Artificial Neural Network-based Smith Predictor for Compensating Random Time Delays Acting in Networked Control Systems

  • Ould Mohamed Mohamed Vall

Abstract

Networked Control Systems (NCSs) denote a kind of controlled system in which, process, sensors, and controllers share information and signals through a limited bandwidth network. The presence of a network in an NCS’s control loop causes delays, which may often lead to many imperfections, such as packet losses, multi-packet transmissions, packet disordering, or even system instability. This paper proposes an artificial neural network (ANN)-based Smith predictor to compensate for delays in NCSs. Two ANNs are used: one for estimating a model for the free-delay plant and the other for approximating the time delays affecting the system. The validity and effectiveness of the proposed approach are shown through a simulation example in MATLAB®/Simulink and TrueTime.

Published
2020-02-21
How to Cite
Mohamed Vall, O. M. (2020). Artificial Neural Network-based Smith Predictor for Compensating Random Time Delays Acting in Networked Control Systems. International Journal of Control and Automation, 13(1), 36 - 44. Retrieved from https://sersc.org/journals/index.php/IJCA/article/view/4835
Section
Articles