Real-time missile midcourse guidance = 미사일 중기유도법칙의 실시간 구현에 관한 연구

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An on-line suboptimal midcourse guidance law, which is a neural-network approximation of the optimal feedback strategy, is proposed to eliminate the need for solving two-point boundary-value problems in real time. For intercept point prediction, a fast conversing, iterative algorithm based on a neural- network time-to-go estimator is devised. Also. the γ-correction guidance law and the $\dot{σ}$-feedback guidance law are devised to improve the neural-network guidance to be robust against missile launch conditions. Then the neural-network guidance is extended for interception of ballistic targets in the three-dimensional space. The fact that the optimal trajectory in the three-dimensional space does not deviate much from a vertical plane justifies the use of the two-dimensional neural-network method. Computer simulation confirms that the closed-loop behavior of the proposed guidance law is so close to the optimal trajectory that it outperforms nonoptimal guidance laws such as -biased proportional navigation.
Tahk, Min-Jearesearcher탁민제researcher
Description
한국과학기술원 : 항공우주공학전공,
Publisher
한국과학기술원
Issue Date
2000
Identifier
158038/325007 / 000975180
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 항공우주공학전공, 2000.2, [ 93 p. ]

Keywords

Suboptimal feedback guidance; Midcourse guidance; Neural networks; 신경회로망; 근최적 폐회로 유도; 중기유도

URI
http://hdl.handle.net/10203/26261