Model reference adaptive control (MRAC) implementation for an industrial pilot stirrer process

Modeling of flow process in various tanks and vessels is one of the most common problems in the process industry. In this paper adaptive control is implemented for the CSTR process. The CSTR process is a classic example of a highly nonlinear system. Inflow rate is taken as the input data and process level is taken as the output for CSTR. The input flow is measured using a turbine flow meter while the output level is measured using a differential pressure transmitter (DPT). The mathematical model of the CSTR process is identified in the laboratory conditions using MATLAB simulations and this model is used for implementing in adaptive control in the simulation environment. Here Model Reference Adaptive Control (MRAC) is implemented for the given transfer function of the CSTR process and is being compared with conventional PID and auto tuning PID controllers. In future further adaptive controllers can be implemented for the same process along with the consideration of further nonlinearities which would be more helpful in optimization of the CSTR process.