Daniel Ossmann

Prof. Dr. Daniel Ossmann

Department of Mechanical, Automotive and Aerospace Engineering, Munich University of Applied Sciences, 80335 Munich, Germany
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2014 in Control Engineering Practice
Verified
Journal Article
Closed access
AVAndreas Varga
Andreas Varga
Daniel OssmannDaniel Ossmann
Daniel Ossmann

1 June 2021 in Renewable Energy
Verified
Journal Article
Closed access
Daniel OssmannDaniel Ossmann
Daniel Ossmann
PSPeter Seiler
Peter Seiler
CMChristopher Milliren
Christopher Milliren
ADAlan Danker
Alan Danker

1 July 2018 in Control Engineering Practice
Verified
Journal Article
Closed access
JTJulian Theis
Julian Theis
Daniel OssmannDaniel Ossmann
Daniel Ossmann
FTFrank Thielecke
Frank Thielecke
HPHarald Pfifer
Harald Pfifer

5 March 2019 in Aerospace
Verified
Journal Article
Open access
PDF file
MPManuel Pusch
Manuel Pusch
Daniel OssmannDaniel Ossmann
Daniel Ossmann
Tamás LuspayTamás Luspay
Tamás Luspay
The model-based flight control system design for a highly flexible flutter demonstrator, developed in the European FLEXOP project, is presented. The flight control system includes a baseline controller to operate the aircraft fully autonomously and a flutter suppression controller to stabilize the unstable aeroelastic modes and extend the aircraft’s operational range. The baseline control system features a classical cascade flight control structure with scheduled control loops to augment the lateral and longitudinal axis of the aircraft. The flutter suppression controller uses an advanced blending technique to blend the flutter relevant sensor and actuator signals. These blends decouple the unstable modes and individually control them by scheduled single loop controllers. For the tuning of the free parameters in the defined controller structures, a model-based approach solving multi-objective, non-linear optimization problems is used. The developed control system, including baseline and flutter control algorithms, is verified in an extensive simulation campaign using a high fidelity simulator. The simulator is embedded in MATLAB and a features non-linear model of the aircraft dynamics itself and detailed sensor and actuator descriptions.

6 January 2019
Verified
Conference Paper
Closed access
TLTamás Luspay
Tamás Luspay
Daniel OssmannDaniel Ossmann
Daniel Ossmann
MWMatthias Wuestenhagen
Matthias Wuestenhagen
DTDániel Teubl
Dániel Teubl
TBTamás Baár
Tamás Baár
Mark LowenbergMark Lowenberg
Mark Lowenberg

14 June 2017 in Wind Energy
Verified
Journal Article
Closed access
PDF file
Daniel OssmannDaniel Ossmann
Daniel Ossmann
JTJulian Theis
Julian Theis
PSPeter Seiler
Peter Seiler