Design of Dual Loop Networked Control Systems with Different Sampling Rate Based on Gain Adaptive Smith Predictor

被引：0
|
作者：
Zhao, Hong [1 ]
Che, Ke [1 ]
机构：
[1] Guilin Univ Technol, Coll Mech & Control Engn, Guilin 541004, Peoples R China
来源：
ISBDAI '18: PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON BIG DATA AND ARTIFICIAL INTELLIGENCE | 2018年
关键词：
Different sampling rate; Dual loop networked control systems; Smith predictor; Gain adaptive;
D O I：
10.1145/3305275.3305333
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A class of dual loop networked control systems with different sampling rate is discussed in this paper. Generally, Smith predictor can be used to overcome the influence of network delay. However, influence of prediction model inaccuracy, different sampling rate and interference always appear in the actual systems, and the systems based on conventional Smith predictor cannot achieve the desired control effect. The gain adaptive Smith predictor is proposed for this class of networked control systems, which can be used to overcome the problems caused by inaccurate prediction model, interference and various sampling rate. The simulation results based on MATLAB show that the proposed method is efficient and feasible.
引用
收藏
页码：290 / 293
页数：4
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