Special Issue Article
System Identification And Design Of Controllers For A Hybrid Tank System
Controlling of level process is one of the most common problems in the process industry. In this paper, system identification is attempted for hybrid tank process which is a classic example of a highly nonlinear system. System identification provides a better alternative to find their system transfer function which yields accurate model for nonlinear systems. The inflow rate of the hybrid tank is measured using a turbine flow meter and the output level is measured using a differential pressure transmitter (DPT). The system identification process is used here to identify the transfer function, nature of the system using the inputs and the outputs available. From the obtained transfer function the controllers such as PID, IMC and Fuzzy logic controller is implemented and their performance analysis is carried out.