Predictive compensation for Networked Cascade Control Systems with uncertainties

In practical industrial process Networked Control Systems(NCS) with network delay is very common and the traditional approach is using the effective data used previous until the new data arrive. This paper presents a control compensation strategy, in this method the system contains a Networked Predictive Control Generator(NPCG) and a Network Predictive Control Compensator(NPCC), and the NPCG use its internal model to extrapolate the control signal based on the model of the signal and the data received previous and the NPCC will choose one control signal from the control sequence as the input of actuator based on the time stamp and the network delay. For illustrating the performance of the proposed control strategy, simulation of the Two-tank system with/without compensation and the traditional PID control have been carried out and analysis in details.