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Intelligent tracking guidance adapted to the ascent phase of aerospace vehicles

  • Xi'an University of Technology
  • Northwestern Polytechnical University Xian

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

Abstract

Aiming at the tracking guidance problem in ascent phase of aerospace vehicles, an intelligent guidance method based on adaptive dynamic programming (ADP) is proposed. Firstly, decoupling transformation is carried out for the motion model of aerospace vehicle. Throttle opening and angle of attack are adopted to implement velocity tracking and altitude tracking, respectively. Secondly, multiple constraints under the complex flight environment in ascent phase are established and the observer is designed to deal with nonlinear uncertainties. Then, the cost function of ascent phase tracking guidance problem is constructed, and an ADP method is proposed to achieve the intelligent solution. Finally, it is proved that the tracking error and weight estimation errors of the tracking guidance system are uniformly ultimately bounded. And the proposed intelligent guidance method is verified by simulation.

Original languageEnglish
Title of host publication2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331544706
DOIs
StatePublished - 2025
Event2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025 - Xi'an, China
Duration: 23 May 202525 May 2025

Publication series

Name2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025

Conference

Conference2025 Joint International Conference on Automation-Intelligence-Safety, ICAIS 2025 and International Symposium on Autonomous Systems, ISAS 2025
Country/TerritoryChina
CityXi'an
Period23/05/2525/05/25

Keywords

  • Adaptive dynamic programming
  • Aerospace vehicle
  • Ascent phase
  • Intelligent guidance

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