Optimization Study of Distillation Column Temperature Control System
For the distillation column system has coupling,time lag,nonlinearity and other problems,traditional control algorithms can not achieve better control results,and the general predictive control algorithms also has the problems of large computation as well as the existence of inverse matrix.Stepwise control is introduced to improve the dynamic matrix control(DMC)algorithm to reduce the dimensionality of the matrix,thus reducing the computational amount significantly.Considering that the traditional algorithms only correct the current error information and ignores the error information in the future moments,the inclusion of the output error correction term is conducive to fully utilizing the error information.The feedforward decoupling proportional integral differential(PID)control algorithm,traditional DMC algorithm and improved DMC algorithm are simulated on the simulation platform respectively.The simulation experimental results show that the improved DMC algorithm is better than the remaining two algorithms in terms of response speed and stability.The results of this study not only prove the advantages of the improved DMC algorithm,but also show the advantages of the modern new control strategy,which is expected to promote the application of the modern control strategy on the actual process control.
Distillation columnDynamic matrix control(DMC)Matlab simulationStepvvise controlMultivariable systemProportional integral differential(PID)controlDecoupling control