Improved Performance for PMSM Control Based on Robust Controller and Reinforcement Learning
Author:
Affiliation:
1. National Institute for Research, Development and Testing in Electrical Engineering - ICMET Craiova,Research Department,Craiova,Romania
2. University of Craiova,Department of Automation and Electronics,Craiova,Romania
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9931693/9931760/09931844.pdf?arnumber=9931844
Reference20 articles.
1. Improved Performance of Sensorless Control for PMSM Based on Neuro-fuzzy Speed Controller
2. Electrolytic Capacitor-Less PMSM Control System With a Neural Network-Based Bus Voltage Fluctuation Suppression Strategy
3. Tuning of PI Speed Controller for PMSM Control System Using Computational Intelligence
4. Improvement of PMSM Control Using Reinforcement Learning Deep Deterministic Policy Gradient Agent
5. Robust Control of PMSM Using Geometric Model Reduction and $\mu$-Synthesis
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1. Experimental Implementation of a TD3 Agent Based Speed Controller for Direct Torque Control of PMSM Drives;IETE Journal of Research;2024-09
2. IPMSM Control System Based on Maximum Torque Per Ampere Strategy;2024 6th Global Power, Energy and Communication Conference (GPECOM);2024-06-04
3. Delay Compensation in the PMSM Control System by Using Predictive-PI Controller;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16
4. Improvement Performances of Sensorless Control for PMSM Based on FOC Strategy Using MRAS Observer, Ant Colony Optimization, and RLTD3 Agent;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19
5. Improved Performance for PMSM Sensorless Control Based on Robust-Type Controller, ESO-Type Observer, Multiple Neural Networks, and RL-TD3 Agent;Sensors;2023-06-21
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