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Implementation of Model Based Networked Predictive Control System

Networked control systems are made up of several computer nodes 
communicating over a communication channel, cooperating to control a 
plant. The stability of the plant depends on the end to end delay from 
sensor to the actuator. Although computational delays within the 
computer nodes can be made bounded, delays through the 
communication network are generally unpredictable. A method which 
aims to protect the stability of the plant under communication delays 
and data loss, Model Based Predictive Networked Control System 
(MBPNCS), has previously been proposed by the authors. This paper aims 
to demonstrate the implementation of this type of networked control 
system on a non-real-time communication network; Ethernet. 
 
In this paper, we first briefly describe the MBPNCS method, then 
discuss the implementation, detailing the properties of the operating 
system, communications and hardware, and later give the results on the 
performance of the Model Based Predictive Networked Control System 
implementation controlling a DC motor. 
This work was supported in part by the Scientific and Technological Re 
search Council of Turkey, project code 106E155.