A Practical Approach for Parameter Identification with Limited Information

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.

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