The invention discloses a dynamic matrix control (DMC)
engineering method based on model simplification and prediction error correction, which relates to the DMC
engineering method and solves the existing problems as follows: (I) DMC cannot be applied in certain rapid control processes; (II) the indexes of the DMC for instant error correction
lag are influenced in predictive control; (III) although the real-time performance is improved by the model simplification, but the precision and the robustness of the
system are reduced; and (IV) bottom control is hard to realize. The DMC
engineering method based on the model simplification and the prediction error correction comprises the following concrete steps: (I) acquiring the
step response curve of the
system, and establishing a model of which the order is N; (II) simplifying the model, and reducing the order of the model to n; (III) simplifying the rolling
optimal control of the model; (IV) establishing a prediction error model; (V) judging whether
model testing passes or not; if the
model testing does not pass, returning to the step (IV); and if the
model testing passes, executing the comprehensive control of the model simplification and the prediction error correction; and (VI) judging whether a
control effect reaches the requirement or not; if the
control effect does not reach the requirement, returning to the step (II); and if the
control effect reaches the requirement, enabling the control effect to be used for control. The DMC engineering method based on the model simplification and the prediction error correction is used for DMC engineering control.