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Journal of Projectiles, Rockets, Missiles and Guidance >

2015 , Vol. 35 >Issue 3: 19 - 22

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2015.03.006

MISSILES AND GUIDANCE TECHNOLOGY

Adaptive Sliding Mode Guidance Law Based on RBFNN Gain Regulation

  • LI Jie ,
  • LEI Humin ,
  • WANG Huaji ,
  • ZHU Subei
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  • Air and Missile Defense College, Air Force Engineering University, Xi'an 710051, China

Received date: 2014-05-13

  Online published: 2025-05-26

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Abstract

To improve accuracy of guidance system in terminal guidance phase, a RBF sliding mode guidance law was designed. A sliding mode guidance law based on zeroing line of sight rate was deduced with the theory of sliding mode variable structure control. With analysis of relationship between target maneuvering and switch gain, RBF neural networks were used for switch gain online regulation. Finally, compared with sliding mode guidance law and proportional navigation, the simulation results show that the RBF sliding mode guidance law has stronger robustness for target maneuvering and reduces target-missing effectively.

Key words： sliding mode guidance; RBF neural networks; switch gain

Cite this article

LI Jie , LEI Humin , WANG Huaji , ZHU Subei . Adaptive Sliding Mode Guidance Law Based on RBFNN Gain Regulation[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2015 , 35(3) : 19 -22 . DOI: 10.15892/j.cnki.djzdxb.2015.03.006

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