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Fractional Adaptive Fuzzy Sliding Mode Control Algorithm for Permanent Magnet Synchronous Generators

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Abstract

This paper presents a fractional order robust nonlinear control for variable speed wind energy system equipped with a permanent magnet synchronous generator. The control strategy, which is applied to the generator side converter, combines the Sliding Mode Control method with three adaptive Takagi Sugeno fuzzy systems in the fractional order. The resulting control laws improve the system’s robustness and tracking performance. Fractional Lyapunov function has been used to prove the asymptotic stability of the control system. The comparison of simulation results between the proposed control method and its integer order counterpart, via Matlab / Simulink environment, illustrates the effectiveness of the proposed control approach regarding external disturbances and parametric uncertainties.
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Dates and versions

hal-03312767 , version 1 (02-08-2021)

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Cite

Nawal Ferhat, Tarek Aounallah, Najib Essounbouli, Abdelaziz Hamzaoui, Farid Bouchafaa. Fractional Adaptive Fuzzy Sliding Mode Control Algorithm for Permanent Magnet Synchronous Generators. IEEE International Conference on Control Automation and Diagnosis (ICCAD), Nov 2021, Grenoble, France. ⟨10.1109/ICCAD52417.2021.9638774⟩. ⟨hal-03312767⟩
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