초록 ▼

A model predictive controller for a process control system which includes a real-time executive sequencer and an interactive modeler. The interactive modeler includes both a process model and an independent disturbance model. The process model represents the dynamic behavior of the physical process,

A model predictive controller for a process control system which includes a real-time executive sequencer and an interactive modeler. The interactive modeler includes both a process model and an independent disturbance model. The process model represents the dynamic behavior of the physical process, while the disturbance model represents current and future deviations from the process model. The interactive modeler estimates current process states from the process model and input data received from the executive sequencer. The executive sequencer then projects a set of future process parameter values, which are sought to be controlled, over a predetermined control horizon. The interactive modeler then solves a set of equations as to how the physical process will react to control changes in order to determine an optimized set of control changes. As a result, the process control system will be able to accurately track a predetermined set-point profile in the most effective and cost efficient manner.

대표청구항 ▼

[ What is claimed is:] [1.] In a process control system having input means for receiving signals indicative of measured process parameters, and output means for transmitting command signals which include at least one manipulated parameter value that is used to govern physical process equipment, a mo

[ What is claimed is:] [1.] In a process control system having input means for receiving signals indicative of measured process parameters, and output means for transmitting command signals which include at least one manipulated parameter value that is used to govern physical process equipment, a model predictive controller, comprising:interactive modeling means for estimating the current state of at least one unmeasured process variable and for determining the value of at least one said manipulated parameter value for said process equipment at selected intervals, said interactive modeling means having both a process model which represents the dynamic behavior of the physical process equipment being controlled and an independent disturbance model which represents current deviations from said process model and future deviations over a predetermined prediction horizon, said process model including at least one nonlinear function which is specifically related to the physical process being controlled;real-time executive means for directing the operation of said interactive modeling means, said real-time executive means having means for periodically transferring said signals indicative of measured process parameters to said interactive modeling means and means for transferring said manipulated parameter value from said interactive modeling means to said output means; andmeans for testing the validity of said signals which are indicative of measured process parameters, the current estimated state of said unmeasured process variable, and the value of said manipulated parameter value.