Signal injection method without torque ripple for stator winding temperature estimation of surface-mounted PMSM drive sy
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ORIGINAL ARTICLE
Signal injection method without torque ripple for stator winding temperature estimation of surface‑mounted PMSM drive systems Jie Fang1,2 · Shichuan Ding3 · Yining Sun4 · Jun Hang5 Received: 14 May 2020 / Revised: 1 September 2020 / Accepted: 3 September 2020 © The Korean Institute of Power Electronics 2020
Abstract A signal injection method without torque ripple is presented to estimate the stator winding temperature of a surface-mounted permanent magnet synchronous machine (PMSM), where the temperature is estimated based on the stator resistance. First, the current signal (Δid*) is injected into the current control loop to produce DC current offsets used to calculate the stator resistance, where the injected signal cannot lead to extra torque ripple. Then the temperature can be obtained based on the relationship between the stator winding temperature and the stator resistance. Finally, the proposed method is validated by simulation and experimental results. In addition, no extra equipment is needed for the proposed method. Keywords Thermal monitoring · Signal injection · Stator resistance · Permanent magnet synchronous machine
1 Introduction In recent years, the permanent magnet synchronous machine (PMSM) has become popular owing to its advantages of high power density and high efficiency [1–3]. However, the operation reliability of a PMSM is related to its internal temperature. When the internal temperature exceeds its limited value, degradation of the stator winding insulation accelerates, which results in a great deal of harm to the electrical machine [4]. Hence, it is important to estimate the stator winding temperature of a PMSM to monitor and predict its condition, which prevents the PMSM overheating. A considerable amount of research has been published on the temperature estimation of PMSMs. These studies can be roughly divided into three kinds of thermal monitoring * Jun Hang [email protected] 1
School of Electronics and Information Engineering, Anhui University, Hefei, China
2
School of Computer Science and Technology, Anhui University, Hefei, China
3
School of Electronic Engineering and Automation, Anhui University, Hefei, China
4
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, China
5
Shenzhen Research Institute, Southeast University, Shenzhen, China
methods, namely direct measurement methods, parameterbased methods and thermal-model-based methods [5]. Direct measurement methods are based on the embedded sensors. These methods have high accuracy. However, these methods require extra equipment and increase the overall system cost. The temperature is estimated by an equivalent thermal circuit for thermal-model-based methods [6–9]. Nevertheless, these methods are quite complicated and cannot be used for different electric machines. The stator temperature is calculated based on the stator resistance for parameter-based methods [10], where the stator resistance is estimated based on the electric model of the machine. However, variations of th
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