首页 | 官方网站   微博 | 高级检索  
     

基于模糊神经元网络的阀控马达系统仿真
引用本文:刘延俊,于刚,赵敬伟.基于模糊神经元网络的阀控马达系统仿真[J].山东大学学报(工学版),2006,36(4):96-99.
作者姓名:刘延俊  于刚  赵敬伟
作者单位:1. 山东大学,机械工程学院,山东,济南,250061
2. 济南神戎电子有限公司,山东,济南,250101
基金项目:面向21世纪教育振兴行动计划(985计划)
摘    要:提出了一种基于模糊神经元网络的阀控马达控制方案.在系统中,将模糊控制技术与神经元网络技术相结合,构建了模糊神经元网络控制器.该控制器结合模糊控制与神经元网络各自的优点,既具有模糊控制器简单和有效的非线性控制作用,又具有神经元网络自学习和自适应能力,改善了控制系统的性能.

关 键 词:关键词:阀控马达  模糊神经元网络控制  仿真
文章编号:1672-3961(2006)04-0096-04
收稿时间:2005-09-30
修稿时间:2005年9月30日

Simulation of valve-controlled motor system based on fuzzy neural network control
LIU Yan-jun,YU Gang,ZHAO Jing-wei.Simulation of valve-controlled motor system based on fuzzy neural network control[J].Journal of Shandong University of Technology,2006,36(4):96-99.
Authors:LIU Yan-jun  YU Gang  ZHAO Jing-wei
Affiliation:1.School of Mechanical Engineering,Shandong University,Jinan 250061,China;2. Jinan Shenrong Optics & Electronics Company, Limited,Jinan 250101,China
Abstract:A new control scheme based on fuzzy neural network(FNN) for valve-controlled motor was presented.By using the control strategies of fuzzy logic and neural networks,a new control algorithm was designed to solve the control problems.The FNN controller combined fuzzy control with neural network technique.It possessed not only the simplicity and the nonlinear control ability of fuzzy control but also the learning and adaptive functions by using neural network,therefore the adaptability and performances of valve-controlled motor system was improved.
Keywords:valve-controlled motor  fuzzy neural network control  simulation  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《山东大学学报(工学版)》浏览原始摘要信息
点击此处可从《山东大学学报(工学版)》下载全文
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-23

京公网安备 11010802026262号