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Particle-Filter-Based Magnet Flux Linkage Estimation for PMSM Magnet Condition Monitoring Using Harmonics in Machine Speed
- Source :
- IEEE Transactions on Industrial Informatics. 13:1280-1290
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- For permanent magnet synchronous machines (PMSMs), accurate magnet flux linkage information is critical for permanent magnet condition monitoring and drive performance improvement. This paper proposes a novel particle-filter-based magnet flux linkage estimation approach by using the harmonics in the machine speed. In the proposed approach, the harmonic current is first injected to change the speed harmonics, and the particle filter is then applied to estimate the magnet flux linkage from the speed harmonics. With a proper selection of injected harmonic current, it is capable of simultaneously estimating the magnet flux linkage and reducing the torque ripples as well as the speed ripples. The proposed approach is based on the machine mechanical equation, so it is not influenced by the magnetic saturation, the resistance variation, and the inverter nonlinearity. Specifically, at first, a novel state-space model is developed based on the machine mechanical equation, which models the relation between the magnet flux linkage and the speed harmonic. The state-space model is nonlinear, so the particle filter is employed for a magnet flux linkage estimation. Our particle-filter-based estimation approach is validated on a laboratory PMSM drive system under different loads, speeds, and temperatures.
- Subjects :
- 010302 applied physics
Physics
020208 electrical & electronic engineering
02 engineering and technology
Permanent magnet synchronous generator
01 natural sciences
Flux linkage
Magnetic flux
Computer Science Applications
Harmonic analysis
Control and Systems Engineering
Control theory
Harmonics
Magnet
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Harmonic
Torque
Electrical and Electronic Engineering
Information Systems
Subjects
Details
- ISSN :
- 19410050 and 15513203
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Industrial Informatics
- Accession number :
- edsair.doi...........d8d140ca1cff37cbe3285f4c0073da98