关键词: 自主空中加油, 软管-锥套式, 大气紊流, 卡尔曼滤波, LQG控制

Abstract: This paper proposes a stability control method for drogue effectively adapt to uncertain environment. Based on the non-linear model of the hose-drogue system been linearized and reduced, the atmospheric turbulence on the hose-drogue is considered as a random perturbation, and such disturbance regarded as parameter is combined with the state of reduced model to consist the augmented state variables. Then real-time Kalman filter is used to estimate the state variables, and LQG controller is designed to stabilize the drogue. The simulation results show that the method is able to track the variation of atmospheric turbulence in real-time, and of strong anti-jamming ability for it, which ensures the stability of the drogue.

Key words: autonomous aerial refueling, hose-drogue, atmospheric turbulence, Kalman filter, LQG control