Abstract
A practical parameter estimation procedure for a real excitation system is reported in this paper. The core algorithm is based on genetic algorithm (GA) which estimates the parameters of a real AC brushless excitation system with limited information about the system. Practical considerations are integrated in the estimation procedure to reduce the complexity of the problem. The effectiveness of the proposed technique is demonstrated via real measurements. Besides, it is seen that GA can converge to a satisfactory solution even when starting from large initial variation ranges of the estimated parameters. The whole methodology is described and the estimation strategy is presented in this paper.
G. Yang and J. Østergaard is with Centre for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, DK. L. Zeni is with Department of Wind Energy, Technical University of Denmark, 4000 Roskilde, DK. G. C. Tarnowski is with Vestas Wind Systems and Centre for Electric Technology, Department of Electrical Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, DK.
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Zeni, L., Yang, G., Tarnowski, G.C., Østergaard, J. (2014). A Practical Approach for Parameter Identification with Limited Information. In: Ali, M., Pan, JS., Chen, SM., Horng, MF. (eds) Modern Advances in Applied Intelligence. IEA/AIE 2014. Lecture Notes in Computer Science(), vol 8482. Springer, Cham. https://doi.org/10.1007/978-3-319-07467-2_19
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DOI: https://doi.org/10.1007/978-3-319-07467-2_19
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