Nonlinear intelligent reentry control for hypersonic vehicles based on B-spline FLNDO

A nonlinear intelligent reentry control method with B-spline functional link network disturbance observer (BFLNDO) is presented for hypersonic vehicles (HSVs). The nonlinear generalized predictive control (NGPC) algorithm is employed to design the nominal control law of the attitude system of the HSV. The output prediction defined on finite horizon is carried out via Taylor series expansion. The unmodeled dynamics and unknown uncertainties/disturbances during reentry are estimated by a new BFLNDO. The stability analyses of the BFLNDO and close-loop control system are provided also. Finally, the simulation results show satisfactory performance of the controller for the tracking of reentry attitude angles, and the intelligent uncertainty/disturbance rejection are successfully accomplished.