Abstract
Due to the low maintenance cost and high reliability, brushless doubly fed induction generator (BDFIG) has great potential in remote stand-alone applications. For good dynamic performance, the feedforward compensation is used in the BDFIG system. However, its performance highly depends on machine parameters and rotor angle, and thus complicated parameter measurements or estimations are required. To overcome this problem, this paper proposes an adaptive control system, in which the required feedforward parameters such as compensation coefficients and the transformation angle can be identified online by fully utilizing the control action of the inner loops. With the proposed system, precise machine parameters are needless and the encoder can also be canceled, and therefore the overall system becomes more cost-efficient and robust. Detailed analysis and designs of the adaptive control and identification are given in this paper. Experimental results from a BDFIG prototype prove the feasibility and effectiveness of the proposed system.
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