AWACS

Adaption of WORHP to Avionics Constraints

Coordinatore	Steinbeis Innovation gGmbH    more  Organization address address: WILLI BLEICHER STRASSE 19 city: STUTTGART postcode: 70174 contact info Titolo: Mr. Nome: Dennis Cognome: Wassel Email: send email Telefono: +49 421 218 63866
Nazionalità Coordinatore	Germany [DE]
Totale costo	484˙331 €
EC contributo	363˙248 €
Programma	FP7-JTI Specific Programme "Cooperation": Joint Technology Initiatives
Code Call	SP1-JTI-CS-2012-03
Funding Scheme	JTI-CS
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-04-01   -   2015-01-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	Steinbeis Innovation gGmbH  Organization address address: WILLI BLEICHER STRASSE 19 city: STUTTGART postcode: 70174 contact info Titolo: Mr. Nome: Dennis Cognome: Wassel Email: send email Telefono: +49 421 218 63866	DE (STUTTGART)	coordinator	199˙861.50
2	TECHNISCHE UNIVERSITAET MUENCHEN  Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 contact info Titolo: Ms. Nome: Katrin Cognome: Hörmann Email: send email Telefono: +49 89 289 22629 Fax: +49 89 289 22620	DE (MUENCHEN)	participant	82˙039.80
3	UNIVERSITY OF SOUTHAMPTON  Organization address address: Highfield city: SOUTHAMPTON postcode: SO17 1BJ contact info Titolo: Ms. Nome: Yan Cognome: Qiao Email: send email Telefono: 442381000000	UK (SOUTHAMPTON)	participant	81˙347.25

Mappa

 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

 Obiettivo del progetto (Objective)

'Technological progress leads to an on-going improvement of products in view of functionality, energy consumption or safety at the cost of increased complexity of tasks to be performed. The aim to achieve optimal performance of a process is getting more and more difficult to achieve as the number of parameters that influence the performance of the process is constantly increasing. The high complexity typically prohibits an optimization by hand and instead requires automatic optimization procedures and efficient optimization software, such as the ESA NLP solver WORHP (We Optimize Really Huge Problems). It is specifically designed to solve large-scale nonlinear optimization problems with several hundred thousands or even millions of optimization parameters and already satisfies many of the Clean Sky requirements. The purpose of this project is to adapt WORHP to aviation objectives and constraints with the aim to obtain an even more robust and efficient European NLP solver.

The project is divided into three parts. Part 1 addresses theoretical foundations and structural definitions of the optimization problems to be considered. This includes a study of problems that are typical for aeronautics applications. Part 2 is concerned with the implementation of extensions towards trajectory optimization (optimal control) in the existing solver WORHP and its companion transcriptor TransWORHP. A detailed test campaign on commonly used testsets like CUTEr and on testcases from aviation industry is performed In part 3. The implemented algorithms will be tested in a systematic way on the previously defined test-sets in order to assess the robustness and efficiency of the algorithm. The results of the test campaign will be used to refine the algorithm. The developed software will be documented, validated and tested. Suitable interfaces to existing software packages will be provided.'

Introduzione (Teaser)

Global air traffic continues to grow because of the constant travel demands brought on by globalisation. An EU initiative is examining ways of reducing air and noise pollution at or near airports by improving flight efficiency.