Real-time planning for hypersonic vehicle in the case of a very small memory

Zhongjie Meng, Haibing Shen, Kai Chen, Panfeng Huang, Jie Yan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages996-1000
Number of pages5
DOIs
StatePublished - 2009
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 25 May 200927 May 2009

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Conference

Conference2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Country/TerritoryChina
CityXi'an
Period25/05/0927/05/09

Keywords

  • Hypersonic vehicle
  • IVSSAS
  • The memory limit
  • Trajectory planner
  • Trajectory planning

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