Multiple-Point Adaptive Performance Simulation Tuned to Aeroengine Test-Bed Data

摘要

Adaptive simulation technology enables the calibration of a performance simulation code to a given in-service gasnturbine and provides correct prediction of its performance. This is a fundamental prerequisite for reliable gas-pathndiagnostics and performance health monitoring. In this paper, a new offdesign performance adaption algorithm isnintroduced. Cranfield University’s consolidated engine performance simulation code PYTHIA is enhanced with thencapability of offdesign performance adaptation to model available field data. The software minimizes, via a geneticnalgorithm, an objective function that measures the error between an initial engine model output and the real enginendata by varying some characteristics’ scaling factors. In this study, a multiple-point adaptation procedure wasnapplied to a two-shaft aeroengine. This generated an optimized engine model that minimized its deviations from a setnof test-bed data. The adapted model was then tested against different real data, resulting in an average error, over 8nmeasured parameters, of less than 0.35%.