A MULTI-INFORMATION NUMERICAL PREDICTION CORRECTION REENTRY GUIDANCE METHOD FOR SUBORBITAL REUSABLE LAUNCH VEHICLE

In numerical prediction-correction (NPC) reentry vehicle guidance method, the control commands-bank angle need to be searched online, and the traditional search algorithm is in generally based on iterative method which requires the gradient information of range and bank angle. The uncertainty of the calculation time in the iterative method affects the reliability and stability of the NPC guidance method, thus limits the application put into use. This paper presents a multi-information numerical prediction-correction (MINPC) guidance method without iterations, which is also easy to parallelize. Using this method, multi-mode accessible region of the vehicle can be initially generated by direct shooting (DS) method. Then the value of bank angle calculate by following the rules, that it should make the target point of vehicle is in the accessible region generated before. Meanwhile, the sign of bank angle is determined by a new lateral guidance logical which is perfect match the MINPC. Thereby, the MINPC guidance method can satisfy the time constraints of generating guidance command in real time. In addition, we implement the MINPC algorithm with a Compute Unified Device Architecture (CUDA) device. Finally, some numerical simulations are carried out for different mission scenarios with significant dispersions, suggesting that the new method is capable for the suborbital reusable launch vehicle (SRLV) reentry guidance mission.