2022
DOI: 10.1049/cth2.12380
|View full text |Cite
|
Sign up to set email alerts
|

Design of linear parameter‐varying controller for morphing aircraft using inexact scheduling parameters

Abstract: In this paper, the design problem of Gain‐Scheduled Output‐Feedback (GSOF) controllers using inexact scheduling parameters for morphing aircraft during the wing transition process is addressed. Both the stability of the closed‐loop system and the L2 gain performance can be guaranteed under the controller based on measured (not actual) scheduling parameters. Firstly, the linear parameter‐varying (LPV) model of morphing aircraft is established by Jacobian linearization and the additive uncertainty is introduced … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 7 publications
(1 citation statement)
references
References 38 publications
0
1
0
Order By: Relevance
“…[ 2 ] At the same time, it brings various safety flight problems, [ 3 ] and the state of variable structure (VS) is one of the factors affecting the aircraft's safe flight. [ 4 ] So, the monitoring of the aircraft's health state is particularly important. [ 5 ] Various sensing technology solutions have been developed to monitor the health status of the aircraft, [ 6 ] including differential pressure sensing technology, [ 7 ] fiber optic sensing technology, [ 8 ] capacitive sensing technology, [ 9 ] and electromagnetic sensing technology.…”
Section: Introductionmentioning
confidence: 99%
“…[ 2 ] At the same time, it brings various safety flight problems, [ 3 ] and the state of variable structure (VS) is one of the factors affecting the aircraft's safe flight. [ 4 ] So, the monitoring of the aircraft's health state is particularly important. [ 5 ] Various sensing technology solutions have been developed to monitor the health status of the aircraft, [ 6 ] including differential pressure sensing technology, [ 7 ] fiber optic sensing technology, [ 8 ] capacitive sensing technology, [ 9 ] and electromagnetic sensing technology.…”
Section: Introductionmentioning
confidence: 99%