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Parameter Identification of a PMSG Using a PSO Algorithm Based on Experimental Tests | ||
| Iraqi Journal for Electrical And Electronic Engineering | ||
| Article 1, Volume 6, Issue 1, 2010, Pages 39-44 PDF (0 K) | ||
| DOI: 10.33762/eeej.2010.54343 | ||
| Authors | ||
| A. J. Mahdi; W. H. Tang; Q. H. Wu | ||
| Abstract | ||
| 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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