Abstract
SRM drives might be used in distant viable applications owing to their simplicity and low cost. In this paper, the SRM Drive is described as that which is used for fuzzy modeling, estimation, prediction and control. A fuzzy-logic-based model is constructed from both static and real-time motor data, and from this model the rotor position is estimated and controlled. The system also incorporates fuzzy logic-based methods to provide a high robustness against noise. In addition, the method uses heuristic knowledge to choose the most desirable phase for angle estimation in order to minimize the effect of feedback error. It is also shown that, by using fuzzy logic, the drive control scheme offers a high robustness and reliability and be suited to a wide range of applications. Simulation results are presented to verify the proposed scheme by using in simulink /mat lab.
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