徐州工程学院学报（自然科学版）2025，Vol.40Issue(3)：73-79,7.
基于模糊PID的电子元器件自动分拣设计
Design of Fuzzy PID-Based Automatic Sorting for Electronic Components
摘要
Abstract
To address the issues of low efficiency and poor stability in the automatic sorting of electronic components,this study proposes a hybrid method for an automatic sorting equipment for electronic components based on fuzzy logic control.This method also employs genetic algorithms to enhance the fuzzy logic control and utilizes the classic Harris corner detection algorithm for visual color capture.Experimental results demonstrate that the genetic algorithm-optimized fuzzy logic control model maintains an automatic control frequency deviation fluctuating between-0.005 and 0.005 Hz within 7～11 min.The accuracy rates of the proposed hybrid method and three other hybrid methods,namely,improved particle swarm algorithm,tunicate swarm algorithm and dung beetle algorithm,are 98.45%,91.63%,88.45%,and 89.12%,respectively.In conclusion,the proposed hybrid method for the automatic sorting equipment can effectively control fuzzy parameters and exhibits high sorting efficiency.关键词
遗传算法/模糊PID/电子元器件/自动分拣/Harris角点检测算法Key words
genetic algorithm/fuzzy PID/electronic components/automatic sorting/Harris corner detection algorithm分类
信息技术与安全科学引用本文复制引用
黄皖..基于模糊PID的电子元器件自动分拣设计[J].徐州工程学院学报（自然科学版）,2025,40(3):73-79,7.基金项目
安徽省高校科学研究重点项目(2022AH052289 （）
2023AH053047) （）
