Titre :

Evaluation of Linear-Quadratic Optimal Control in Automatic Train Operation (ATO) during Unplanned Event

Auteur(s) :

Haq, Zaid Cahya Dinul [Auteur correspondant]
National Research and Innovation Agency [BRIN]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Sentouh, Chouki [Auteur]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Rijanto, Estiko [Auteur]
National Research and Innovation Agency [BRIN]
Popieul, Jean-Christophe [Auteur]
Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
Nugroho, Tsani Hendro [Auteur]
National Research and Innovation Agency [BRIN]
Putranto, Prasetyo [Auteur]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
National Research and Innovation Agency [BRIN]

Titre de la manifestation scientifique :

2024 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)

Ville :

Bandung

Pays :

Indonésie

Date de début de la manifestation scientifique :

2024-11-12

Éditeur :

IEEE

Date de publication :

2024-11-12

Mot(s)-clé(s) en anglais :

train
Automatic Train Operation
optimal control
disturbance
unplanned event

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

Automatic Train Operation (ATO) systems have become essential in urban rail networks with the aim of minimizing human error, improving punctuality, and optimizing energy consumption. However, unplanned incidents, such as ...
Lire la suite >Automatic Train Operation (ATO) systems have become essential in urban rail networks with the aim of minimizing human error, improving punctuality, and optimizing energy consumption. However, unplanned incidents, such as post-automatic train protection (ATP) or driver interventions, reduce the performance of the designed ATO. This study aims to evaluate the ability of the optimal quadratic control strategy to deal with ATO during unplanned events, including driver intervention. By simulating various scenarios and analyzing key performance indicators, this research provides information on the robustness, adaptability, and overall contribution of the strategy to the reliability of ATO systems. The findings inform improvements in control algorithms, ultimately improving the resilience and efficiency of urban rail systems.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL

Date de dépôt :

2025-01-23T09:05:52Z