Open AccessVisual positioning control of fuze detection manipulator
Author(s) -
An Zhang,
Shaojie Ma,
Libo Ding
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2125/1/012017
Subject(s) - fuze , control theory (sociology) , fuzzy logic , computer science , controller (irrigation) , artificial intelligence , computer vision , fuzzy control system , engineering , position (finance) , control engineering , control (management) , materials science , finance , economics , agronomy , metallurgy , biology
This paper designs a fuze automatic detection manipulator. Aiming at the problem of autonomous alignment and docking between operation manipulator and detection device, a visual positioning control algorithm for autonomous alignment between fuze and detection device based on fuzzy logic is proposed. Taking the relative position and deviation angle of fuze and detection device as control variables, a two-dimensional fuzzy controller is designed. Through the dynamic adjustment of the controller, the optimal motion parameters can be output. Compared with the traditional fuze detection method, the algorithm further improves the efficiency and positioning accuracy of fuze detection.