WO1996009573A3 - Einrichtung zur adaptiven regelung einer strecke - Google Patents

Einrichtung zur adaptiven regelung einer strecke Download PDF

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Publication number
WO1996009573A3
WO1996009573A3 PCT/DE1995/001223 DE9501223W WO9609573A3 WO 1996009573 A3 WO1996009573 A3 WO 1996009573A3 DE 9501223 W DE9501223 W DE 9501223W WO 9609573 A3 WO9609573 A3 WO 9609573A3
Authority
WO
WIPO (PCT)
Prior art keywords
section
neural network
parameters
sampled values
arrangement
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.)
Ceased
Application number
PCT/DE1995/001223
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English (en)
French (fr)
Other versions
WO1996009573A2 (de
Inventor
Hans-Peter Preuss
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.)
Siemens AG
Siemens Corp
Original Assignee
Siemens AG
Siemens Corp
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 Siemens AG, Siemens Corp filed Critical Siemens AG
Publication of WO1996009573A2 publication Critical patent/WO1996009573A2/de
Publication of WO1996009573A3 publication Critical patent/WO1996009573A3/de
Anticipated expiration legal-status Critical
Ceased 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
    • 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
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only

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  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Feedback Control In General (AREA)

Abstract

Die Erfindung betrifft eine Einrichtung zur adaptiven Regelung einer Strecke (3) mit einer Signalvorverarbeitung (4), mit der aus dem zeitlichen Verlauf der Regelgröße (x) Abtastwerte (a) erzeugbar sind, und mit einem neuronalen Netz (5), das in Abhängigkeit von den Abtastwerten (a) die Parameter (Kp, Tn, Tv) des Reglers (2) berechnet. Das neuronale Netz (5) ist anhand von Lerndaten der Parameter (Kp, Tn, Tv) und der Abtastwerte (a) der Streckensprungantwort trainiert, die durch analytisch berechnete Parameter-Einstellregeln oder durch Regelkreissimulation und numerische Optimierung für ein oder mehrere Streckenmodelle generiert wurden. Damit liefert das neuronale Netz (5) an den gelernten Daten optimale und aufgrund seiner Generalisierungseigenschaften an Zwischenwerten gut geeignete Reglerparameter. Die Erfindung wird angewandt in der Automatisierungstechnik.
PCT/DE1995/001223 1994-09-19 1995-09-07 Einrichtung zur adaptiven regelung einer strecke Ceased WO1996009573A2 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DEP4433332.3 1994-09-19
DE19944433332 DE4433332A1 (de) 1994-09-19 1994-09-19 Einrichtung zur adaptiven Regelung einer Strecke

Publications (2)

Publication Number Publication Date
WO1996009573A2 WO1996009573A2 (de) 1996-03-28
WO1996009573A3 true WO1996009573A3 (de) 1996-05-30

Family

ID=6528585

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/DE1995/001223 Ceased WO1996009573A2 (de) 1994-09-19 1995-09-07 Einrichtung zur adaptiven regelung einer strecke

Country Status (2)

Country Link
DE (1) DE4433332A1 (de)
WO (1) WO1996009573A2 (de)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5847952A (en) * 1996-06-28 1998-12-08 Honeywell Inc. Nonlinear-approximator-based automatic tuner
DE10302585B4 (de) * 2003-01-22 2004-12-30 Endress + Hauser Wetzer Gmbh + Co Kg Verfahren zum Einstellen eines Reglers
EP3825788B1 (de) * 2019-11-19 2022-11-09 Asco Numatics GmbH Regelvorrichtung, regelsystem und regelverfahren zur regelung einer physikalischen grösse eines fluides

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH03201008A (ja) * 1989-12-28 1991-09-02 Toshiba Corp ゲインスケジューリング制御装置
WO1993012476A1 (en) * 1991-12-18 1993-06-24 Honeywell Inc. A closed loop neural network automatic tuner

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH03201008A (ja) * 1989-12-28 1991-09-02 Toshiba Corp ゲインスケジューリング制御装置
WO1993012476A1 (en) * 1991-12-18 1993-06-24 Honeywell Inc. A closed loop neural network automatic tuner

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
PATENT ABSTRACTS OF JAPAN vol. 015, no. 469 (P - 1281) 27 November 1991 (1991-11-27) *
SWINIARSKI R W: "NOVEL NEURAL NETWORK BASED SELF-TUNING PID CONTROLLER WHICH USES PATTERN RECOGNITION TECHNIQUE", PROCEEDINGS OF THE AMERICAN CONTROL CONFERENCE, SAN DIEGO, MAY 23 - 25, 1990, vol. 3, 23 May 1990 (1990-05-23), INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, pages 3023 - 3024, XP000170168 *

Also Published As

Publication number Publication date
DE4433332A1 (de) 1996-03-21
WO1996009573A2 (de) 1996-03-28

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