Smith Predictor Based on Predicting Induced-Delay

Shu De Li; Yi Chen; Cai Xia Liu

doi:10.4028/www.scientific.net/AMR.201-203.2003

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 201-203Smith Predictor Based on Predicting Induced-Delay

Smith Predictor Based on Predicting Induced-Delay

Abstract:

Since communication network is introduced into control system, induced-delay appears. Because of the delay, the performance of networked control system becomes bad, even unsteady. Conventional Smith predictor is sensitive to error in object model and needs delay’s value in advance. Regarding random delay, its application is limited. In this paper, we propose a method based on induced-delay predicted by BP neural network, which use two historical delay values to predict the next one. Smith predictor adjusts its parameters according to that value in time. The simulating results indicate that the precision of delay-predicting can be ensured and the performance of networked control system has been improved.

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Periodical:

Advanced Materials Research (Volumes 201-203)

Pages:

2003-2006

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.201-203.2003

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Online since:

February 2011

Authors:

Shu De Li, Yi Chen, Cai Xia Liu

Keywords:

Adjust on Line, BP Neural Network (BPNN), Networked Control, Smith Predictor, Time Delay

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