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Journal of Projectiles, Rockets, Missiles and Guidance >

2014 , Vol. 34 >Issue 6: 17 - 20,24

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2014.06.005

MISSILES AND GUIDANCE TECHNOLOGY

A Method for Compensating Temperature of LG Based on Improved RBF Neural Networks

  • ZHAO Lin ,
  • ZHANG Jian ,
  • CHEN Shuai ,
  • DING Jicheng
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  • College of Automation, Harbin Engineering University, Harbin 150001, China

Received date: 2014-03-17

  Online published: 2025-05-30

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Abstract

To compensate temperature error of laser gyroscope, an improved RBF neural network based on Kohonen neural networks and OLS algorithm was presented. The temperature error can be identified faster and more accurately. The identification and compensation tests have been conducted through the improved RBF neural networks method, the traditional RBF neural networks method and multiple linear regression method. The results show that the compensated bias of laser gyroscope can achieve precision test in the constant temperature and avoid the impact of gyro temperature and temperature change.

Key words： Kohonen neural networks; orthogonal least square (OLS); laser gyro(LG); temperature compensation

Cite this article

ZHAO Lin , ZHANG Jian , CHEN Shuai , DING Jicheng . A Method for Compensating Temperature of LG Based on Improved RBF Neural Networks[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2014 , 34(6) : 17 -20,24 . DOI: 10.15892/j.cnki.djzdxb.2014.06.005

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