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Control of Propulsion System
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Department Control of the Power Train
Modelling and control of the electrical power train
Digital Engine Control
Topology-specific control strategies, i.e. robust and model-predictive control
Explicit consideration of the dynamic coupling between spatially distributed power trains and their associated subsystems
Optimal trajectory planing
Neural Networks
Fault detection and predictive maintenance
Sensor selection and positioning
Realtime analysis
Aritificial Intelligence (AI)
Modelling
First principal modelling
Data-driven modelling using machine learning approaches
Contact
Prof. Dr. Lars Enghardt
Acting Director of Institute
German Aerospace Center (DLR)
Institute of Electrified Aero Engines
Cottbus
Tel.: +49 30 67055-8274 (Secretariat)
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