Linear and Nonlinear Model Predictive Control of Quadruple Tank Process

In a multi input and output (MIMO) process mathematical modeling of the physical systems has gained importance due to the complexity of interactions within the system. All the parameters used in a model cannot be determined accurately. The major problem in a multivariable process is that loop interaction can arise and cause difficulty in feedback control design. This problem can be solved using centralized or decentralized controllers. One of the centralized techniques is model predictive control, which can be measured current to predicted future values of outputs. In this paper, model predictive control (MPC) technology for both linear and nonlinear model of quadruple tank process is proposed. It consists of four inter connected water tanks and two pumps as shown in figure 1. A general MPC control is presented, and approaches taken for the different aspects of the calculation are described. It is shown that MPC control is more stable, responsive and robust.