Title :
Real-time planning for hypersonic vehicle in the case of a very small memory
Author :
Meng, Zhongjie ; Shen, Haibing ; Chen, Kai ; Huang, Panfeng ; Yan, Jie
Author_Institution :
Coll. of Astronaut., Northwestern Polytech. Univ., Xi´´an
Abstract :
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.
Keywords :
aerospace engineering; aerospace simulation; planning (artificial intelligence); real-time systems; ADSP-21364; airborne digital computer; dynamic environment; hypersonic vehicle; improved variable step sparse A* algorithm; real-time planning; real-time trajectory planning; simulated flight software; trajectory planner; Aerospace simulation; Aircraft; Algorithm design and analysis; Computational modeling; Computer simulation; Meeting planning; Strategic planning; Testing; Trajectory; Vehicle dynamics; IVSSAS; hypersonic vehicle; the memory limit; trajectory planner; trajectory planning;
Conference_Titel :
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-2799-4
Electronic_ISBN :
978-1-4244-2800-7
DOI :
10.1109/ICIEA.2009.5138350