Joint State and Parameter Estimation for Hypersonic Glide Vehicles Based on Moving Horizon Estimation via Carleman Linearization Article Swipe
Yudong Hu
,
Changsheng Gao
,
Wuxing Jing
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/aerospace9040217
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/aerospace9040217
Aimed at joint state and parameter estimation problems in hypersonic glide vehicle defense, a novel moving horizon estimation algorithm via Carleman linearization is developed in this paper. First, the maneuver characteristic parameters that reflect the target maneuver law are extended into the state vector, and a dynamic tracking model applicable to various hypersonic glide vehicles is constructed. To improve the estimation accuracy, constraints such as path and parameter change amplitude constraints in flight are taken into account, and the estimation problem is transformed into a nonlinear constrained optimal estimation problem. Then, to solve the problem of high time cost for solving a nonlinear constrained optimal estimation problem, in the framework of moving horizon estimation, nonlinear constrained optimization problems are transformed into bilinear constrained optimization problems by linearizing the nonlinear system via Carleman linearization. For ensuring the consistency of the linearized system with the original nonlinear system, the linearized model is continuously updated as the window slides forward. Moreover, a CKF-based arrival cost update algorithm is also provided to improve the estimation accuracy. Simulation results demonstrate that the proposed joint state and parameter estimation algorithm greatly improves the estimation accuracy while reducing the time cost significantly.
Related Topics
Concepts
Linearization
Nonlinear system
Control theory (sociology)
Estimation theory
Feedback linearization
Computer science
Mathematical optimization
State vector
State (computer science)
Nonlinear programming
Hypersonic speed
Mathematics
Algorithm
Engineering
Control (management)
Artificial intelligence
Quantum mechanics
Classical mechanics
Physics
Aerospace engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/aerospace9040217
- https://www.mdpi.com/2226-4310/9/4/217/pdf?version=1650007880
- OA Status
- gold
- Cited By
- 7
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4224057945
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4224057945Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/aerospace9040217Digital Object Identifier
- Title
-
Joint State and Parameter Estimation for Hypersonic Glide Vehicles Based on Moving Horizon Estimation via Carleman LinearizationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-04-14Full publication date if available
- Authors
-
Yudong Hu, Changsheng Gao, Wuxing JingList of authors in order
- Landing page
-
https://doi.org/10.3390/aerospace9040217Publisher landing page
- PDF URL
-
https://www.mdpi.com/2226-4310/9/4/217/pdf?version=1650007880Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://www.mdpi.com/2226-4310/9/4/217/pdf?version=1650007880Direct OA link when available
- Concepts
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Linearization, Nonlinear system, Control theory (sociology), Estimation theory, Feedback linearization, Computer science, Mathematical optimization, State vector, State (computer science), Nonlinear programming, Hypersonic speed, Mathematics, Algorithm, Engineering, Control (management), Artificial intelligence, Quantum mechanics, Classical mechanics, Physics, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 2, 2022: 2Per-year citation counts (last 5 years)
- References (count)
-
34Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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