Parameter Identification of a PMSG Using a PSO Algorithm Based on Experimental Tests
An accurate model for a permanent magnet synchronous generator (PMSG) is important for the design of a high-performance PMSG control system. The performance of such control systems is influenced by PMSG parameter variations under real operation conditions. In this paper, the electrical paramete...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
College of Engineering, University of Basrah
2010-06-01
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| Series: | Iraqi Journal for Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.org/volums/volume6/IJEEE6PDF/Paper68.pdf |
| Summary: | An accurate model for a permanent magnet synchronous
generator (PMSG) is important for the design of
a high-performance PMSG control system. The performance
of such control systems is influenced by PMSG parameter
variations under real operation conditions. In this paper, the
electrical parameters of a PMSG (the phase resistance, the phase
inductance and the rotor permanent magnet (PM) flux linkage)
are identified by a particle swarm optimisation (PSO) algorithm
based on experimental tests. The advantages of adopting the PSO
algorithm in this research include easy implementation, a high
computational efficiency and stable convergence characteristics.
For PMSG parameter identification, the normalised root mean
square error (NRMSE) between the measured and simulated data
is calculated and minimised using PSO. |
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| ISSN: | 1814-5892 2078-6069 |