应用科学学报 ›› 2013, Vol. 31 ›› Issue (3): 303-308.doi: 10.3969/j.issn.0255-8297.2013.03.013

• 控制与系统 • 上一篇    下一篇

网络控制系统的自适应预测控制

田中大, 高宪文, 李琨   

  1. 东北大学信息科学与工程学院,沈阳110819
  • 收稿日期:2012-09-21 修回日期:2012-11-15 出版日期:2013-05-28 发布日期:2012-11-15
  • 作者简介:田中大,博士生,研究方向:网络控制系统,E-mail: tianzhongda@126.com;高宪文,教授,博导,研究方向:复杂工业过程建模与智能优化控制,E-mail: gaoxianwen@ise.edu.cn
  • 基金资助:

    国家自然科学基金(No.61034005)资助

Adaptive Predictive Control of Networked Control System

TIAN Zhong-da, GAO Xian-wen, LI Kun   

  1. School of Information Science and Engineering, Northeastern University, Shenyang 110819, China
  • Received:2012-09-21 Revised:2012-11-15 Online:2013-05-28 Published:2012-11-15

摘要: 针对具有随机时延的网络控制系统,提出一种自适应预测控制方法. 利用Elman神经网络对网络控制系统的随机时延进行在线预测,然后采用一种增加微分作用的改进隐式广义预测控制方法对网络时延进行补偿,实现了随机时延网络控制系统的自适应预测控制. 仿真结果表明,该方法对网络随机时延有很好的补偿效果,可明显改善系统输出性能,保证控制的稳定性与快速性.

关键词: 随机时延, 网络控制系统, 时延预测, Elman神经网络, 隐式广义预测控制

Abstract: This paper proposes an adaptive predictive control method for networked control systems with random time-delay. By using the Elman neural network, online prediction of the random time-delay of network is realized. Compensation of time-delay is done using an improved implicit generalized predictive control
algorithm with derivative functions. Finally, adaptive predictive control for the networked control system with random time-delay is achieved. Simulation results show that the method has a good compensation effect. It can improve the system output performance and ensure stability and rapidity.

Key words: random time-delay, time-delay prediction, Elman neural network, implicit generalized predictive control, networked control system

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