This paper revisits the NASA Benchmark Active Control Technology (BACT) simulation model (BSM) detailed in NASA/TP-1998-206270. In particular, predictive cost adaptive control (PCAC) is applied to BSM for active flutter suppression (AFS) using trailing-edge (TE) and upper-spoiler (US) flap deflections with leading-edge (LE) and TE normal-acceleration measurements. Unlike prior AFS techniques applied to BSM, PCAC uses online, closed-loop system identification to build a model during simulated flight without the need for analytical modeling or data-intensive training. The ability of PCAC to extend the flutter boundary of BSM is investigated through numerical simulations of the nominal and off-nominal system using a single set of hyperparameters for all flight conditions using TE and US flaps as well as LE and TE normal-acceleration measurements.
Predictive Cost Adaptive Control of the NASA Benchmark Flutter Model
01.07.2025
Aufsatz (Konferenz) , Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BENCHMARK ACTIVE CONTROL TECHNOLOGY - Generalized Predictive Control for Active Flutter Suppression
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