TechRxiv

Anian Brosch

0000-0003-4871-1664

Research Associate (Robotics and Control Systems)

Paderborn, Germany

Anian Brosch received the B.Sc. and M.Sc. degrees in mechanical engineering from the Munich University of Applied Sciences, Germany, in 2016 and 2018, respectively. Since then, he has worked as a Research Associate for the Department of Power Electronics and Electrical Drives, Paderborn University, Germany. His research interests include identification and control of electrical drives, in particular model predictive control of highly utilized permanent magnet synchronous motors.

Publications

  • Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors
  • Model Predictive Control of Permanent Magnet Synchronous Motors in the Overmodulation Region Including Six-Step Operation
  • Torque and Inductances Estimation for Finite Model Predictive Control of Highly Utilized Permanent Magnet Synchronous Motors
  • Transferring Online Reinforcement Learning for Electric Motor Control From Simulation to Real-World Experiments
  • Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems
  • Long-Term Memory Recursive Least Squares Online Identification of Highly Utilized Permanent Magnet Synchronous Motors for Finite-Control-Set Model Predictive Control
  • 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
  • Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent Magnet Synchronous Motors
  • Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Constraints
  • Continuous Control Set Model Predictive Torque Control with Minimum Current Magnitude Criterion for Synchronous Electric Motor Drive
  • Finite Set Sensorless Control With Minimum a Priori Knowledge and Tuning Effort for Interior Permanent-Magnet Synchronous Motors
  • Continuous Control Set Model Predictive Torque Control With Minimum Current Magnitude Criterion for Synchronous Motor Drives
  • Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Limits
  • Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives
  • Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives
  • Insights and Challenges of Co-Simulation-Based Optimal Pulse Pattern Evaluation for Electric Drives

Usage metrics

Co-workers & collaborators

Oliver Wallscheid

Oliver Wallscheid

Mauro Zigliotto

Mauro Zigliotto

Fabio Tinazzi

Padova

Fabio Tinazzi

Tristan Braun

Tristan Braun

Ismaele Diego De Martin

Ismaele Diego De Martin

Anian Brosch's public data