Partial decoupling unminimized model prediction function control method in oil refining industrial process

The invention relates to a partial decoupling unminimized model prediction function control method in an oil refining industrial process. The traditional control measure has low precision, so subsequent production control parameter instability, lower product qualification rate and lower device efficiency are caused. According to the method, firstly, a partial decoupling state space model is built on the basis of an oil refining industrial process model, and the basic process features are found out; then, a prediction function control loop is built on the basis of the partial decoupling state space model; and finally, a process object is integrally subjected to the prediction function control through calculating the parameters of a prediction function controller. The method provided by the invention has the advantages that convenience is effectively brought to the design of the controller, the control performance improvement is ensured, and simultaneously, the given production performance index is met. The control technology provided by the invention has the advantages that errors between the process parameters and the actual process parameters can be effectively reduced, the defects of the traditional controller are further overcome, simultaneously, the control device is ensured to operate in the optimum state, and the process parameters in the production process are controlled strictly.