Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/44191
標題: Hybrid guidance law for interception of ballistic targets
作者: Lin, C.L.
林俊良
Chen, K.M.
Wu, M.T.
Huang, S.W.
關鍵字: optimal guidance law;missile;performance robustness;neural network
Project: Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering
期刊/報告no:: Proceedings of the Institution of Mechanical Engineers Part G-Journal of Aerospace Engineering, Volume 220, Issue G5, Page(s) 525-536.
摘要: 
This article develops a new integrated missile guidance scheme against ballistic targets based on optimal control theory and neural network technology, in which an optimal midcourse guidance law is analytically derived to reach a near head-on interception engagement. This enables an aerodynamically controlled missile to successfully intercept a very high-speed target. A multi-layer feedforward neural network is incorporated with proportional navigation guidance in the terminal guidance section to adaptively enhance missile agility and to correct acceleration commands in response to rapid changes in aerodynamics and target manoeuvres. The entire defensible volume in three-dimensional space is characterized and the missile performance robustness is verified.
URI: http://hdl.handle.net/11455/44191
ISSN: 0954-4100
DOI: 10.1243/09544100jaero24
Appears in Collections:電機工程學系所

Show full item record
 

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.