Research on Drilling Control Method of Ammunition Shell Based on Fuzzy Algorithm

Ronghua Liu, Feng Pan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Aiming at the technical requirements of high precision, unmanned and flexible drilling on the curved surface of large-size ammunition shells, a gantry-type curved surface automatic drilling system is designed based on fuzzy algorithm. The system selects the feed displacement of the drilling spindle and the rotation speed of the drilling rotary motor as the drilling characteristic quantities, and establishes the drilling depth fuzzy alarm model through the steps of fuzzy processing, establishment of fuzzy reasoning and calculation of the fuzzy alarm query table. The hardware composition and software design scheme of the drilling system are introduced. It has been proved that this method can realize the precise control of the drilling depth of the surface of the large-size ammunition shell, and the control accuracy is 0.2mm, which can meet the actual production needs.

Original languageEnglish
Title of host publicationProceedings of the 41st Chinese Control Conference, CCC 2022
EditorsZhijun Li, Jian Sun
PublisherIEEE Computer Society
Pages2445-2450
Number of pages6
ISBN (Electronic)9789887581536
DOIs
Publication statusPublished - 2022
Event41st Chinese Control Conference, CCC 2022 - Hefei, China
Duration: 25 Jul 202227 Jul 2022

Publication series

NameChinese Control Conference, CCC
Volume2022-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference41st Chinese Control Conference, CCC 2022
Country/TerritoryChina
CityHefei
Period25/07/2227/07/22

Keywords

  • Fuzzy Algorithm
  • control system
  • curved surface drilling
  • depth control

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Cite this

Liu, R., & Pan, F. (2022). Research on Drilling Control Method of Ammunition Shell Based on Fuzzy Algorithm. In Z. Li, & J. Sun (Eds.), Proceedings of the 41st Chinese Control Conference, CCC 2022 (pp. 2445-2450). (Chinese Control Conference, CCC; Vol. 2022-July). IEEE Computer Society. https://doi.org/10.23919/CCC55666.2022.9901828