Gain-Scheduling Fuzzy PI Controller for a Two Tank System

Many industrial systems consist of hydrodynamic processes, making the ability to control these processes essential. Hydrodynamic processes are characterized by pronounced nonlinearity, which complicates the design of adequate control. The system's nonlinearity and unmodeled dynamics pose a challenge for the design of conventional PI controllers. To retain the advantages of these controllers and extend their application to nonlinear systems, controllers based on fuzzy logic, so-called fuzzy controllers, are designed. There are several types of fuzzy controllers depending on their output variable. One of them is a fuzzy controller whose output variables are the parameters of a PI controller. The successful application of this controller is experimentally confirmed on the DTS 200 system, which represents a benchmark hydrodynamic system. The controller provides an adequate control signal for successfully tracking a step reference value and suppressing disturbances.