Constraint and limit feasibility process in process control system optimizer procedure

Abstract

An optimization technique for use in driving a process plant controller, such as a model predictive controller, uses an organized, systematic but computationally simple method of relaxing or redefining manipulated, control and/or auxiliary variable constraints when there is no feasible optimal solution within pre-established constraints, to thereby develop an achievable solution for use by the controller. The optimization routine uses penalized slack variables and/or redefines the constraint model in conjunction with the use of penalty variables to develop a new objective function, and then uses the new objective function to determine a control solution that bests meets the original constraint limits.

Description

[0001] related application [0002] This application is a continuation-in-part of U.S. Patent Application Serial No. 10 / 241,350, filed September 11, 2002, entitled "Integrated Model Predictive Control and Optimization Within a Process Control System," which is hereby expressly Please include the disclosed content by reference. technical field [0003] This patent relates generally to process control systems and, in particular, to the determination of constraints and limits in process control system optimization procedures when used with, for example, model predictive controllers to control process facilities Feasibility treatment. Background technique [0004] Process control systems, such as those used in chemical, petroleum, or other processes, such as distributed or scalable process control systems, typically include one or more process controllers that can be controlled by analog, digital, or analog / digital The combination bus is in communication with each other, with ...

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Although this technique removes the burden of excessive computation in an offline environment, it needs to deal w

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