An Experimental Validation of Model Based Control Techniques for Interacting Nonlinear Systems

Abstract

Model based controllers are those controllers that has gained significant attention in the arena of nonlinear process control. Conical tank is a nonlinear process whose nonlinearity increases when it interacts with another conical tank. Maintaining the level of an interacting nonlinear process operating with constraints is the control objective of this paper. Model Predictive Control (MPC) has the capability of handling constraints and exerts a control action with optimization. MPC is employed for this process and the experimental results obtained are subjected to time domain analysis and the performances are compared with the performance of Proportional’, ’Integral’, ’Derivative (PID) and Internal Model controller based PID (IMC’, ’PID) controller.