Permanent Magnet Temperature Estimation for PMSMs Using Virtual Position-offset Injection

作     者：Beichen Ding Yuting Lu Kaide Huang Guodong Feng Chunyan Lai Beichen Ding;Yuting Lu;Kaide Huang;Guodong Feng;Chunyan Lai

作者机构：IEEE the School of Intelligent Systems EngineeringSun Yat-sen UniversityShenzhen 518107China the Fosan UniversityFoshan 528225China the Department of Electrical and Computer EngineeringConcordia UniversityQCCanada 

出 版 物：《CES Transactions on Electrical Machines and Systems》 (中国电工技术学会电机与系统学报（英文）)

年 卷 期：2024年第8卷第1期

页      面：51-60页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

基　　金：supported in part by the National Natural Science Foundation of China under Grant 52105079 and 62103455 

主　　题：PMSM Magnet temperature estimation Virtual position offset injection Inverter nonlinearity 

摘      要：This paper proposes a virtual position-offset injection based permanent magnet temperature estimation approach for permanent magnet synchronous machines(PMSMs). The concept of virtual position-offset injection is mathematically transforming the machine model to a virtual frame with a position-offset. The virtual frame temperature estimation model is derived to calculate the permanent magnet temperature(PMT) directly from the measurements with computation efficiency. The estimation model involves a combined inductance term, which can simplify the establishment of saturation compensation model with less measurements. Moreover, resistance and inverter distorted terms are cancelled in the estimation model, which can improve the robustness to the winding temperature rise and inverter distortion. The proposed approach can achieve simplified computation in temperature estimation and reduced memory usage in saturation compensation. While existing model-based approaches could be affected by either the need of resistance and inverter information or complex saturation compensation. Experiments are conducted on the test machine to verify the proposed approach under various operating conditions.