Time Delay Processing In Networked Control System Using Smith Predictor and ANN Based Error Predictor

Shubhasree.A.V, Dr. Vijay Kumar

Abstract: Networked control system is essentially a closed loop system with a plant and controller, with the plant located in a remote area and controlling done through data communication networks. This depicts a nonlinear plant with stochastic time delay. This paper offers comparison of three models one of which is a novel method. Fuzzy logic controller is the best option amongst the conventional controllers like PI, PID being flexible and nonlinear. Promising robust control systems are possible with FLC in combination with new adaptive systems. Neural network is used to make FLC adaptive, however the method used is new. Classic method for time delay is Smith predictor which is also used here. Time delay can go up to 600ms, hence the operating range for simulations. Plant selected to run the simulations is an AC 400W servomotor.

Keywords: Artificial Neural Network, Fuzzy Logic Controller, Networked Control System, Smith Predictor, Time Delay

How to Cite?: Shubhasree.A.V, Dr. Vijay Kumar, "Time Delay Processing In Networked Control System Using Smith Predictor and ANN Based Error Predictor", Volume 4 Issue 5, May 2015, International Journal of Science and Research (IJSR), Pages: 2725-2729, https://www.ijsr.net/getabstract.php?paperid=SUB154879, DOI: https://dx.doi.org/10.21275/SUB154879