Online PMSM Magnet Flux-Linkage Estimation for Rotor Magnet Condition Monitoring Using Measured Speed Harmonics

被引:47
|
作者
Feng, Guodong [1 ]
Lai, Chunyan [1 ]
Mukherjee, Kaushik [2 ]
Kar, Narayan C. [1 ]
机构
[1] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada
[2] Indian Inst Engn Sci & Technol, Dept Elect Engn, Sibpur 711103, Howrah, India
关键词
Encoder; magnet condition monitoring; magnet flux-linkage estimation; permanent magnet synchronous machine (PMSM); speed harmonic; torque harmonic; TORQUE RIPPLE MINIMIZATION; ITERATIVE LEARNING CONTROL; SYNCHRONOUS MACHINES; PARAMETER-IDENTIFICATION; SENSORLESS CONTROL; MOTORS; REDUCTION; OBSERVER; DRIVES;
D O I
10.1109/TIA.2017.2664724
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Rotor magnet flux linkage is critical to monitor the state of the permanent magnet in a permanent magnet synchronous machine (PMSM). This paper proposes a novel online magnet flux-linkage estimation approach by using measured speed harmonics. The proposed approach is based on the PMSM's mechanical equation, so it is not influenced by magnetic saturation, inverter nonlinearity, and changes in machine parameters. The interaction of magnet flux linkage and harmonic current can produce torque harmonic, and thus speed harmonic. Therefore, we explore the use of speed harmonic for magnet flux-linkage estimation. At first, the torque and speed harmonic models are proposed. Then, the mathematical relationship between magnet flux linkage and speed harmonic is developed. Based on this model, a novel magnet flux-linkage estimation approach is proposed, which can eliminate the influence of the cogging torque and spatial harmonics in magnet flux-linkage estimation. The proposed approach is validated on a PMSM drive system under different loads and speeds.
引用
收藏
页码:2786 / 2794
页数:9
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