New method of modeling uncertainty for robust flutter suppression
Kaihe Liu, Yanfei Jin
Abstract: This note presents a reduced-order scheme for modeling an aeroservoelastic system with airspeed and air-density variations. The new scheme exhibits the effect of order reduction compared with Moulin’s method when the structured airspeed and air-density uncertainties are taken into consideration. The lower dimension of the uncertainty block means a lower order for robust controller of flutter suppression and faster running of the MATLAB program. The proposed scheme was used to design the robust controllers to expand the flutter boundary of the model of a multiple-actuated wing. Both single-input/single-output and multi-input/multi-output controllers were designed via Moulin’s method and proposed scheme for each uncertainty condition. Compared with Moulin’s method, the new scheme enables one to design a robust controller of better performances, such as better robust stability and higher airspeed of flutter instability. Among all the closed-loop controllers, the best one reached an improvement of 49.3% in the critical flutter speed. These results testified that the reduced-order scheme is very effective and useful.
原文链接: https://arc.aiaa.org/doi/abs/10.2514/1.C031987?journalCode=ja
