Dynamic controller utilizing a hybrid model
First Claim
1. A predictive system for predicting operation of a plant or process, comprising:
- a non-linear model comprising;
an empirical representation of the plant or process;
a first input operable to receive an input value; and
a first output operable to provide a first output value;
wherein the non-linear model is operable to receive the input value and generate the first output value using the empirical representation of the plant or process;
a linearized first principles model comprising;
an analytic representation of the plant or process, wherein the analytic representation of the plant or process is independent of the empirical representation;
a second input operable to receive the input value; and
a second output operable to provide a second output value;
wherein the linearized first principles model is operable to receive the input value and generate the second output value using the analytic representation of the plant or process;
a domain analyzer operable to determine whether the input value falls within a region of space where the non-linear model has an integrity that is less than a first threshold; and
a controller operable to;
use the non-linear model when the integrity is above the first threshold; and
use the linearized first principles model when the integrity is below the first threshold;
wherein the first output value and/or the second output value is usable to manage the plant or process.
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Abstract
A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.
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Citations
20 Claims
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1. A predictive system for predicting operation of a plant or process, comprising:
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a non-linear model comprising; an empirical representation of the plant or process; a first input operable to receive an input value; and a first output operable to provide a first output value; wherein the non-linear model is operable to receive the input value and generate the first output value using the empirical representation of the plant or process; a linearized first principles model comprising; an analytic representation of the plant or process, wherein the analytic representation of the plant or process is independent of the empirical representation; a second input operable to receive the input value; and a second output operable to provide a second output value; wherein the linearized first principles model is operable to receive the input value and generate the second output value using the analytic representation of the plant or process; a domain analyzer operable to determine whether the input value falls within a region of space where the non-linear model has an integrity that is less than a first threshold; and a controller operable to; use the non-linear model when the integrity is above the first threshold; and use the linearized first principles model when the integrity is below the first threshold; wherein the first output value and/or the second output value is usable to manage the plant or process. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A method for predicting operation of a plant or process, comprising:
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receiving an input value from the plant or process; determining an integrity of a non-linear model corresponding to a local input space of the input value, wherein the non-linear model comprises an empirical representation of the plant or process; if the integrity is above a first threshold, using the non-linear model to provide a first output value; and if the integrity is below the first threshold, using a linearized first principles model to provide a second output value, wherein the linearized first principles model comprises an analytic representation of the plant or process, and wherein the analytic representation of the plant or process is independent of the empirical representation of the plant or process; wherein the first output value and/or the second output value is usable to manage the plant or process. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A memory medium comprising program instructions for predicting operation of a plant or process, wherein the program instructions are executable by a processor to:
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receive an input value from the plant or process; determine an integrity of a non-linear model corresponding to a local input space of the input value, wherein the non-linear model comprises an empirical representation of the plant or process; if the integrity is above a first threshold, use the non-linear model to provide a first output value; and if the integrity is below the first threshold, use a linearized first principles model to provide a second output value, wherein the linearized first principles model comprises an analytic representation of the plant or process, and wherein the analytic representation of the plant or process is independent of the empirical representation of the plant or process; wherein the first output value and/or the second output value is usable to manage the plant or process. - View Dependent Claims (17, 18, 19, 20)
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Specification