摘要
为解决基于机器视觉的茶鲜叶分级输送速度控制精度低的问题,本文设计一种引入自适应权重与Circle混沌映射的PSO优化模糊PID控制器(AW-CPSO-Fuzzy-PID),并开展基于改进模糊PID的茶鲜叶分级输送速度控制。在茶鲜叶输送传动系统作业过程中,当设定输送速度为78.5 mm/s时,每1 ms记录一次,输送速度波动可控制在0.7 mm/s内;改进模糊PID茶鲜叶输送传动系统响应时间比传统PID与模糊PID分别减少81.41%、61.74%;超调量分别降低81.24%、41.82%;采集目标图像平均峰值信噪比分别提高5.8、10.4 dB。结果表明,本文提出的方法具有更好的寻优性能和收敛速度。研究结果为基于机器视觉的茶鲜叶自动分级系统精确而稳定的控制奠定了理论基础,为解决由输送速度波动导致的图像模糊问题提供了技术方案。
Aiming at the problem of low grading precision of traditional automatic grading machine of distinguished and high-quality fresh tea leaves,sorting fresh tea leaves by machine vision is an effective way to improve the quality of tea grading.And a PSO-Fuzzy-PID controller introducing adaptive weights and Circle chaotic mapping was designed;the research on the control and test of conveying speed of fresh tea leaves based on improved Fuzzy-PID was carried out to address the problem of large fluctuations in the conveying speed of fresh tea leaves leading to the image blur.The results showed that the thesis algorithm had better optimization performance and convergence speed;during the operation of the conveying transmitting system of fresh tea leaves,when the conveying speed was set at 78.5 mm/s,its speed was recorded every 1 ms,the transmission speed fluctuation was controlled at 0.7 mm/s;the transmission system response time of the improved Fuzzy-PID was reduced by 81.41%and 61.74%compared with that of the traditional PID and Fuzzy-PID,respectively;the overtone was reduced by 81.24%and 41.82%.The core contribution was to significantly improve the stability of the transport speed of fresh tea leaves,thus effectively reducing the degree of image blur caused by speed fluctuations and making the acquired images closer to the clear state.Therefore,the research result not only ensured that the automatic bud and leaf classification system based on machine vision can be accurately and stably controlled,but also provided a practical technical solution to solve the scientific problem of image blurring caused by the fluctuation of conveying speed.
作者
胡永光
靳筱天
张志
鹿永宗
潘庆民
HU Yongguang;JIN Xiaotian;ZHANG Zhi;LU Yongzong;PAN Qingmin(School of Agricultural Engineering,Jiangsu University,Zhenjiang 212013,China;Key Laboratory of Modern Agricultural Equipment and Technology,Ministry of Education,Zhenjiang 212013,China)
出处
《农业机械学报》
北大核心
2025年第4期275-283,共9页
Transactions of the Chinese Society for Agricultural Machinery
基金
江苏省高校优势学科建设项目(PAPD-2018047)。
作者简介
胡永光(1976-),男,教授,博士生导师,主要从事茶果园生产技术与装备研究,E-mail:deerhu@163.com。
