elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Sub-Optimal Non-Linear Optimization of Trajectory Planning for the DLR Next Generation Train (NGT)

Schirmer, Toni and Iraklis, Athanasios and Dittus, Holger and Windemut, Ivan and Winter, Joachim (2018) Sub-Optimal Non-Linear Optimization of Trajectory Planning for the DLR Next Generation Train (NGT). Fourth International Conference on Railway Technology - Railways 2018, 03.-07. Sep. 2018, Sitges, Spanien.

[img] PDF
1MB

Abstract

Distance domain-based Single Train Performance Simulator (STPS) tools using the Euler’s method and the combination of forward- and backward-facing driving calculations have been utilized for the development of railway vehicle trajectories as conventional Trajectory Planning Tools (TPT). Industry, operators and academic groups have used STPS tools for the development of test cases for design and real-time operation purposes of railway vehicles in great extent. Similar methods have been used by the German Aerospace Center (DLR) for the DLR vehicle concepts Next Generation Train (NGT) HST, LINK and CARGO. In particular, the 230 km/h NGT LINK concept has been analysed under -all-out- or otherwise called -driving as fast as possible- vehicle trajectories as well as under simplified trajectories with time reserves according to timetables for 140 km/h and 240 km/h railway tracks. The main disadvantage of the STPS-based approach utilized so far is the long times required for trajectory-oriented sensitivity analysis of the NGT LINK’s energy usage. In addition, TPT approaches make the energy-oriented optimization of the train’s driving behaviour difficult when a certain schedule is to be met and other constraints are applied, such as when different or same prices are used for required and returned energy to the catenary. In this paper, a sub-optimal non-linear optimization methodology is adapted and utilized to solve the problem of trajectory generation for the vehicle concept NGT LINK for three journey time-related test cases on the same track, with prices for required and returned energy prices being different. The sub-optimal optimization methodology is described and the results of the analysis on a pre-defined route are presented and compared to the simulation results of a conventional TPT tool for three different journey time requirements.

Item URL in elib:https://elib.dlr.de/121632/
Document Type:Conference or Workshop Item (Speech)
Title:Sub-Optimal Non-Linear Optimization of Trajectory Planning for the DLR Next Generation Train (NGT)
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schirmer, Tonitoni.schirmer (at) dlr.dehttps://orcid.org/0000-0001-5531-9041
Iraklis, AthanasiosAthanasios.Iraklis (at) dlr.dehttps://orcid.org/0000-0001-5637-3170
Dittus, HolgerHolger.Dittus (at) dlr.dehttps://orcid.org/0000-0002-3981-5560
Windemut, IvanIvan.Windemut (at) dlr.dehttps://orcid.org/0000-0001-9780-9540
Winter, Joachimjoachim.winter (at) dlr.deUNSPECIFIED
Date:4 September 2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:NGT, railway vehicle, non-linear optimization, trajectory planning, driving profile, cost opimization
Event Title:Fourth International Conference on Railway Technology - Railways 2018
Event Location:Sitges, Spanien
Event Type:international Conference
Event Dates:03.-07. Sep. 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Next Generation Train III (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Vehicle Concepts > Vehicle Energy Concepts
Deposited By: Schirmer, Toni
Deposited On:13 Sep 2018 11:23
Last Modified:31 Jul 2019 20:19

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.