Oliver Wallscheid

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 30

Top Topics

Reinforcement Learning

Power Electronics

Permanent Magnet

Error Compensation

Top Venues

IEEE Trans. Ind. Electron.

Publications

Wilhelm Kirchgässner, Nikolas Förster, Till Piepenbrock, Oliver Schweins, Oliver Wallscheid
HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores. CoRR (2024)
Daniel Weber, Maximilian Schenke, Oliver Wallscheid
Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems. IEEE Access 11 (2023)
Oliver Wallscheid, Sebastian Peitz, Jan Stenner, Daniel Weber, Septimus Boshoff, Marvin Meyer, Vikas Chidananda, Oliver Schweins
ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids. J. Open Source Softw. 8 (89) (2023)
Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker
Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. CoRR (2023)
Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Daniel Weber, Maximilian Schenke, Oliver Wallscheid
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control. CoRR (2022)
Marius Stender, Marius Becker, Oliver Wallscheid, Joachim Böcker
Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions. IECON (2022)
Maximilian Schenke, Oliver Wallscheid
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning. CoRR (2021)
Marius Stender, Oliver Wallscheid, Joachim Böcker
Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives. IEEE Trans. Ind. Electron. 68 (9) (2021)
Praneeth Balakrishna, Gerrit Book, Wilhelm Kirchgässner, Maximilian Schenke, Arne Traue, Oliver Wallscheid
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems. J. Open Source Softw. 6 (58) (2021)
Marius Stender, Oliver Wallscheid, Joachim Böcker
Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor. IECON (2021)
Daniel Weber, Stefan Heid, Henrik Bode, Jarren H. Lange, Eyke Hüllermeier, Oliver Wallscheid
Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments. IEEE Access 9 (2021)
Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker
Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning. CoRR (2021)
Anian Brosch, Oliver Wallscheid, Joachim Böcker
Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors. IEEE Trans. Ind. Informatics 17 (12) (2021)
Stefan Heid, Daniel Weber, Henrik Bode, Eyke Hüllermeier, Oliver Wallscheid
OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. J. Open Source Softw. 5 (54) (2020)
Henrik Bode, Stefan Heid, Daniel Weber, Eyke Hüllermeier, Oliver Wallscheid
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control. CoRR (2020)
Sören Hanke, Oliver Wallscheid, Joachim Böcker
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part II). CoRR (2020)
Daniel Efren Gaona Erazo, Oliver Wallscheid, Joachim Böcker
Improved Fusion of Permanent Magnet Temperature Estimation Techniques for Synchronous Motors Using a Kalman Filter. IEEE Trans. Ind. Electron. 67 (3) (2020)
Maximilian Schenke, Wilhelm Kirchgässner, Oliver Wallscheid
Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept. IEEE Trans. Ind. Informatics 16 (7) (2020)
Sören Hanke, Oliver Wallscheid, Joachim Böcker
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part I). CoRR (2020)
Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning. CoRR (2020)
Marius Stender, Oliver Wallscheid, Joachim Böcker
Development of a Black-Box Two-Level IGBT Three-Phase Inverter Compensation Scheme for Electrical Drives. ISIE (2019)
Oliver Wallscheid, Muhammad Saad Shafiq, Joachim Böcker
Stator Flux-Based Field-Oriented Position-Sensorless Control of Permanent Magnet Synchronous Motors With Limited Parameter Knowledge. ISIE (2019)
Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. CoRR (2019)
Anian Brosch, Sören Hanke, Oliver Wallscheid, Joachim Böcker
Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors. CoRR (2019)
Wilhelm Kirchgässner, Oliver Wallscheid, Joachim Böcker
Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines. ISIE (2019)
Thorsten Vogt, Daniel Weber, Oliver Wallscheid, Joachim Böcker
Prediction of residual power peaks in industrial microgrids using artificial neural networks. IJCNN (2017)
Oliver Wallscheid, Andreas Specht, Joachim Böcker
Observing the Permanent-Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities. IEEE Trans. Ind. Electron. 64 (5) (2017)
Oliver Wallscheid, Wilhelm Kirchgässner, Joachim Böcker
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors. IJCNN (2017)
Oliver Wallscheid, Tobias Huber, Wilhelm Peters, Joachim Böcker
Real-time capable methods to determine the magnet temperature of permanent magnet synchronous motors - A review. IECON (2014)
Wilhelm Peters, Oliver Wallscheid, Joachim Böcker
A precise open-loop torque control for an interior permanent magnet synchronous motor (IPMSM) considering iron losses. IECON (2012)