Prediction and compensation of random delay in NCS via improved Smith predictor based on normalized weighted average method

Author

Ding Shiyun ; Chen Qinglin

Author_Institution

Dept. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China

fYear

2014

fDate

28-30 July 2014

Firstpage

5885

Lastpage

5889

Abstract

This paper is mainly dealt with the control problem of random delay. Firstly, the model of NCS is established, and then the asymptotically stable condition with the Lyapunov stability theory is derived. In addition, the Smith prediction compensation strategy is improved, and the new Smith prediction compensation strategy is proposed based on the normalized weighted average method. Then reliability of the scheme is proven in the simulation part with the aid of Matlab. This scheme is simple, practical and easy to realize. The delay systems have compensation effects for both the short time delay and the long time delay.

Keywords

Lyapunov methods; asymptotic stability; compensation; delays; digital simulation; mathematics computing; predictive control; Lyapunov stability theory; Matlab; NCS; Smith prediction compensation strategy; Smith predictor; asymptotically stable condition; long time delay; normalized weighted average method; random delay compensation; random delay prediction; short time delay; simulation part; Automation; Delays; Educational institutions; Electronic mail; Hidden Markov models; MATLAB; Mathematical model; Asymptotically stability; Matlab; Model; Normalized weighted average; Random delay; Smith predictor controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6895947

Filename

6895947