A Convex Planning Method for Rocket Vertical Landing Trajectory Considering Iterative Compensation of Nonlinear Terms

Dong Guo, Hong Zhao, Yulong Li, Jianyou Huang

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

Abstract

In this paper, an online trajectory planning method considering iterative compensation of nonlinear terms is proposed for the vertical landing phase mission of reusable rockets. First, the rocket dynamics equation is established in the vertical landing mission context, and the multi-constrained trajectory planning problem model is given. On this basis, the landing trajectory planning problem is convexification and discretized. For the problem of strong nonlinearity, an iterative compensation solution strategy is designed. The iterative solution sequence of the nonlinear term is weighted with the linear speculation sequence as compensation, solving the planning difficulties caused by nonlinearity. Finally, the proposed trajectory planning method is simulated, and the results show that the method can quickly plan the vertical landing trajectory with strong aerodynamic nonlinear disturbance, and has good robustness to initial disturbance, aerodynamic deviation, and atmospheric density deviation.

Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
PublisherIEEE Computer Society
Pages3906-3911
Number of pages6
ISBN (Electronic)9789887581543
DOIs
StatePublished - 2023
Externally publishedYes
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Keywords

  • convex planning
  • iterative compensation
  • Rocket landing
  • vertical landing

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