Fuzzy Position Controller for an Axial Flux Variable Reluctance PM Motor

Abstract This paper proposes a path-tracking fuzzy logic-based controller for the rotor position control in an axial flux (AF) variable reluctance (VR) permanent magnet (PM) motor. The proposed fuzzy position controller needs only the rotor position, which can be easily measured, to compute the control law. Using rotor position information in conjunction with the proposed fuzzy position controller, the motor can be electronically commutated and driven, i.e., the proposed fuzzy position controller is eliminating the need for an electronic commutator between the phases. Moreover, the proposed fuzzy position controller is not limited to a certain number of stator coils or rotor poles. Rather, it can be extended to various combinations of stator coils and rotor poles with proper modifications in the fuzzy rule bases and inclusion of additional fuzzy modules. The fuzzy position controller is tested in simulation and the results are presented to illustrate the effectiveness of the proposed controller. Additional simulations investigate the robustness of the proposed fuzzy position controller to change in motor parameters. It is found that the proposed fuzzy position controller is robust to changes in a variety of motor parameters. In addition, the performance of the motor with the proposed fuzzy position controller is compared to the performance of the motor controlled with a PI controller. It is found that the motor with the proposed fuzzy position controller can provide better performance than the motor with the PI controller.

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