Real-time planning for hypersonic vehicle in the case of a very small memory
Zhongjie Meng, Haibing Shen, Kai Chen, Panfeng Huang, Jie Yan · 2009
To improve the viability of hypersonic vehicle in the dynamic environment, the study of real-time trajectory planning has a great value. The high speed of the vehicle determines a higher planning speed. The current level of airborne digital computer determines a very small memory and computing time. All of the limits make the planning more difficult. The viable strategy and the algorithm named improved variable step sparse A* algorithm (IVSSAS) are designed. The trajectory planner based on ADSP-21364 and the simulated flight software are developed. A lot of experiments are carried out on simulate flight test. All the tests validate that the strategy and algorithm are effective upon a very small memory. From the results of the flight simulation, the trajectory can dodge all kinds of real-time threat and satisfy the flight command of hypersonic vehicle.