Directional Flight Envelope Prediction based on Convex Optimization

Zhidong Lu, Haichao Hong, Florian Holzapfel

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

1 Scopus citations

Abstract

Flight envelope information is essential to flight safety. This paper presents a new method to predict the flight envelope and perform online safety monitoring, where the flight envelope is represented by the reachable set. The proposed method formulates an optimal control problem to determine, in a specific direction, the boundary point of the reachable set. This optimal control problem is then solved using a convex-optimization-based framework in a computationally efficient manner. Based on this efficient boundary point determination method, we propose a strategy to predict local flight envelopes in some critical directions online. Meanwhile, a series of safety monitoring indicators are extracted from the predicted envelope information. Simulation results on a VTOL aircraft model show that the method can effectively estimate local flight envelopes, generate the safety indicators online, and address the impact of failure in time.

Original languageEnglish
Title of host publicationAIAA SciTech Forum 2022
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624106316
DOIs
StatePublished - 2022
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 - San Diego, United States
Duration: 3 Jan 20227 Jan 2022

Publication series

NameAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
Country/TerritoryUnited States
CitySan Diego
Period3/01/227/01/22

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