MODEL PREDICTIVE CONTROLLERS FOR A NETWORKED DC SERVO SYSTEM

Feedback control systems, wherein the loops used to control the behavior of a plant are closed through a real time communication network, are called networked control systems. Networked Control Systems (NCSs) are one type of distributed control systems where sensors, actuators, and controllers are interconnected by communication networks. The primary advantages of an NCS are reduced system wiring, ease of system analysis and maintenance. In this thesis, the analysis and design of networked control systems with the communication delay and data loss, which are responsible for degradation of the control performance, are considered. Model predictive control strategies are applied to compensate the communication delay and data loss in the NCS. Studied about TrueTime Simulator and the control strategies are applied to a DC servo system using this TrueTime Simulator with communication delay and data packet loss. Also, the stability and the system performance of the close loop networked control system are analyzed.