Dynamic inversion control for RLV reentry attitude based on fuzzy-neural disturbance observer

In order to minimize the effects of large parameter uncertainties and external disturbance, a method of RLV reentry attitude control based on fuzzy-neural disturbance observer was proposed. Nonlinear dynamic inversion controller was focused on nominal system and ensures control performance. Parameter uncertainties and external disturbance were regarded as total system disturbance, which was estimated by B-spline fuzzy-neural disturbance observer and added to system controller as compensating control. Considering aerodynamic parameter uncertainties and disturbance moments, simulations were made to invalidate the fuzzy-neural dynamic inversion controller compared with dynamic inversion controller. The results show that the proposed controller has strong robustness to parameter uncertainties and external disturbance and makes up for dynamic inversion method.