Optimal bank reversal for high-lifting reentry vehicles

Zixuan Liang, Qingdong Li, Zhang Ren, Jian Chen, Zihao Xiong

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

4 Citations (Scopus)

Abstract

For high-lifting reentry vehicles, large tracking errors appear during the process of bank reversals, especially when the angular rate of the bank angle is low. An optimal bank reversal (OBR) approach is proposed in this paper mainly to solve this problem. The conventional bank reversal (CBR) which would cause large altitude tracking errors is simulated and analyzed on the high-lifting common aero vehicle (CAV) model. To minimize the tracking error during the bank reversal, a pre-control phase is added in the bank reversal process. This new OBR is designed based on the numerical trajectory prediction, and solved as a two-parameters optimization problem. Finally, in both nominal and dispersion cases, the CBR and the OBR approaches are simulated and compared. The proposed OBR approach is shown to own smaller altitude tracking errors during bank reversals, higher guidance precision for the terminal condition, and also good real-time performance.

Original languageEnglish
Title of host publication53rd IEEE Conference on Decision and Control,CDC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages965-969
Number of pages5
EditionFebruary
ISBN (Electronic)9781479977468
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014 - Los Angeles, United States
Duration: 15 Dec 201417 Dec 2014

Publication series

NameProceedings of the IEEE Conference on Decision and Control
NumberFebruary
Volume2015-February
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
Country/TerritoryUnited States
CityLos Angeles
Period15/12/1417/12/14

Fingerprint

Dive into the research topics of 'Optimal bank reversal for high-lifting reentry vehicles'. Together they form a unique fingerprint.

Cite this