US 12,699,368 B2 · Predictive feedforward control allowing dedicated control of some variables while minimizing impact on other variables

Abstract

Predictive feedforward control whereby past and the planned movements of certain process input variables are used in planning the control of some selected process output variables without allowing for the impact of the certain process input variables on those selected process output variables to impact planned movements of the certain process input variables. Existing model-based predictive control systems can be modified by incorporating a control package that is encoded with the predictive feedforward technique to control industrial multivariable process systems. A method includes (a) identifying a dynamic process model for the multivariable process system; and (b) implementing a dedicated feedforward control whereby within the processing unit certain process input variable signals are used by the processing unit for planning control of selected process signal output variable signals by adjustment of other process input variable signals to one or more manipulated actuators without impact to the certain process input variable signals.

Claims20

Dependent claims

A method of multivariable model predictive control (MPC) of an industrial multivariable process system, which produces a product material, that includes a (i) processing unit that receives controlled process output variable signals as inputs and generates manipulated process input variable signals as outputs (ii) a plurality of manipulated actuators that are adjustable to control the properties of the product material, and (iii) a plurality of sensors for measuring and acquiring property data of the product material, said method comprises:

(a) identifying a dynamic process model for the multivariable process system;
and
(b) implementing a feedforward control whereby within the processing unit certain process input variable signals are used by the processing unit for planning control of selected process output variable signals by adjustment of other process input variable signals to one or more manipulated actuators without impact to the certain process input variable signals.

A model predictive control (MPC) controller for controlling properties of a product material that is produced in a multivariable industrial process comprising:

a processor;
a plurality of manipulated actuators that are adjustable to control the properties of a product material;
a plurality of sensors configured to measure and acquire product data of the product material;
and
a memory device coupled to the processor and comprising a readable program for execution by the processor to:
(a) receive inputs from the sensors comprising product data of the product material;
(b) process a dynamic process model of the industrial process by implementing a feedforward control whereby within the processor certain inputs are used by the processor for planning control of selected process outputs by adjustment of other process inputs to one or more manipulated actuators of the plurality of manipulated actuators without the impact to the certain process inputs;
and
(c) provide a process input as the controller output coupled to control properties of the product material.

6 more elements

Dependencies are inferred from the claim text.

Predictive feedforward control allowing dedicated control of some variables while minimizing impact on other variables

Life of this patent

Predictive feedforward control allowing dedicated control of some variables while minimizing impact on other variables

Life of this patent

Abstract

Claims20