Design of fuzzy based model predictive controller for conical tank system

Abstract

Control of industrial processes is a challenging task for several reasons due to their nonlinear dynamic behavior of the process, time varying parameters and constraints on manipulated variable, interaction between manipulated and controlled variables, unmeasured and frequent disturbances, dead time on input and measurements. The control of liquid level and flow is a basic problem in process industries. The Proportional-Integral (PI) controller is commonly used to control the level in process industries. The conical tank with non-linearity and constantly changing cross section are the immense challenge in process control. In this paper it is proposed to obtain the mathematical modeling of a conical tank system and to design fuzzy based model predictive controller (FMPC) for controlling the level in conical tank system. The controller is simulated using MATLAB/ SIMULINK environment and the results of each controller is compared which gives better performance than conventional controllers.