CA2254733A1 - Method and apparatus for dynamic and steady-state modeling over a desired path between two end points - Google Patents

Method and apparatus for dynamic and steady-state modeling over a desired path between two end points

Info

Publication number
CA2254733A1
CA2254733A1 CA002254733A CA2254733A CA2254733A1 CA 2254733 A1 CA2254733 A1 CA 2254733A1 CA 002254733 A CA002254733 A CA 002254733A CA 2254733 A CA2254733 A CA 2254733A CA 2254733 A1 CA2254733 A1 CA 2254733A1
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CA
Canada
Prior art keywords
model
dynamic
steady
static
gain
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CA002254733A
Other languages
French (fr)
Other versions
CA2254733C (en
Inventor
Gregory D. Martin
Eugene Boe
Stephen Piche
James David Keeler
Douglas Timmer
Mark Gerules
John P. Havener
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Rockwell Automation Pavilion Inc
Original Assignee
Pavilion Technologies, Inc.
Gregory D. Martin
Eugene Boe
Stephen Piche
James David Keeler
Douglas Timmer
Mark Gerules
John P. Havener
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Pavilion Technologies, Inc., Gregory D. Martin, Eugene Boe, Stephen Piche, James David Keeler, Douglas Timmer, Mark Gerules, John P. Havener filed Critical Pavilion Technologies, Inc.
Publication of CA2254733A1 publication Critical patent/CA2254733A1/en
Application granted granted Critical
Publication of CA2254733C publication Critical patent/CA2254733C/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/048—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor

Abstract

A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22).
The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. The bi have a direct effect on the gain of a dynamic model (22). This is facilitated by a coefficient modification block (40). Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y.
Additionally, the path that is traversed between steady-state value changes.
CA002254733A 1996-05-06 1997-05-05 Method and apparatus for dynamic and steady-state modeling over a desired path between two end points Expired - Fee Related CA2254733C (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US08/643,464 US5933345A (en) 1996-05-06 1996-05-06 Method and apparatus for dynamic and steady state modeling over a desired path between two end points
US08/643,464 1996-05-06
PCT/US1997/008473 WO1997042553A1 (en) 1996-05-06 1997-05-05 Method and apparatus for modeling dynamic and steady-state processes for prediction, control and optimization

Publications (2)

Publication Number Publication Date
CA2254733A1 true CA2254733A1 (en) 1997-11-13
CA2254733C CA2254733C (en) 2002-02-19

Family

ID=24580938

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002254733A Expired - Fee Related CA2254733C (en) 1996-05-06 1997-05-05 Method and apparatus for dynamic and steady-state modeling over a desired path between two end points

Country Status (9)

Country Link
US (4) US5933345A (en)
EP (1) EP0897560B1 (en)
JP (1) JP2000510265A (en)
KR (1) KR20000010791A (en)
AR (1) AR008043A1 (en)
AU (1) AU733463B2 (en)
CA (1) CA2254733C (en)
DE (1) DE69717987T2 (en)
WO (1) WO1997042553A1 (en)

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