Using AI for Closed-Loop Control of a Buck Converter Application
Konferenz: PCIM Europe digital days 2020 - International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management
07.07.2020 - 08.07.2020 in Deutschland
Tagungsband: PCIM Europe digital days 2020
Seiten: 5Sprache: EnglischTyp: PDF
Autoren:
Slippens, Marvin; Dick, Christian P. (TH Köln, University of Applied Sciences, Germany)
Inhalt:
This paper addresses the training of an artificial intelligence (AI) to control the transistor state of a buck converter the most efficient way. For this purpose, a buck converter simulation script was implemented in python. Afterwards, a reinforcement learning agent was trained to provide the optimal duty cycle for the PWM. The trained agent was then tested in the python environment.