Master Theis Application of Physics-Informed Machine Learning for Grid-Tied Inverter Control
Tasks
- Develop concept to improve AI black box implementations
- Develop physics informed current controller for grid tied inverter control
- Evaluate linear regulator and predictive controller
- Mitigate AI black box drawbacks in grid tied inverter applications
- Model system alongside implemented controller
- Research AI based implementations in literature
- Select AI based concept and apply machine learning
Perks/Benefits
Skills/Tech-stack
Control Engineering | Linear Regulator | Machine Learning | Modeling and Simulation | Neural Networks | Physics-informed machine learning | Power electronics | Predictive control | Recurrent Neural Networks | Reinforcement Learning | System Modeling
Regions
Countries
States
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