Abstract:
Various graphical displays used for visualization of control techniques in a process control system can be provided to an operator. For example, the graphical display could include an image associated with a portion of a process and icons that are associated with corresponding process variables. At least some of the icons include a symbol that represents a change of one value of the associated process variable relative to another value of the process variable. Another graphical display could include a pigeonhole display that includes visual elements associated with corresponding process variables. Selection of a visual element could present the operator with a peephole display that includes information associated with process variables associated with the selected visual element. Each visual element displays layers of information that are associated with its process variable.
Abstract:
Various graphical displays used for visualization of control techniques in a process control system can be provided to an operator. For example, the graphical display could include an image associated with a portion of a process and icons that are associated with corresponding process variables. At least some of the icons include a symbol that represents a change of one value of the associated process variable relative to another value of the process variable. Another graphical display could include a pigeonhole display that includes visual elements associated with corresponding process variables. Selection of a visual element could present the operator with a peephole display that includes information associated with process variables associated with the selected visual element. Each visual element displays layers of information that are associated with its process variable.
Abstract:
Various graphical displays used for visualization of control techniques in a process control system can be provided to an operator. For example, a graphical display could include (i) an image associated with at least a portion of a process and (ii) one or more icons identifying one or more process variables associated with at least the portion of the process. Selection of an icon could present the operator with a faceplate containing information associated with at least one of the process variables. Another graphical display could include (i) a focal variable symbol identifying a focal process variable and (ii) one or more additional variable symbols identifying one or more additional process variables associated with the focal process variable. Gains associated with the additional process variables could be identified in the display. Yet another graphical display could be used to remotely invoke and control applications executing in a process control system.
Abstract:
Various graphical displays used for visualization of control techniques in a process control system can be provided to an operator. For example, a graphical display could include (i) an image associated with at least a portion of a process and (ii) one or more icons identifying one or more process variables associated with at least the portion of the process. Selection of an icon could present the operator with a faceplate containing information associated with at least one of the process variables. Another graphical display could include (i) a focal variable symbol identifying a focal process variable and (ii) one or more additional variable symbols identifying one or more additional process variables associated with the focal process variable. Gains associated with the additional process variables could be identified in the display. Yet another graphical display could be used to remotely invoke and control applications executing in a process control system.
Abstract:
A method of dynamic model selection for hybrid linear/non-linear process control includes developing a plurality of process models including at least one linear process model and at least one non-linear process model from inputs including dynamic process data from a processing system that runs a physical process. At least two of the plurality of process models are selected based on a performance comparison based on at least one metric, wherein the selected process models number less than a number of the plurality of process models received. A multi-model controller is generated that includes the selected process models. The physical process is simulated using the multi-model controller by applying the selected process models to obtain closed loop performance test data for each of the selected models. The performance test data is compared. A selected process model is then selected.
Abstract:
A method of dynamic model selection for hybrid linear/non-linear process control includes developing a plurality of process models including at least one linear process model and at least one non-linear process model from inputs including dynamic process data from a processing system that runs a physical process. At least two of the plurality of process models are selected based on a performance comparison based on at least one metric, wherein the selected process models number less than a number of the plurality of process models received. A multi-model controller is generated that includes the selected process models. The physical process is simulated using the multi-model controller by applying the selected process models to obtain closed loop performance test data for each of the selected models. The performance test data is compared. A selected process model is then selected.