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Journal of Projectiles, Rockets, Missiles and Guidance >

2021 , Vol. 41 >Issue 4: 24 - 30

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2021.04.006

Fuzzy Dynamic Surface Control of a Broken Weapon Based on Nearest Neighbor Clustering Algorithm

  • SHA Yezhen 1 ,
  • YU Shihang 2 ,
  • CHEN Jilin 1
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  • 1 School of Mechanical Engineer,Nanjing University of Science and Technology,Nanjing 210094, China
  • 2 Hubei Jiangshan Heavy Industry Co., Ltd., Wuhan 430000, China

Received date: 2020-05-28

  Online published: 2025-02-13

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Abstract

In order to solve the nonlinear problem caused by internal leakage, friction and external load change of the hydraulic servo system of a barrier breaking weapon launcher, the fuzzy logic system is used to approximate unknown nonlinear function in the electro-hydraulic servo system, using the nearest neighbor clustering algorithms (NNCA) to classify the initial parameters to reduce the number of fuzzy rules. At the same time, an adaptive controller based on dynamic surface control method is designed to solve the problem of poor control accuracy caused by fuzzy control. Simulation results show that this method can effectively improve the anti-interference ability of the system, the precision of breaking the barrier and the speed of adjusting gun.

Key words： broken weapon; dynamic surface control; fuzzy control; nearest neighbor clustering

Cite this article

SHA Yezhen , YU Shihang , CHEN Jilin . Fuzzy Dynamic Surface Control of a Broken Weapon Based on Nearest Neighbor Clustering Algorithm[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2021 , 41(4) : 24 -30 . DOI: 10.15892/j.cnki.djzdxb.2021.04.006

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