Stabilize nonlinear interactive process by predictive method on receding horizon

Abstract

In this concept, analyze two processes model with certain tuning conditions. Design process with nonlinear conditions, disturbance and unstable position along with mutually interaction. Most of the processes are dynamic only w.r.t manipulated variable, disturbances and other unexpected conditions. Two models are resembled as interactive and mutual controlled process through sensors. Compare both processes with and without nonlinearity along with disturbance with tuning condition upto reach set point. Estimate prediction horizon, control horizon, weighted input, weighted rate of input, weighted output and desire trajectory are imposed for both processes by nonlinear predictive control. The main intense to regulate pressure and get desire level with impact of disturbances as temperature, added impurities etc… In this work, can be extended interaction of process with NMPC by adding more complexity and stabilize with certain tuning methods. NMPC is advance method to predictive input as well as output with respected sample time based on prediction horizon and control horizon on receding horizon of axis.