Period-Varying Sampling Scheme for Networked Control Systems

Abstract:

In the networked control systems, control performance and network performance are closely related to the sampling period influenced by the network-induced delay. So in order to improve the network performance by adjusting the current sampling period, a period-vary sampling scheme is proposed based on an adjuster for the sampling period designed. In this scheme, the adjuster consists of a monitor, which acquires network resources utilization and the executive time of data packet, and a predictor, which uses BP neural network to predict the next sampling period by utilizing network resources utilization and data packet executive time. The simulation results show that the proposed scheme can alleviate the influence of time delay and improve the performance of the networked control systems.

• Periodical: Advanced Materials Research (Volume 279)
• Pages: 445-450
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.279.445
• Online since: July 2011
• Authors: Yan Shen, Bing Guo
• Keywords: BP Neural Network (BPNN), Network Utilization, Networked Control System (NCS), Period-Varying Sampling, Time Delay

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