Missile Guidance Design using Optimal Trajectory Shaping and Neural Network

Authors:	Jan Horn-Yong, Feng Chia University, Taiwan Lin Chun-Liang, National Chung Hsing University, Taiwan Chen Kai-Ming, National Chung Hsing University, Taiwan Lai Chi-Wen, National Chung Hsing University, Taiwan Hwang Thong-Shing, Feng Chia University, Taiwan
Topic:	7.3 Aerospace
Session:	Unmanned Aerial Vehicles
Keywords:	Optimal guidance law, missile, ballistic target, neural network

Abstract

Preliminary studies have shown that the aspect angle of the interceptor at lock-on near 180 degree is a fundamental requirement for an aerodynamically controlled missile achieving small miss distance against a faster target. An optimal midcourse guidance law based on the optimal trajectory shaping is developed to meet this prerequisite. Neural networks are incorporated with the PN guidance at the terminal phase to improve the tracking accuracy. The whole defensible volume in the 3-dimesional space is characterized and the performance robustness is also verified.