Lecture Announcement: Flugdynamische Herausforderungen hochgradig-reglergestützter Konfigurationen

Prof. Dr.-Ing. Matthias Heller is happy to announce the 19th run of his lecture “Flight Dynamics Challenges of Highly Augmented Configurations” in the upcoming Winter Semester 2019/20 featuring updated, revised and restructured contents.

It is the objective of the elective lecture module to impart basic knowledge up to the state-of-the-art concerning the manifold flight dynamics challenges within the development of modern FbW aircraft (from preliminary design up to testing, clearance and certification).

More details can be found on the poster and the flyer.

“Operational Risk Management Issues between Theory and Real Life” – Cpt. Mattias Pak

Wed, 24.07.2019 14:00, MW2050
Cpt. Mattias Pak (747F)
Vice President Aviation Safety Cargolux Airlines

“Operational Risk Management Issues
between Theory and Real Life”

Some incidents or accidents cannot be quantified from operational data alone because they haven‘t occured in the past. Still, for some events there is a non zero risk that we would like to quanitfy so we can take the necessary precautions for the future.

One such issue is the transport of undeclared dangerous goods, for example hidden lithium batteries. There is an inherent risk with highly flammable material that endangers the crew as well as the whole operation.

How do we tell it is safe to take any such material on board? Can we take the risk? How do we quantify the probabilities?

Announcement: DLR Uni Summer School 2019 – Braunschweig​

TUM students have the opportunity to participate in this year’s DLR_Uni_Summer_School, taking place September 16-20, 2019, in Braunschweig. The students will prepare, conduct and evaluate different flight tests. The theoretical content will be applied in practice during flight tests with the research aircrafts of DLR (Cessna 208B Grand Caravan) and TU Braunschweig (Dornier Do 128-6).

Participation can be recognized as “Praktikum Flugversuchstechnik” (Flight Testing Lab).

See Announcement

Application is open until July 26, 2019. Please contact Moritz Speckmaier with full name, matriculation number and a list of relevant exams you have passed (Introduction to Flight System Dynamics and Flight Control or Flight System Dynamics 1/2 is required).

Vergebene Aufträge

Hier können Sie Informationen über vergebene Aufträge gemäß UVgO § 30 Abs. 1 (bis Ende 2017: VOL/A Abschnitt 1 §19 Abs. 2) einsehen.

Veröffentlicht werden für die Dauer von drei Monaten Aufträge nach einer Beschränkten Ausschreibung ohne Teilnahmewettbewerb oder einer Verhandlungsvergabe (vormals Freihändige Vergabe) ohne Teilnahmewettbewerb ab einem Auftragswert von 25.000 Euro ohne Umsatzsteuer. Diese Bestimmungen gelten nur für nationale Vergabeverfahren. Aufträge im Anschluss an europaweite Ausschreibungsverfahren werden im Amtsblatt der europäischen Union veröffentlicht.

Vorgang:

  • Vergabeverfahren:
    Verhandlungsvergabe mit Einholung von drei Vergleichsangeboten gemäß UVgO §8 Abs. 4 Pkt. 17
  • Auftragsgegenstand: 2x Ricoh MP C5504exASP
  • Auftragnehmer:
    Schöttl GmbH, Bezirksstraße 40, 85716 Unterschleißheim
  • Auftraggeber:
    TU München, Fakultät für Maschinenwesen, Lehrstuhl für Flugsystemdynamik, Boltzmannstraße 15, 85748 Garching bei München
  • Auftragsvolumen: 48.080,00 Euro (netto)
  • Zeitraum: 11/2018

Field Trip to Lufthansa at Munich Airport on January 18th 2019

Registration is closed since all slots are taken

The excursion starts on Friday, January 18th at 8:45am to 4:30pm on Munich Airport. The trip will be about

  • Airline operations management
  • A320 performance calculations
  • Lufthansa Fleet and working as a pilot
  • Maintenance in Lufthansa Technik workshop hangar

For more details see attachment and contact: Kevin Schmiechen

 

Guest Seminar: Machine Learning in Optimal Control

The Institute of Flight System Dynamics welcomes Professor Sébastien Gros from Chalmers University of Technology (Gothenburg, Sweden) for a guest seminar from November 5th – 9th, 2018 (seminar dates: Mon – Fri, 9-10:30 am, MW 3618).

The topic of his seminar is “Machine Learning in Optimal Control” and should give an introduction to the technique of reinforcement learning (i.e., “adaptive optimal control”) that uses the available measurement data gathered over the operation time to continuously increase the performance of the optimization algorithm and its result.

More information and the contact for questions can be found in the announcement.