Journal of Projectiles, Rockets, Missiles and Guidance >
A Projectile Flight Control Method Based on Neural Network
Received date: 2013-08-06
Online published: 2025-05-30
To correct projectile trajectory timely and efficiently in flight process, a correction method based on impact point prediction was proposed. Firstly, the impact-points were predicted based on Elman neural network and the prediction date were filtered. According to the bias between prediction impact point and theoretical impact point, correction was carried out by pulse jet engine, and the flight control method of CMAC was introduced. Then the correction simulation was made, the impact point spread was deceased obviously, which means, this method proposed in this paper is efficiently.
Key words： neural network; impact-point prediction; Kalman filter; CMAC; flight control
LI Zhipeng , ZHAO Handong , WANG Wei , LI Qiang , DU Shuping . A Projectile Flight Control Method Based on Neural Network[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2014 , 34(4) : 37 -40 . DOI: 10.15892/j.cnki.djzdxb.2014.04.023
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