大气层内固体火箭多约束鲁棒三维能量管理制导

In order to accurately adjust terminal constraints in a large range for solid-propellant launch vehicles, a novel robust three-dimensional energy management guidance method in endo-atmosphere is proposed. The remaining engine energy is consumed by on-line programming of the lateral velocity capability curve. The terminal constraints are expressed as equations about angle of attack and velocity capability curve parameters, and the closed-loop guidance problem is transformed into the solution of the equations. Aiming at path constraints such as dynamic pressure, overload and control rate of change during flight, the feasible boundary of the angle of attack and velocity capability curve is constructed. In view of the aerodynamic coefficients and engine parameter uncertainties, the cubature Kalman filters (CKF) is used to identify the uncertainties. The simulation results show that compared with the model predictive static programming algorithm and the improved particle swarm optimization algorithm, the proposed algorithm greatly improves the adjustment range of the terminal velocity, robustness and computational efficiency.