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Neuronales Netzwerk basierte Drosselklappensteuerung für Kompressoren

Neuronales Netzwerk basierte Drosselklappensteuerung für Kompressoren

          
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About the Book

Zentrifugalkompressoren werden in verschiedenen Industriezweigen wie der Ölindustrie, der Luft- und Raumfahrt und in Gasanlagen eingesetzt, um den Druck und die Ölproduktion zu erhöhen. Das Hauptziel besteht darin, den Zentrifugalkompressor mit einem Anti-Surge-Control-Mechanismus (ASC) unter Verwendung neuronaler Netze zu modellieren, um Schwallprobleme zu vermeiden und die Leistungskennzahlen zu verbessern. Verschiedene Regler wie PID-Regler, gefolgt von Fuzzy-Logic-Reglern (FLC) und Neuro-Fuzzy-Reglern (NFC) werden in den Anti-Surge-Control (ASC)-Mechanismus für das Kompressor-Recyclingsystem integriert, um einen Leistungsvergleich zu ermöglichen. Die Modellierung des CRS mit ASC-Mechanismus wird mit der MATLAB Simulink-Umgebung durchgeführt. Die Simulationsergebnisse wie verschiedene Durchflussraten, Saug- und Plenumdrücke, Drehzahlen und Kompressorkennfelder werden für alle Reglerentwürfe im Detail realisiert. Die Fehlerreaktionen der Leistungsmetriken werden für CRS mit ASC-Mechanismus unter Verwendung verschiedener Regler im Detail analysiert. Basierend auf dem NNPC-Ausgangsverhalten im ASC-Mechanismus des CRS-Systems liegt die OP-Position neben der Surge-Control-Linie (SCL) Der NNPC liefert eine bessere OP-Position und vermeidet Surge


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Product Details
  • ISBN-13: 9786208070588
  • Publisher: KS Omniscriptum Publishing
  • Publisher Imprint: Verlag Unser Wissen
  • Height: 229 mm
  • No of Pages: 56
  • Spine Width: 3 mm
  • Width: 152 mm
  • ISBN-10: 6208070589
  • Publisher Date: 10 Sep 2024
  • Binding: Paperback
  • Language: German
  • Returnable: N
  • Weight: 95 gr


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Neuronales Netzwerk basierte Drosselklappensteuerung für Kompressoren
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