Time-delay compensation method for networked control system based on time-delay prediction and implicit PIGPC

被引:26
|
作者
Tian Z.-D. [1 ]
Gao X.-W. [2 ]
Gong B.-L. [2 ]
Shi T. [3 ]
机构
[1] School of Information Science and Engineering, Shenyang University of Technology, Shenyang
[2] School of Information Science and Engineering, Northeastern University, Shenyang
[3] Department of Humanities, Liaoning Forestry Vocation-Technical College, Shenyang
基金
中国国家自然科学基金;
关键词
implicit proportional-integral-based generalized predictive controller (PIGPC); least squares support vector machine (LSSVM); Networked control system; particle swarm optimization (PSO); time-delay compensation;
D O I
10.1007/s11633-015-0897-7
中图分类号
学科分类号
摘要
A network time-delay compensation method based on time-delay prediction and implicit proportional-integral-based generalized predictive controller (PIGPC) is proposed. The least squares support vector machine (LSSVM) is used to predict the current time-delay, the parameters of the least squares support vector machine are optimized by particle swarm optimization (PSO) algorithm, and the predicted time-delay is used instead of the actual time-delay as the parameters of the network time-delay compensation controller. In order to improve the compensation effect of implicit generalized predictive controller (GPC), this paper puts forward an implicit generalized predictive control algorithm with proportional-integral-based (PI) structure and designs the controller based on implicit PIGPC. Through the simulation results, the effectiveness of this design in the paper is verified. © 2015, Institute of Automation, Chinese Academy of Sciences and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码:648 / 656
页数:8
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