基于CFD降阶模型的阵风减缓主动控制研究

doi:10.7527/S1000-6893.2014.0192

Abstract

Abstract:

In flight, aircraft suffers atmospheric turbulence and the flight quality degrades. Gust load alleviation is an important technique for improving the performance of aircraft. Most of the existing gust response analysis focuses on discrete gust while study on continuous gust attracts little attention. The continuous turbulence time domain signals can be obtained with the shaping filter. In transonic regime, computational fluid dynamics (CFD)-based gust loads reduced-order models (ROM) in the state-space form are built by the system identification method. Furthermore, to design a feasible controller, the balanced truncation approach is used to reduce the model order. Model predictive control (MPC) algorithm is adopted to control the deflection of the control surface so that gust load alleviation is realized. The AGARD445.6 wing configuration is used as a numerical example to demonstrate the present gust ROM methodology and alleviation effects. It has been shown that the gust ROM with MPC law can suppress the wing root bending moment effectively; meanwhile, the deflection of the control surface can satisfy the hard constrain.

Key words: gust alleviation control, reduced-order models, aeroelasticity, transonic, atmospheric turbulence, model predictive control

CLC Number:

V211
V215.3

NIE Xueyuan, YANG Guowei. Gust alleviation active control based on CFD reduced-order models[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2015, 36(4): 1103-1111.

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Gust alleviation active control based on CFD reduced-order models

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