direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Development of an Intelligent Variable Stator Vanes Control Algorithm

The requirements for high pressure compressors of modern aero engines in terms of delivered pressure ratio are rising due to the demand for more and more efficient engines. In order to ensure acceptable part load performance, modern multistage compressors are usually equipped with variable geometries such as handling bleed valves (HBV) or variable stator vanes (VSV).

The control logic of variable stator vanes holds high potential regarding cycle optimization and operating range extension at engine off-design condition.

Therefore the project’s aim is to optimize the aero-engine system regarding block fuel burn and extension of the operating range in steady state as well as transient operation. Besides that, it is investigated whether an uncoupled VSV System will improve compressor matching at off-design and particularly at deviation from steady state operating line. The results of the optimization are used to develop an intelligent VSV control algorithm which is capable to ensure optimum operation at off-design.

The investigations are conducted numerically with a coupled system of a compressor meanline and a performance program in order to properly model the compressors behavior within thermodynamic whole engine simulation.

Ansprechpartner: Dipl.-Ing. Martin Bolemant

Nach oben


An Automated Process to Create Start Values for Gas Turbine Performance Simulations Using Neural Networks and Evolutionary Algorithms

R. Becker1, M. Bolemant2, D. Krause2, D. Peitsch2
(1 Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR); 2 TU Berlin)

International Gas Turbine Congress 2015,
Tokyo, Japan, November 15-20 2015, IGTC2015-0107

An alternative compressor modeling method within gas turbine performance simulations

M. Bolemant, D. Peitsch
(TU Berlin)

Deutscher Luft- und Raumfahrtkongress 2014,
Augsburg, Germany, September 16-18 2014, DLRK 2014-340047

Nach oben

Zusatzinformationen / Extras


Schnellnavigation zur Seite über Nummerneingabe

Diese Seite verwendet Matomo für anonymisierte Webanalysen. Mehr Informationen und Opt-Out-Möglichkeiten unter Datenschutz.


Dipl.-Ing. Julian Gambel
Tel. +49 (0)30 314-29481
Institut für Luft- und Raumfahrt
Raum F 013