Dual-Mode Model-Based Control of a Process

Abstract

The disclosed systems and techniques enable dual mode operation for model-based controllers, wherein the controllers are capable of operating in both (i) a constrained solution mode, and (ii) an unconstrained solution mode. The dual mode operation improves control because it enables the use of constrained solution mode operation when possible (constrained solution mode often enables superior control) and enables the use of unconstrained solution mode when constrained solution mode is not possible (e.g., when it is impossible to develop the constrained solution with the time available). This enables superior control when compared to typical model predictive control (MPC) controllers.

Description

technical field [0001] The present disclosure relates generally to the use of model-based predictive control, and more particularly to the use of dual-mode operations that simultaneously generate constrained and unconstrained solutions to optimization problems. Background technique [0002] Distributed process control systems, such as those used in power generation, chemical, petroleum, or other processes, typically include at least one host or operator communicatively coupled to each other, via a process control network A workstation, and one or more process controllers communicatively coupled to one or more meters or field devices via an analog, digital, or combined analog / digital bus. [0003] Field devices perform functions within a process or plant, such as opening or closing valves, turning equipment on and off, and measuring process parameters. Exemplary field devices include valves, valve positioners, switches, and transmitters (e.g., devices including sensors for m...

AI Technical Summary

Problems solved by technology

However, since forming these accurate and precise predictions over a given time interval can be challenging (especially for complex processes that incl

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