predictive Stability and Performance Metrics for Real-time Hybrid Simulation (NEES-2013-1205)</p> <p><strong>Year Of Curation: </strong>2014</p> <p><strong>Description: </strong>In this study, new stability and performance indicators, predictive stability indicator (PSI) and predictive performance indicator (PPI), are proposed to predict the stability margin and performance of an RTHS system prior to its implementation. PSI and PPI assess how transfer system dynamics and computational/communication delays, which are the significant sources of systematic experimental error in RTHS, destabilize and distort RTHS responses. Moreover, along with the RTHS stability switch criterion, predictive stability and performance indicators are used to successfully conduct an RTHS experiment.</p> <p><strong>Award: </strong>http://www.nsf.gov/awardsearch/showAward?AWD_ID=1136075</p> <p><strong>PIs & CoPIs: </strong>Amin Maghareh, Shirley Dyke, Fangshu Lin, Arun Prakash</p> <p><strong>Dates: </strong>June 01, 2013 - November 25, 2013</p> <p><strong>Organizations: </strong>Purdue University</p> <p><strong>Facilities: </strong>Purdue University at West Lafayette, IN, United States</p> <p><strong>Sponsor: </strong>NSF - CCF - 1136075</p> <p><strong>Keywords: </strong>--</p> <p><strong>Publications: </strong>Jeffrey Rhoads, "Establishing Predictive Indicators for Stability and Performance of SDOF Real-time Hybrid Simulation" </p> <nb:citations></nb:citations>