期刊文献+

伺服系统的离散时间双口内模控制器设计 被引量:2

Design of Discrete Time Two-Port Internal Model Controller in Servo System
下载PDF
导出
摘要 随着数字计算机在控制中的广泛应用,直接在离散时间内设计数字化控制器具有现实意义。在陈庆伟学者提出的连续时间双口内模控制的基础上,提出了一种针对伺服系统的离散时间双口内模控制器设计方法。其基本原理是在基本的内模控制结构上增加一个控制器,从而获得更高的系统性能。并对系统的鲁棒性能、跟踪性能和抗干扰性能进行了理论分析。仿真结果表明,当模型参数存在较大误差时,系统性能优于PID控制,且具有高阶无静差特性。 Along with wide application of digital computer in control system, digital controller design directly in discrete-time has important meaning. Design method of a kind of discrete time two-port internal model controller (IMC) of servo system was proposed based on continuous-time two-port internal model control. Its basic principle is to add another controller in original IMC structure to obtain better system performance. Robust stability, tracking and anti-jamming performances are analyzed theoretically. Simu- lation result showed that system performances are better than that of PID control when model parameters have greater errors, and the system also has the properties of no static difference with high order.
出处 《火炮发射与控制学报》 北大核心 2007年第1期31-34,共4页 Journal of Gun Launch & Control
关键词 自动控制技术 离散时间内模控制 双口控制 伺服系统 automatic control technology discrete time internal model control two-port control servo system
  • 相关文献

参考文献2

二级参考文献80

  • 1陈明俊,巫亚强,江启达.ITAE最优Ⅲ型数字伺服系统[J].自动化学报,1993,19(2):177-183. 被引量:14
  • 2袁德成,韩阳,王贵成,李健.非线性辅助内模控制(NAIMC)系统研究[J].信息与控制,1995,24(4):230-236. 被引量:2
  • 3AOYAMA A,DOYLE Ⅲ F J.A fuzzy neural-network approach for nonlinear process control [J].Engineering Applications of Artificial Intelligence,1995,8(5):483-498.
  • 4POTTMANN M,JORGL H P.Radial basis function networks for intemal model control [J].Applied Mathematics and Computation,1995,70(2/3):283-298.
  • 5KAMBHAMPATI C,CRADDOCK R J,THAM M,et al.Inverse model control using recurrent networks [J].Mathematics and Computers in Simulation,2000,51(3/4):181-199.
  • 6RIVALS I,PERSONNAZ L.Nonlinear internal model control using neural networks:application to processes with delay and design issues[J].IEEE Trans on Neural Networks,2000,11 ( 1 ):80-90.
  • 7MENKEN G J.Modularly structured B-spline networks for internal model control [C]//Proc of American Control Conference.Albuquerque:ACCC,1997:2001-2005.
  • 8FACHE A,DUBOIS O,BILLAT A.On the invertibility of the RBF model in a predictive control stategy [C]//European Symposium on Artificial Neural Networks.Bruges:IEEE Press,1999:381-386.
  • 9NEYER M D,GOREZ R.Fuzzy and quantitative model-based control systems for robotics manipulators [J].Int J of Systems Science,1993,24(10):1863-1883.
  • 10BAVELAAR I M,BARANYI P,BABUSKA R.A method to invert a linguistic fuzzy model [J].Int J of Systems Science,1998,29(7):829-839.

共引文献71

同被引文献14

引证文献2

二级引证文献8

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