Flux Linkage Tracking based Permanent Magnet Temperature Hybrid Modeling and Estimation for PMSMs with Data-Driven based Core Loss Compensation

Author:

Huang Kaide1ORCID,Ding Beichen2ORCID,Lai Chunyan3ORCID,Feng Guodong4ORCID

Affiliation:

1. School of Mathematics and Big Data, Foshan University, Foshan, China

2. School of Advanced Manufacturing, Sun Yat-sen University, Shenzhen, China

3. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

4. School of Intelligent Systems Engineering, Sun Yat-sen University,, Shenzhen, China

Funder

National Natural Science Foundation of China

Research Fund of Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Application of Artificial Intelligence-Based Technique in Electric Motors: A Review;IEEE Transactions on Power Electronics;2024-10

2. Differential Model-Based Parameter Estimation of IPMSMs From Multi-State Measurements;IEEE Transactions on Magnetics;2024-09

3. Hybrid Thermal Modeling With LPTN-Informed Neural Network for Multinode Temperature Estimation in PMSM;IEEE Transactions on Power Electronics;2024-09

4. Differential Model based Parameter Estimation of IPMSMs from Multi-state Measurements;2024 IEEE International Magnetic Conference - Short papers (INTERMAG Short papers);2024-05-05

5. Data-Driven Modeling and Compensation Strategy of PMSM Considering Core Loss and Saturation;IEEE Journal of Emerging and Selected Topics in Power Electronics;2024-04

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