Aerobatic Aircraft Guidance Design for Air-Race Scenario

P. Promod, Atnab Maity, Haichao Hong, Matthias Bittner, Florian Holzapfel

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

1 Scopus citations

Abstract

The guidance design of aerobatic aircraft in air-race is to ensure several stringent terminal conditions at the race gates as well as to satisfy bounds on control and structural load factor. Also, it should be robust in presence of uncertainties in aerodynamic parameters. All these complexities make it a challenging problem. To meet these requirements, the generalized model predictive static programming (G-MPSP) based suboptimal guidance design with hard terminal and input inequality constraints is presented in this paper. Penalty function approach is followed with the G-MPSP algorithm to ensure input constraints. To demonstrate the robustness of the proposed guidance algorithm, the simulation results are carried out considering aerodynamic parameter uncertainties.

Original languageEnglish
Title of host publicationCCTA 2019 - 3rd IEEE Conference on Control Technology and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages795-800
Number of pages6
ISBN (Electronic)9781728127675
DOIs
StatePublished - Aug 2019
Event3rd IEEE Conference on Control Technology and Applications, CCTA 2019 - Hong Kong, China
Duration: 19 Aug 201921 Aug 2019

Publication series

NameCCTA 2019 - 3rd IEEE Conference on Control Technology and Applications

Conference

Conference3rd IEEE Conference on Control Technology and Applications, CCTA 2019
Country/TerritoryChina
CityHong Kong
Period19/08/1921/08/19

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