[期刊论文] 李鸿坤, 黄锐, 赵永辉, 胡海岩. Maneuver load alleviation for high performance aircraft robust to flight condition variations, Journal of Vibration and Control, 2019, 25(5): 1044-1057.

Abstract：The design of a robust maneuver load alleviation (MLA) system for a high-performance aircraft is studied in this paper. First, the aeroservoelastic (ASE) models of a high-performance military aircraft in climbing maneuver at varying Mach numbers are established. Then, a linear parameter-varying (LPV) model of the ASE systems is constructed and anH∞${\mathrm{<span\; style="font-size:16px;font-family:arial,\; helvetica,\; sans-serif;line-height:1.5em;">H</span>}}_{\mathrm{<span\; style="font-size:16px;font-family:arial,\; helvetica,\; sans-serif;line-height:1.5em;">\infty </span>}}$  robust controller is designed based on the LPV model. The robust control is realized via a pair of outboard ailerons to alleviate the wing-root bending moments in the climbing maneuvers. To compensate the loss of performance in the load alleviation, a controller based on recurrent neural networks is designed in the flight control. Finally, some numerical simulations are made to testify the performance and robustness of the MLA system.