The invention relates to an
intelligent control module implementation method based on a decentralized
control system, which comprises the following steps of: developing an
intelligent control algorithm program, and establishing a matrix variable to represent a
model parameter required by an
algorithm; the program input comprises
model parameter update variables and
control parameters; the optimal
model parameters calculated off-line through the optimization
algorithm are stored as data files and stored in a set path; an
intelligent control algorithm program is loaded in the decentralized
control system, corresponding data files are read respectively, and
model parameters are set; one intelligent
control algorithm program is selected to be output as a final control instruction of the multiple intelligent
control algorithm programs, and the running state of each intelligent
control algorithm program is judged according to the value of the
model parameter updating variable; when the program is in a normal operation state, obtaining input to output a control instruction; when the program is in the model loading state, the latest
data file in the corresponding set path is read again, the current model parameter is updated, and in the updating process, the control instruction output by the module in the normal operation state is tracked. Compared with the prior art, the method has the advantages that intelligent control algorithm
model parameters can be updated online, and the output control instruction is more effective.