Design of linear quadratic gaussian controller for quadruple tank system

Abstract

Most of the industrial processes are multivariable in nature. Designing controller for the Multi Input Multi Output (MIMO) process is difficult because of the changes in process dynamics and interaction between process variables. The Quadruple Tank System (QTS) is a novel laboratory equipment which has been used in control literature as a bench mark system to illustrate many concepts in MIMO systems. The objective of the current study presented in this paper is to design a Linear Quadratic Gaussian (LQG) Controller for QTS using Linear Quadratic Regulator (LQR) and Kalman filter techniques. The validity and robustness of the proposed system is tested for reference tracking and disturbance rejection behaviour using simulation. Simulation results confirm the effectiveness of the proposed control methodology.