[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]

Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 3: 11 - 14

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.03.003

Research on Sensor Online Fault Diagnosis for Air-to-air Missile Based on Neural Network

  • LI Wei 1 ,
  • HUA Wenhua 1 ,
  • ZHANG Jinpeng 1, 2
Expand
  • 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: 2020-04-10

  Online published: 2025-02-20

Fold

Abstract

In order to prevent sensor fault impact air-to-air missile flight mission accomplished, aiming at the parameter uncertainty for nonlinear aerodynamic model of air-to-air missile, a method for sensor online fault diagnosis based on BP neural network is proposed. A fault diagnosis for the acceleration sensor of air-to-air missile is constructed, which applies to the digital simulation, and analyzed the common fault of acceleration sensor online. The simulation results show that, the fault is effectively diagnosed and the sensor output is accurately estimated by the fault diagnosis, which has practical value.

Key words： neural network; online fault diagnosis; sensor; air-to-air missile

Cite this article

LI Wei , HUA Wenhua , ZHANG Jinpeng . Research on Sensor Online Fault Diagnosis for Air-to-air Missile Based on Neural Network[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(3) : 11 -14 . DOI: 10.15892/j.cnki.djzdxb.2021.03.003

[an error occurred while processing this directive]

References

Publishing order | Descend order by publishing year | Descend order by cited within
[1]
MOSALLAEI M, SALAHSHOOR K. Sensor fault detection using adaptive modified extended Kalman filter based on data fusion technique[C]//IEEE. Proceedings of the 4th International Conference on Information and Automation for Sustainability. New York: IEEE, 2008: 513-518.

[2]
YU Y, LI W, SHENG D R, et al. A novel sensor fault diagnosis method based on modified ensemble empirical mode decomposition and probabilistic neural network[J]. Measurement, 2015, 68: 328-336.

[3]
SILVA J C D, SAXENA A, BALABAN E, et al. A knowledge-based system approach for sensor fault modeling, detection and mitigation[J]. Expert Systems with Applications, 2012, 39(12): 10977-10989.

[4]
高志峰, 韩冰, 钱默抒, 等. 考虑传感器故障的柔性航天器自适应积分滑模主动容错控制[J]. 南京信息工程大学学报(自然科学版), 2018, 10(2):146-152.

[5]
魏慕恒, 贾秋玲. 飞控系统传感器故障诊断的神经网络方法研究[J]. 计算机测量与控制, 2010, 18(1):14-16.

Options
Outlines

/

〈 〉

[an error occurred while processing this directive]