Reinforcement Learning-Based Feedforward Compensation Control in PMSM-Reference-Cited by-同舟云学术

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Reinforcement Learning-Based Feedforward Compensation Control in PMSM

Published:2023-12-07 Issue: Volume:31 Page:1-4
ISSN:
Container-title:2023 IEEE 6th Student Conference on Electric Machines and Systems (SCEMS)
language:
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Author:

Peng Yuyang¹,Luo Xiang¹,Wu Zongxiu²,Liu Chuang³,Li Longfei³

Affiliation:

1. Shanghai Jiao Tong University,Dept.Electrical Engineering,Shanghai,China

2. Shanghai Jiao Tong University,Dept. State Key Laboratory of Ocean Engineering,Shanghai,China

3. Kunming Shipbuilding Equipment Research and Test Center,Dept. Ship and Ocean Engineering,Kunming,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10379197/10379202/10379284.pdf?arnumber=10379284

Reference6 articles.

1. Flux-Regulation Principle and Performance Analysis of a Novel Axial Partitioned Stator Hybrid-Excitation Flux-Switching Machine Using Parallel Magnetic Circuit

2. Design, Analysis, and Experimental Validation of a Permanent Magnet Synchronous Motor for Articulated Robot Applications

3. Research on a six-phase permanent magnet synchronous motor system at dual-redundant and fault tolerant modes in aviation application

4. Model Predictive Current Control With Model-Aid Extended State Observer Compensation for PMSM Drive

5. Simplified Finite Control Set-Model Predictive Control for Matrix Converter-Fed PMSM Drives

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