Prescribed Performance Control of Double-Fed Induction Generator with Uncertainties

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Abstract

This paper considers the vector control of double-fed induction generator in the presence of uncertainties. An electromagnetic torque controller and a rotor current controller are proposed based on an error transformation technique and a reduced-order extended state observer. Specifically, the error transformation technique is used to achieve the prescribed transient and steady performance. The reduced-order extended state observer is utilized to estimate and compensate for system uncertainties in real time. By using the proposed controllers, the tracking performance of the system is improved. Compared with the full-order extended state observer, the reduced-order extended state observer reduces the adjustment parameters, which renders it easier to implement in practice. The effectiveness of proposed scheme is validated via theoretical analysis and simulations.

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Liu, Y., Li, H., Wu, W., Wang, D., & Peng, Z. (2018). Prescribed Performance Control of Double-Fed Induction Generator with Uncertainties. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11307 LNCS, pp. 3–14). Springer Verlag. https://doi.org/10.1007/978-3-030-04239-4_1

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