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Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges

IEEE open journal of industry applications, 2021, Vol.2, p.204-223

Wallscheid, Oliver

2021

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

IEEE open journal of the Industrial Electronics Society, 2021, Vol.2, p.388-400

2021

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Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends

IEEE open journal of industry applications, 2023, Vol.4, p.188-214

2023

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Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation

IEEE open journal of industry applications, 2021, Vol.2, p.47-63

2021

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Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Limits

IEEE open journal of the Industrial Electronics Society, 2023, Vol.4, p.643-658

2023

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Pseudolabeling Machine Learning Algorithm for Predictive Maintenance of Relays

IEEE open journal of the Industrial Electronics Society, 2023, Vol.4, p.463-475

2023

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Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems

IEEE open journal of industry applications, 2022, Vol.3, p.66-78

2022

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

IEEE open journal of power electronics, 2021, Vol.2, p.187-201

2021

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Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors

IEEE transactions on power electronics, 2021-02, Vol.36 (2), p.2179-2190

2021

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Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments

IEEE access, 2021, Vol.9, p.35654-35669

2021

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Estimating Electric Motor Temperatures With Deep Residual Machine Learning

IEEE transactions on power electronics, 2021-07, Vol.36 (7), p.7480-7488

2021

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

IEEE transactions on power electronics, 2023-11, Vol.38 (11), p.1-16

2023

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

IEEE transactions on power electronics, 2023-07, Vol.38 (7), p.8062-8074

2023

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Global Identification of a Low-Order Lumped-Parameter Thermal Network for Permanent Magnet Synchronous Motors

IEEE transactions on energy conversion, 2016-03, Vol.31 (1), p.354-365

2016

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Investigation of Disturbance Observers for Model Predictive Current Control in Electric Drives

IEEE transactions on power electronics, 2020-12, Vol.35 (12), p.13563-13572

2020

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Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control

IEEE transactions on power electronics, 2023-02, Vol.38 (2), p.1-17

2023

Volltextzugriff (PDF)

Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors With Supervised Machine Learning: A Benchmark

IEEE transactions on energy conversion, 2021-09, Vol.36 (3), p.2059-2067

2021

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Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control

IEEE transaction on neural networks and learning systems, 2022-03, Vol.33 (3), p.919-928

2022

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Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer

IEEE transactions on power electronics, 2021-11, Vol.36 (11), p.13261-13274

2021

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Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors

IEEE transactions on industrial informatics, 2021-12, Vol.17 (12), p.8080-8091

2021

Volltextzugriff (PDF)

Observing the Permanent-Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities

IEEE transactions on industrial electronics (1982), 2017-05, Vol.64 (5), p.3921-3929

2017

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Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

IEEE transactions on power electronics, 2023-04, Vol.38 (4), p.4391-4404

2023

Volltextzugriff (PDF)

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints

IEEE transactions on power electronics, 2023-07, Vol.38 (7), p.7945-7957

2023

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

IEEE transactions on industrial informatics, 2020-07, Vol.16 (7), p.4650-4658

2020

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Thermal Monitoring of Electric Motors: State-of-the-Art Review and Future Challenges

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

Steady-State Error Compensation for Reinforcement Learning-Based Control of Power Electronic Systems

Machine Learning for the Control and Monitoring of Electric Machine Drives: Advances and Trends

Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Limits

Pseudolabeling Machine Learning Algorithm for Predictive Maintenance of Relays

Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems

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

Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors

Safe Bayesian Optimization for Data-Driven Power Electronics Control Design in Microgrids: From Simulations to Real-World Experiments

Estimating Electric Motor Temperatures With Deep Residual Machine Learning

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

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

Global Identification of a Low-Order Lumped-Parameter Thermal Network for Permanent Magnet Synchronous Motors

Investigation of Disturbance Observers for Model Predictive Current Control in Electric Drives

Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control

Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors With Supervised Machine Learning: A Benchmark

Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control

Accurate Torque Control for Induction Motors by Utilizing a Globally Optimized Flux Observer

Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors

Observing the Permanent-Magnet Temperature of Synchronous Motors Based on Electrical Fundamental Wave Model Quantities

Model Predictive Torque Control for Permanent- Magnet Synchronous Motors Using a Stator- Fixed Harmonic Flux Reference Generator in the Entire Modulation Range

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors Considering Current and Torque Constraints

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

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