Maximilian Schenke

Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept

Maximilian Schenke, Wilhelm Kirchgässner, Oliver Wallscheid · IEEE Transactions on Industrial Informatics · 2019 · 110 citations

Engineering, Electrical Engineering, Electric Machines +16

Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments

Gerrit Book, Arne Traue, Praneeth Balakrishna et al. · IEEE Open Journal of Power Electronics · 2021 · 73 citations · Full text

Engineering, Electrical Engineering, Electric Machines +16

A Deep Q-Learning Direct Torque Controller for Permanent Magnet Synchronous Motors

Maximilian Schenke, Oliver Wallscheid · IEEE Open Journal of the Industrial Electronics Society · 2021 · 68 citations · Full text

Computing, Computer Science, Artificial Intelligence +16

Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes

Darius Jakobeit, Maximilian Schenke, Oliver Wallscheid · IEEE Transactions on Power Electronics · 2023 · 33 citations · Full text

Engineering, Systems Engineering, Electric Machines +16

Finite-Set Direct Torque Control via Edge-Computing-Assisted Safe Reinforcement Learning for a Permanent-Magnet Synchronous Motor

Maximilian Schenke, Barnabas Haucke-Korber, Oliver Wallscheid · IEEE Transactions on Power Electronics · 2023 · 28 citations · Full text

Engineering, Computer Science, Mechatronics Engineering +16