首页 | 本学科首页   官方微博 | 高级检索  
     检索      

自适应神经PID在软胶囊生产过程温控系统中的应用
引用本文:谭梅,周琴,陈瑞诺.自适应神经PID在软胶囊生产过程温控系统中的应用[J].湖南工程学院学报(自然科学版),2005,15(4):20-22.
作者姓名:谭梅  周琴  陈瑞诺
作者单位:湖南工程学院,电气与信息工程系,湖南,湘潭,411101;上海电机学院,电气工程系,上海,200240;韶关冶炼厂,广东,韶关,512000
摘    要:以软胶囊生产过程温度控制系统为研究对象,提出了一种基于BP神经网络整定的PID控制方法,并给出了系统设计及软件开发.由于神经网格所具有的任意非线性表达能力,可以通过对系统性能的学习来实现具有最佳组合的PID控制.实验结果表明,用该方法整定的PID控制系统,逼近精度高,鲁棒性好.

关 键 词:软胶囊生产过程  温度控制  BP神经网络  PID控制
文章编号:1671-119X(2005)04-0020-03
收稿时间:06 14 2005 12:00AM
修稿时间:2005年6月14日

Application of Self- adaption Neural PID to Temperature Control System in Production Process of Soft Capsules
TAN Mei,ZHOU Qin,CHEN Rui-nuo.Application of Self- adaption Neural PID to Temperature Control System in Production Process of Soft Capsules[J].Journal of Hunan Institute of Engineering(Natural Science Edition),2005,15(4):20-22.
Authors:TAN Mei  ZHOU Qin  CHEN Rui-nuo
Institution:1. Dept. of Elect. and Information Eng., Hunan Institute of Engineering, Xiangtan 411101, China; 2. Department of Electrical Engieering, Shanghai Dianji University, Shanghai 200240, China; 3. Shaoguan Smelt Plant, Shaoguan 512000, China
Abstract:Taking the temperature controlling system in production process of soft capsules as the object of study,the PID controlling method based on BP neural network is put forward,and the system design and software development is also presented.With the arbitrary nonlinear expressiveness,the neural network can help to realize the PID control with the best combinations by understanding the system performance.The network has high precision and good robustness.The results show that the method is feasible and effective.
Keywords:production process of soft capsules  temperature control  BP neural network  PID control
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号