Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A novel approach to reachability analysis of aerodynamic interceptors
Download
index.pdf
Date
2023-9
Author
Bayoğlu Akalın, Tuğba
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
70
views
30
downloads
Cite This
An algorithm for reachability analysis has been developed to address the evolving challenges faced by air defense systems due to the increasing diversity of potential threats. The expansion of target sets that pose threats necessitates the development of enhanced defense mechanisms to effectively counter numerous targets, some of which are challenging to detect and track. To address these challenges, the coordinated use of interceptor kinematic capabilities to create a defended airspace shows promise. To implement this strategy effectively, accurate forecasting of interceptor kinematic capabilities, referred to as reachable sets, is crucial. This study presents a novel reachability analysis algorithm with a specific focus on aerodynamic interceptors. The algorithm employs a directional search technique to determine reachable set boundaries along predefined search directions under various flight conditions and durations, while accounting for input constraints. Key factors considered include energy dissipation during maneuvers, energy augmentation from thrust profiles, variable acceleration limits due to dynamic flight conditions, and autopilot dynamics. Leveraging Model Predictive Static Programming, the algorithm offers input-constrained suboptimal midcourse guidance law. This law assesses reachability, generates energy efficient trajectories, and addresses physical limits. The resulting boundaries represent achievable minimum and maximum ranges under different conditions, aiding interceptor capability estimation. Furthermore, the research conducts a comparative analysis, highlighting the significance of input constraints in control system design. Comparing reachable sets with and without input constraints provides insights into system behavior, emphasizing the role of input constraints in guidance algorithm design.
Subject Keywords
Reachable Set Computation
,
Reachability Analyses
,
Model Predictive Control
,
Optimal Control
URI
https://hdl.handle.net/11511/105419
Collections
Graduate School of Natural and Applied Sciences, Thesis
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. Bayoğlu Akalın, “A novel approach to reachability analysis of aerodynamic interceptors,” Ph.D. - Doctoral Program, Middle East Technical University, 2023.