Optimization-based control with open modeling architecture systems and methods

A method for controlling operation of an industrial process, comprising:

• receiving, via a control system, an operational parameter of an actuator measured by one or more sensors, wherein the actuator operates to facilitate performing the industrial process;
• executing, via the control system, an optimization module comprising an optimization engine configured to determine a control action to be implemented by the actuator to facilitate performing the industrial process based at least in part on the operational parameter of the actuator, an objective function, and a computationally optimized process model;
• executing, via the control system, a plurality of model modules comprising mathematical representations of a response or parameters of the industrial process;
• executing, via the control system, a first unified access module (UAM), wherein:
• the first UAM is configured to interface between a first subset of the plurality of model modules and the optimization module based on an execution frequency of the first subset of the plurality of model modules and an execution frequency of the optimization model;
• the execution frequency of the first subset of the plurality of model modules and the execution frequency of the optimization model are decoupled;
• and
• the first UAM is configured to adapt output of the first subset of the plurality of model modules for consumption by the optimization module to hide implementation details of the plurality of model modules from and make inaccessible to the optimization module;
• executing, via the control system, a second UAM, wherein the second UAM is configured to interface between a second subset of the plurality of model modules and the first subset of the plurality of model modules and configured to adapt output of the second subset for consumption by the first subset of the plurality of model modules;
• and
• controlling, via the control system, performance of the industrial process by instructing the actuator to implement the control action determined by executing the optimization module.

A tangible, non-transitory, computer-readable medium storing instructions that, when executed by a processor, cause the processor to:

• execute an optimization module comprising an optimization engine configured to determine a control action to be implemented by an actuator to facilitate performing an industrial process based at least in part on an operational parameter of the actuator measured by one or more sensors, an objective function, and a computationally optimized process model;
• execute a plurality of model modules comprising mathematical representations of a response or parameters of the industrial process;
• and
• execute a first unified access module (UAM), wherein the first UAM is configured to interface between a first subset of the plurality of model modules and the optimization module and configured to adapt output of the first subset of the plurality of model modules for consumption by the optimization module to hide implementation details of the plurality of model modules from and make inaccessible to the optimization module;
• execute a second UAM, wherein the second UAM is configured to interface between a second subset of the plurality of model modules and the first subset of the plurality of module modules and configured to adapt output of the second subset for consumption by the first subset of the plurality of model modules;
• control performance of the industrial process by instructing the actuator to implement the control action determined by executing the optimization module;
• the instructions, when executed by the processor, cause the processor to decouple an execution frequency of the optimization module from execution frequencies of the plurality of model modules, and implementation details of the plurality of model modules are secured from other model modules and the optimization module;
• and
• the first UAM is configured to interface between the first subset of the plurality of model modules and the optimization model based on the execution frequency of the first subset and the execution frequency of the optimization model.