Journal of Projectiles, Rockets, Missiles and Guidance >
Supervised Neural Network Control of Rocket Launcher Servo System
Received date: 2012-01-10
Online published: 2025-05-29
For existence of both disturbance of gas-fired impact and variation of parameters of rocket launcher, traditional PID controller may not meet high precision request, a novel supervised radial basis function neural network (RBF NN) controller based on PID control was designed. Off-line sample of NN was chosen and improvement of arithmetic was proposed. Adaptation of system was enhanced by abilities of self-learning and self-tuning of NN. Simulation shows this control strategy can improve the performance of rocket launcher servo system.
Key words： rocket launcher; RBF NN; supervised control; off-line train
MENG Qing'ai , ZHANG Long , SUN De , ZHANG Xiuwei . Supervised Neural Network Control of Rocket Launcher Servo System[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2012 , 32(5) : 179 -182 . DOI: 10.15892/j.cnki.djzdxb.2012.05.055
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