Ascent Guidance Method for Combined-cycle Vehicle Based on Receding Horizon Pseudo-spectral Optimization

Abstract

To meet the requirement of adaptability of the ascent guidance of combined-cycle vehicle under multi-constraints, a closed-loop guidance method based on receding horizon pseudo-spectral optimization was studied. The guidance was carried out under the framework of the hierarchy-structure receding horizon optimization, which applied segmented pseudo-spectral method to generate the online real-time command, and the command can be updated iteratively with the state feedback. The mesh update strategy was introduced to improve the efficiency of the algorithm, and the guidance cycle was adjusted adaptively based on real-time state deviation. Simulation results show that the proposed guidance method is feasible, and it can effectively suppress the influence of model parameter uncertainty and external interference. The guidance accuracy meets the mission requirements. The calculation time is in the order of hundred milliseconds. Thus, the method is of certain value for engineering application.