Reentry trajectory planning based on genetic optimization of terminal matching

• Published in: Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology Vol. 3; pp. 1151 - 1155
• Main Authors: Yihua Tang, Shilu Chen, Min Xu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-08-2011
• Subjects: Aerodynamics; genetic algorithm; Genetic algorithms; Heating; Optimization; Planning; reentry vehicle; Trajectory; trajectory planning; Vehicles
• ISBN: 9781612840871; 1612840876
• DOI: 10.1109/EMEIT.2011.6022991

A reentry trajectory planning method based on genetic optimization of terminal matching has been studied for the lifting reentry vehicle with strong terminal constraints. Considering the lifting reentry characters and mission requires, the reentry trajectory was divided into three phases: initial descent phase, quasi-equilibrium glide phase and terminal matching phase. One-parameter iterative method was used for the rapid trajectory planning of initial descent phase and quasi-equilibrium glide phase. The control variable of terminal matching phase was discretized based on global interpolation polynomial, and then be optimized with genetic algorithm. Simulation results show that this reentry trajectory planning method can generate a high precision reentry trajectory with stringent terminal constraints.