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Simulation and stability testing of the fuzzy control of an implant welding unit; Simulation und Stabilitaetsuntersuchung der Fuzzy-Regelung einer Implant-Schweissanlage

Abstract

Non-linear or processes disturbed by noise demand new concepts of controlling. The aim is to control despite the non-linearity or minimize the influence of noise, respectively. In many cases the use of Fuzzy-Logic seems to be a reasonable solution. Many successes increase the research done on the field during recent times. The subject of this paper is to develop a controller in order to control the electrode spacing of an arc, and to show the stability of the controlled plant. The aim is to proof that the feed back control system is able to control the arc. The proof is done on the base of quantity and quality models as well. All Fuzzy-Logic calculations are done by a micro-controller made by Togai. Quantity simulations are used to check the stability of the process by changing its parameters. It is shown that the quality modelling and controlling keep the arc at its working area with a sufficient probability of success for practical use. (orig.) [Deutsch] Nichtlineare bzw. stark verrauschte und gestoerte Prozesse erfordern neue Regelungskonzepte. Eine moegliche Loesung ist der Einsatz von Fuzzy-Reglern. In dieser Arbeit wird ein Fuzzy-Regler fuer den Elektrodenvorschub eines Schweissautomaten entworfen. Anhand von Untersuchungen am quantitativen und  More>>
Authors:
Publication Date:
Dec 31, 1993
Product Type:
Thesis/Dissertation
Report Number:
GKSS-93/E/78
Reference Number:
SCA: 360101; PA: DE-95:0G1204; EDB-95:029130; SN: 95001321985
Resource Relation:
Other Information: TH: Diplomarbeit; PBD: 1993
Subject:
36 MATERIALS SCIENCE; WELDING MACHINES; CONTROL; SIMULATION; FUZZY LOGIC; STABILITY; ARC WELDING; DIAGRAMS; DATA; MOCKUP; COMPUTER CODES; FLOWSHEETS; TRAJECTORIES; 360101; PREPARATION AND FABRICATION
OSTI ID:
10114374
Research Organizations:
Technische Univ. Hamburg-Harburg, Hamburg (Germany)
Country of Origin:
Germany
Language:
German
Other Identifying Numbers:
Journal ID: ISSN 0344-9629; Other: ON: DE95738841; TRN: DE95G1204
Availability:
OSTI; NTIS (US Sales Only)
Submitting Site:
DE
Size:
112 p.
Announcement Date:
Jun 30, 2005

Citation Formats

Blidung, T. Simulation and stability testing of the fuzzy control of an implant welding unit; Simulation und Stabilitaetsuntersuchung der Fuzzy-Regelung einer Implant-Schweissanlage. Germany: N. p., 1993. Web.
Blidung, T. Simulation and stability testing of the fuzzy control of an implant welding unit; Simulation und Stabilitaetsuntersuchung der Fuzzy-Regelung einer Implant-Schweissanlage. Germany.
Blidung, T. 1993. "Simulation and stability testing of the fuzzy control of an implant welding unit; Simulation und Stabilitaetsuntersuchung der Fuzzy-Regelung einer Implant-Schweissanlage." Germany.
@misc{etde_10114374,
title = {Simulation and stability testing of the fuzzy control of an implant welding unit; Simulation und Stabilitaetsuntersuchung der Fuzzy-Regelung einer Implant-Schweissanlage}
author = {Blidung, T}
abstractNote = {Non-linear or processes disturbed by noise demand new concepts of controlling. The aim is to control despite the non-linearity or minimize the influence of noise, respectively. In many cases the use of Fuzzy-Logic seems to be a reasonable solution. Many successes increase the research done on the field during recent times. The subject of this paper is to develop a controller in order to control the electrode spacing of an arc, and to show the stability of the controlled plant. The aim is to proof that the feed back control system is able to control the arc. The proof is done on the base of quantity and quality models as well. All Fuzzy-Logic calculations are done by a micro-controller made by Togai. Quantity simulations are used to check the stability of the process by changing its parameters. It is shown that the quality modelling and controlling keep the arc at its working area with a sufficient probability of success for practical use. (orig.) [Deutsch] Nichtlineare bzw. stark verrauschte und gestoerte Prozesse erfordern neue Regelungskonzepte. Eine moegliche Loesung ist der Einsatz von Fuzzy-Reglern. In dieser Arbeit wird ein Fuzzy-Regler fuer den Elektrodenvorschub eines Schweissautomaten entworfen. Anhand von Untersuchungen am quantitativen und qualitativen Modell wurde geprueft, ob der so entstandene Regelkreis bei geeigneter Wahl der Regeln den Lichtbogen so fuehrt, dass waehrend des Schweissens der Lichtbogen weder durch Abreissen noch durch Kurzschluss verlischt. Fuer die Berechnungen, die der Fuzzy-Regler durchzufuehren hat, wird ein Fuzzy-Micro-Controller der Firma Togai eingesetzt, der auch reale Prozesse steuern kann. Die Simulationen geben Aufschluss, in welchen Parameterbreichen der Regler den Prozess stabilisieren kann. Untersuchungen des geschlossenen Regelkreises mit Automatenmodellen koennen fuer Stabilitaetsbetrachtungen herangezogen werden. Es kann so gezeigt werden, dass die Regelung den Prozess mit fuer die Praxis ausreichender Wahrscheinlichkeit in der Naehe des eingestellten Arbeitspunktes halten kann. (orig.)}
place = {Germany}
year = {1993}
month = {Dec}
}