Abstract
In this paper, an adaptive robust discrete RST controller based on Fuzzy Logic Control (FLC) is proposed to obtain strict speed control at high performance despite the existence of external disturbances and system uncertainties for a Permanent Magnet Synchronous Motor (PMSM). First, the dynamics of the PMSM stator current is controlled by the non-linear Backstepping method. Using the PMSM nonlinear model, Lyapunov functions are constructed to ensure asymptotic stability and undisturbed controller is successfully designed by adopting the progressive correction algorithm. Then, an adaptive fuzzy-RST (AF-RST) Speed regulator is proposed and designed to achieve robust and adaptive speed control of the PMSM drive. The proposed technique is based on discrete RST controller associated with the self-tuning technique ensured by fuzzy system processing. An experimental platform using the Dspace1104 controller is built. Experimental tests using conventional PI controllers and AF-RST with Backstepping controllers are carried out to validate the effectiveness of the proposed structure. The test results also verify the robustness and reliability of the proposed control scheme showing that it can be used in practical engineering.
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Toumi, D., Mihoub, Y., Moreau, S., Hassaine, S. (2021). Real Time Implementation of Adaptive Discrete Fuzzy-RST Speed Control and Nonlinear Backstepping Currents Control Techniques for PMSM Drive. In: Hatti, M. (eds) Artificial Intelligence and Renewables Towards an Energy Transition. ICAIRES 2020. Lecture Notes in Networks and Systems, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-030-63846-7_35
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DOI: https://doi.org/10.1007/978-3-030-63846-7_35
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