Two-Layer Predictive Control of a Continuous Biodiesel Transesterification Reactor

الملخص EN

A novel two-layer predictive control scheme for a continuous biodiesel transesterification reactor is presented.

Based on a validated mechanistic model, the least squares (LS) algorithm is used to identify the finite step response (FSR) process model adapted in the controller.

The two-layer predictive control method achieves the steady-state optimal setpoints and resolves the multivariable dynamic control problems synchronously.

Simulation results show that the two-layer predictive control strategy leads to a significant improvement of control performance in terms of the optimal set-points tracking and disturbances rejection, as compared to conventional PID controller within a multiloop framework.