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Method for model gain matrix modification

A gain matrix and model technology, applied in the direction of instruments, adaptive control, control/regulation systems, etc., can solve the problem of unstable characteristics of the optimal solution, unable to find a satisfactory solution, etc., and achieve simplified correction model matrix, time Reduced effect

Inactive Publication Date: 2009-08-12
EXXON RES & ENG CO
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Problems solved by technology

They also may not be able to find a solution that meets all the criteria
[0010] In practice, especially if the model is used to optimize a real process and model errors arise, modifying the matrix to improve its RGA properties is often neglected, resulting in relatively unstable properties in the optimized solution

Method used

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  • Method for model gain matrix modification
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  • Method for model gain matrix modification

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Embodiment Construction

[0021] An exemplary question is used for detailed explanation. Suppose there is a predictive model with two independent variables and two dependent variables. The gain matrix represents the interaction between the two independent variables and the two dependent variables. Table 1 shows an example of a 2×2 model prediction matrix.

[0022] For this problem, a simple light ends distillation column can be used as a process example. In this case, as attached figure 1 As shown, IND1 is the reboiler steam input, IND2 is the reflux rate, DEP1 is the concentration of C5+ (pentane and heavier) in the product pipe flow at the height, and DEP2 is the C4-( Butane and lighter) concentration. In this example problem, from the point of view of the gain ratio, regardless of which independent variable is operated, the relative effects on the quality of the two products are very similar. When the reboiler steam increases, the amount of C5 at the top increases, and the amount of C4 at the bottom de...

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Abstract

A method is presented for adjusting the steady-state gains of a multivariable predictive control, planning or optimization model with uncertainty. The user selects a desired matrix relative gain criteria for the predictive model or sub-model. This is used to calculate a base number. Model gains are extracted from the predictive model and the magnitudes are modified to be rounded number powers of the calculated base number.

Description

Technical field [0001] The invention relates to a method for correcting a model gain matrix. In particular, the present invention relates to model predictive process control applications, such as Aspen Technology's dynamic matrix control (DMC or DMCplus) (see US4349869) or Honeywell's RMPCT (see US5351184). It can also be applied to any application that involves the use of linear programs to solve uncertain problems (for example, Aspen PIMS TM Planning and scheduling procedures that way). Background technique [0002] Multivariate models are used to predict the relationship between independent and dependent variables. For a multivariable controller model, the independent variable is a controlled variable run by the controller, and the controlled variable is a potential constraint in this process. For multivariable controllers, the model includes dynamic and steady-state relationships. [0003] Most multivariable controllers have some kind of steady-state economic characteristic o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/02
CPCG05B13/048
Inventor R·S·霍尔T·J·彼得森T·S·波托夫A·R·普努鲁L·E·沃韦尔
Owner EXXON RES & ENG CO
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