An Improved Algorithm of Double-layered Dynamic Matrix Predictive Control

This paper presents an improved algorithm of double-layered dynamic matrix predictive control (DDMC). Double layer means on the basis of dynamic control layer where it is using dynamic matrix predictive control for tracking, a steady-state target calculation (SSTC) layer is added to carry out steady-state target calculation for feasibility analysis and economic optimization. The improvement of the algorithm is mainly aimed at open-loop prediction and relaxation of constraints. The open-loop prediction is established based on the finite step response (FSR) model near the equilibrium point. In dynamic calculation, constraints are relaxed for the second time , then slack variables of constraints are added to the objective function after considering the results from SSTC. Finally, the improved algorithm was verified in an industrial model.