Oliver Wallscheid
Orcid: 0000-0001-9362-8777
According to our database1,
Oliver Wallscheid
authored at least 32 papers
between 2012 and 2024.
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Bibliography
2024
HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores.
CoRR, 2024
2023
ElectricGrid.jl - A Julia-based modeling and simulation tool for power electronics-driven electric energy grids.
J. Open Source Softw., September, 2023
Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning.
Eng. Appl. Artif. Intell., 2023
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning.
CoRR, 2023
Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems.
IEEE Access, 2023
2022
Controller Design for Electrical Drives by Deep Reinforcement Learning - a Proof of Concept (Supplementary Material).
Dataset, May, 2022
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.
IEEE Trans. Neural Networks Learn. Syst., 2022
Steady-State Error Compensation in Reference Tracking and Disturbance Rejection Problems for Reinforcement Learning-Based Control.
CoRR, 2022
Adaptive Operating Strategy for Induction Motors Under Changing Electrical-Thermal Conditions.
Proceedings of the IECON 2022, 2022
2021
Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors.
IEEE Trans. Ind. Informatics, 2021
Comparison of Gray-Box and Black-Box Two-Level Three-Phase Inverter Models for Electrical Drives.
IEEE Trans. Ind. Electron., 2021
gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems.
J. Open Source Softw., 2021
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning.
CoRR, 2021
Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments.
IEEE Access, 2021
Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor.
Proceedings of the IECON 2021, 2021
2020
Controller Design for Electrical Drives by Deep Reinforcement Learning: A Proof of Concept.
IEEE Trans. Ind. Informatics, 2020
Improved Fusion of Permanent Magnet Temperature Estimation Techniques for Synchronous Motors Using a Kalman Filter.
IEEE Trans. Ind. Electron., 2020
OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.
J. Open Source Softw., 2020
Towards a Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control.
CoRR, 2020
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part I).
CoRR, 2020
Data Set Description: Identifying the Physics Behind an Electric Motor - Data-Driven Learning of the Electrical Behavior (Part II).
CoRR, 2020
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning.
CoRR, 2020
2019
Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors.
CoRR, 2019
Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control.
CoRR, 2019
Stator Flux-Based Field-Oriented Position-Sensorless Control of Permanent Magnet Synchronous Motors With Limited Parameter Knowledge.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Development of a Black-Box Two-Level IGBT Three-Phase Inverter Compensation Scheme for Electrical Drives.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
Empirical Evaluation of Exponentially Weighted Moving Averages for Simple Linear Thermal Modeling of Permanent Magnet Synchronous Machines.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019
2017
Observing the Permanent-Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities.
IEEE Trans. Ind. Electron., 2017
Investigation of long short-term memory networks to temperature prediction for permanent magnet synchronous motors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Prediction of residual power peaks in industrial microgrids using artificial neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2014
Real-time capable methods to determine the magnet temperature of permanent magnet synchronous motors - A review.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014
2012
A precise open-loop torque control for an interior permanent magnet synchronous motor (IPMSM) considering iron losses.
Proceedings of the 38th Annual Conference on IEEE Industrial Electronics Society, 2012