Design of an Adaptive Neuro-Fuzzy Sensorless Controller for Permanent Magnet Synchronous Motor

Abstract :

In this paper, the design of an adaptive neuro-fuzzy sensorless controller for a permanent magnet synchronous motor is proposed. The proposed controller includes a fuzzy logic controller part and a radial basis function neural network parameter adjuster adapted to changes in the system operating conditions. In other words, the proposed controller can adjust itself based on the system operating conditions and lead to an optimal response for the system. For sensorless control of a permanent magnet synchronous motor, a sliding mode observer and a phase-locked loop are used in an integrated manner to allow estimation of the rotor position and speed. In order to eliminate the error of the estimator and also the phase-locked loop at the beginning of the rotor operation, an I-f control strategy is used. This strategy will cause a smooth transition of torque-speed from the startup stage to the sensorless control stage. To demonstrate the effectiveness of the proposed control strategy, a simulation of a permanent magnet synchronous motor in the presence of the proposed controller was performed in the MATLAB software environment and its results were analyzed.

References:

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