Accurate brushless doubly fed induction machine (BDFIM) control is considered as a good alternative to traditional generators. Therefore, the knowledge of the parameters accuracy is necessary to design high-performance drives.… Click to show full abstract
Accurate brushless doubly fed induction machine (BDFIM) control is considered as a good alternative to traditional generators. Therefore, the knowledge of the parameters accuracy is necessary to design high-performance drives. In this study, an offline identification method to identify the BDFIM parameters is presented. This study investigates the input signal effects on the accuracy of the identified parameters. The similarity between BDFIM frequency model and the standard induction machine frequency model has been verified by comparing the step responses of the corresponding transfer functions. The obtained results would be a motivation for online identification techniques and BDFIM field-oriented control strategies. The proposed identification method has been validated by performing experimental results.
               
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