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Journal of Projectiles, Rockets, Missiles and Guidance >

2015 , Vol. 35 >Issue 1: 1 - 4

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.01.001

MISSILES AND GUIDANCE TECHNOLOGY

Design of Integrated Guidance and Control Based on Wavelet Neural Network Backsteppting Method

  • MA Chen ,
  • ZHAO Guorong ,
  • FENG Songqi
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  • Naval Aeronautical and Astronautical University, Shandong Yantai 264001, China

Received date: 2014-02-28

  Online published: 2025-05-26

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Abstract

A wavelet neural networks backsteppting method (WNNBM) was designed for integrated guidance and control. First, the integrative control model of missile was built and simplified, the target kinematics characteristics and missile dynamics model of the system were combined, and guidance law and controller were put together. Controller was designed for integrative model by using backstepping method (BSM), in view of high degree of model simplification and uncertainty of unmodeled dynamics, wavelet neural networks (WNN) in backstepping method was used. Finally, trajectory simulations were carried out and simulation results show the method can hit the target effectively and improve maneuverability and efficiency of missile.

Key words： integrated guidance and control; backstepping control; neural network; trajectory simulation

Cite this article

MA Chen , ZHAO Guorong , FENG Songqi . Design of Integrated Guidance and Control Based on Wavelet Neural Network Backsteppting Method[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2015 , 35(1) : 1 -4 . DOI: 10.15892/j.cnki.djzdxb.2015.01.001

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