Optimal Control of CSTR

Nonlinear Model PredictiveControl (MPC) of Continuous Stirred Tank Reactor (CSTR) has been demostrated in this work. Optimal state estimation has been done using Extended Kalman Filter (EKF). Second order mathematical model for CSTR has been developed and further used for dynamic simulations. It is found that optimal control of temperature inside the CSTR is achieved better with the help of MPC strategy compared to conventional control strategies. It is seen that setpoint tracking performance using this optimal control strategy is satisfactory achieved