期刊文献+

薄膜张力控制系统的建模与设计 被引量:18

Modeling and Design of a Film Tension Control System
在线阅读 下载PDF
导出
摘要 鉴于薄膜收换卷时的张力大小及平稳性对收卷质量具有决定性的影响,针对流涎机收卷系统的动态过程,分析了张力与收卷线速度、卷径及转速之间的动力学关系,提出了张力控制原理,并分析了薄膜在收换卷时收卷电机转速的变化补偿规律。在此基础上,设计了薄膜在收换卷时的张力控制系统,通过控制速度差对张力进行间接控制,同时采用BP神经网络PID控制器调节收卷转速对张力进行直接补偿。仿真对比结果表明,该控制器动态响应好,抗干扰能力强。实际应用实例也证明该控制方法张力控制精度高,控制高效可靠,对改善系统的动态特性和提高薄膜的收卷质量有着重要意义。 When film was winding,the tension and the stability had a decisive impact on the winding quality.According to the dynamic process of the winding system of a casting machine,the dynamic relationships among tension and speed,radius,rotate speed were analyzed,the principles of tension control were proposed,and the compensation law of the rotaty speed was calculated when the radius was increasing and the winding roller was shifting.Based on the models,a tension control system was designed.The tension was controlled indirectly by controlling the difference of speed,and was controlled directly by using BP neural network PID controller to adjust the motor speed. Simulation results show that the controller has a good dynamic response and the anti-jamming ability.In practice,it also proves that the control system is feasible.It has a high precision of tension control and has great significance to improve the dynamic performance of the system and the winding quality of the film.
出处 《中国机械工程》 EI CAS CSCD 北大核心 2013年第18期2452-2457,共6页 China Mechanical Engineering
基金 国家科技重大专项(2010ZX04004-122)
关键词 收卷系统 张力控制 建模 BP神经网络PID 仿真 winding system tension control modeling BP neural network PID simulation
  • 相关文献

参考文献8

  • 1Imamura T,Kuroiwa T, Terashima K,et al. Designand Tension Control of Filament Winding System[C]//Proceedings of the IEEE International Confer-ence on Systems, Man and Cybernetics. New York:IEEE:1999:660-665.
  • 2Knittel D, Laroche E, Gigan D, et al. Tension Con-trol for Winding Systems with Two-degrees —of—freedom Hco Controllers[J]. IEEE Transactions onIndustry Applications(S0093 — 9994),2003,39(1):20-113.
  • 3Kang Chul — goo,Lee Bongju. Mimo Tension Mod-eling and Control for Roll — to — Roll ConvertingMachines[C]//Proceedings of the 17th World Con-gress, International Federation of Automatic Con-trol. Korea,2008:11877-11882.
  • 4张晓宇,许丽丽,仪垂杰.前馈神经网络在有源噪声控制中的应用及分析[J].机械设计,2008,25(7):58-59. 被引量:2
  • 5张承慧,石庆升,程金.一种多电机同步传动模糊神经网络控制器的设计[J].控制与决策,2007,22(1):30-34. 被引量:38
  • 6Jia Mengyin,Ji Sunshin,Lee H H. On—line TuningPID Parameters in an Idling Engine Based on aModified BP Neural Network by Particle SwarmOptimization[J]. Artificial Life and Robotics,2009,14(2):129-133.
  • 7Xu Xiaoyong, Sun Yu, Fan Hongmei. Control Sys-tem of the Film Casting Based on the FieldbusCC]//Proceedings of the 2010 IEEE,InternationalConference on Mechatronics and Automation. NewYork:IEEE,2010 :1320-1324.
  • 8胥小勇,孙宇,蒋清海.改进型相邻耦合结构的多电机比例同步控制[J].仪器仪表学报,2012,33(6):1254-1260. 被引量:34

二级参考文献24

  • 1尹雪飞,陈克安,相敬林.自适应有源控制器的算法及实现[J].噪声与振动控制,2004,24(3):15-17. 被引量:6
  • 2成玲,何勇.印染机械多电机同步控制系统[J].纺织学报,2005,26(1):97-99. 被引量:14
  • 3陈克安,王进军,尹雪飞.次级通路特性及对有源控制算法的影响[J].振动工程学报,2005,18(4):480-485. 被引量:7
  • 4汉森CH 斯奈德SD.噪声和振动的主动控制[M].北京:科学出版社,2002..
  • 5Turl G,Summer M.A multi-induction-motor drive strategy operating in the sensorless mode[C].36th IAS Annual Meeting.Chicago,2001,1:1232-1239.
  • 6Chen C S,Shieh Y S.Cross-coupled control design of bi-axis feed drive servomechanism based on multitasking real time kernel[C].Proc of the 2004 IEEE Int Conf on Control Applications.Taipei,2004:57-62.
  • 7Shih Y T,Chen C S,Lee A C.A novel cross-coupling control design for bi-axis motion[J].Int J of Machine Tool and Manufacture,2002,42(1):1539-1548.
  • 8TOMIZUKA M, HU J S, CHIU T C. Synchronization of two motion control axes under adaptive feedforward control [ J ]. ASME Journal of Dynamic System, Measurement and Control, 1992,114 (2) : 196-203.
  • 9BARAMBONES O, ALKORTA P. Vector control of for induction motor drives based on Adaptive variable struc- ture control algorithm [ J ]. Asian Journal of Control, 2010,12 ( 5 ) : 640 -649.
  • 10XU X Y, SUN Y, FAN H M. Control system of the film casting based on the fieldbus [ C ]. Proceedings of the 2010 IEEE, International Conference on Mechatronics and Automation, 2010 : 1320-1324.

共引文献70

同被引文献130

引证文献18

二级引证文献32

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部