Robust speed control method for permanent magnet synchronous motor


This study develops a Takagi??Sugeno (T??S) fuzzy model-based sturdy controller which can precisely track a reference trajectory by cancelling out the effects of unknown external noises and parameter uncertainties on a surfacemounted permanent magnet synchronous motor (SPMSM). Furthermore, the speed tracking management algorithm demands the load torque info, so a easy load torque observer is used to estimate it. The soundness of the proposed controller and therefore the load torque observer is mathematically studied. The proposed management theme is executed on a PMSM drive using a digital signal processor (TMS320F28335). Finally, the simulation and experimental results are presented to verify that the proposed methodology achieves a better strong performance, a less steady-state error and a faster dynamic response than the non-linear control method in the presence of unknown external noises and SPMSM parameter uncertainties.

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