Dual DC current injection‐based stator winding temperature tracking for dual three‐phase permanent magnet synchronous machine using Kalman filter. Issue 11 (23rd May 2019)

• Record Type: Journal Article
• Authors: Li, Ze; Feng, Guodong; Lai, Chunyan; Tian, Jiangbo; Li, Wenlong; Kar, Narayan C.
• Is Part Of: IET electric power applications. Volume 13:Issue 11(2019)
• Page Start: 1726
• Page End: 1733
• Publication Date: 2019-05-23
• Subjects: Kalman filters -- synchronous machines -- motor drives -- invertors -- sensorless machine control -- synchronous motors -- stators -- machine control -- permanent magnet machines -- machine testing -- permanent magnet motors; three‐phase permanent magnet synchronous machine -- Kalman filter -- accurate knowledge -- stator winding temperature tracking -- stator resistance‐based estimation technique -- dual DC signal‐injection‐based method -- voltage‐source inverter nonlinearity effect -- magnetic saturation -- temperature estimation -- laboratory dual three‐phase interior permanent magnet synchronous motor -- dual DC current injection‐based stator winding temperature; Electric power -- Periodicals; Electric power systems -- Periodicals; 621.305
• DOI: 10.1049/iet-epa.2019.0049
• Languages: English
• ISSNs: 1751-8660

Abstract

Abstract : To prevent motor failures caused by thermal overloading, accurate knowledge of stator winding temperature is of significance. The proposed stator winding temperature tracking is a stator resistance‐based estimation technique for dual three‐phase permanent magnet synchronous machines. In the proposed approach, a dual DC signal‐injection‐based method is developed to determine winding temperature accurately, which is capable of cancelling the voltage‐source inverter non‐linearity effect with no interference with torque output. Meanwhile, the proposed method is not affected by magnetic saturation because of no inductance terms involved. The Kalman filter is employed to improve the performance of winding temperature estimation. Moreover, the proposed approach is independent of operating conditions and can be implemented in a standard motor drive with a minimum computational cost. The experimental results validate the proposed approach on a laboratory dual three‐phase interior permanent magnet synchronous motor under various speeds and load conditions.