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Journal of Projectiles, Rockets, Missiles and Guidance >

2014 , Vol. 34 >Issue 3: 21 - 24

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2014.03.051

MISSILES AND GUIDANCE TECHNOLOGY

Parameter Optimization Algorithm of H∞ Filter in SINS Moving-base Alignment

  • ZHOU Benchuan ,
  • LU Hao ,
  • XU Jianyun
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  • 1 China Airborne Missile Academy, Henan Luoyang 471009, China
    2 Aviation Key Laboratory of Science and Technology on Airborne Guided Weapons, Henan Luoyang 471009, China

Received date: 2013-06-25

  Online published: 2025-05-30

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Abstract

As for SINS moving-base alignment, H∞ filtering algorithm has better anti-disturbance capability than Kalman filtering algorithm. In order to optimize H∞ filtering parameters, the robust mechanism of H∞ filter was firstly deduced, and the effect of H∞ initial filtering parameters on convergence rate and estimation stability was analyzed systematically. Then the multiple model estimation theory (MME) was applied to further optimize H∞ filtering parameters. The simulations have been conducted, and the results illustrate that the parameter optimization algorithm is effective in H∞ filtering estimation for SINS moving-base alignment.

Key words： moving-base alignment; H∞ filtering; parameter optimization; multiple-model estimation

Cite this article

ZHOU Benchuan , LU Hao , XU Jianyun . Parameter Optimization Algorithm of H∞ Filter in SINS Moving-base Alignment[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2014 , 34(3) : 21 -24 . DOI: 10.15892/j.cnki.djzdxb.2014.03.051

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