A Weakly Model Dependent Control Scheme for a Class of Large-Scale Long-Range Aerospace Transportation Vehicle

Global long-range transportation has been a new study focus in aerospace transportation field in recent years. This work mainly proposes a weakly model dependent control scheme to deal with control problems caused by large-scale long-range transportation, including aerodynamic parameter identification, low/dense-frequency vibration and complex disturbances. To this end, an autonomous prediction/correction strategy is designed incorporating off-line training and on-line incremental correction to obtain aerodynamic parameters; a joint design involving frequency identification and adaptive correction is given to attenuate complex vibration; and a synthesized robust control law, composed of disturbance observer, prescribed performance sliding-mode and robust feedback law, is then put forward enabling a satisfactory control performance. Besides the scheme design, the current study results and numerical simulations of three parts are given to show the effectiveness of the proposed techniques.