Stator flux optimization on direct torque control with fuzzy logic
This work addresses torque ripple reduction in DTC drives for industrial applications, but it is incremental as it builds on existing DTC methods with a fuzzy logic optimization.
The paper tackles the problem of torque ripple in Direct Torque Control (DTC) drives by proposing a fuzzy logic-based stator flux optimization technique that self-regulates flux reference based on load conditions without requiring motor parameters. Simulation results show improved performance, with torque ripple greatly reduced, especially at low-load conditions.
The Direct Torque Control (DTC) is well known as an effective control technique for high performance drives in a wide variety of industrial applications and conventional DTC technique uses two constant reference value: torque and stator flux. In this paper, fuzzy logic based stator flux optimization technique for DTC drives that has been proposed. The proposed fuzzy logic based stator flux optimizer self-regulates the stator flux reference using induction motor load situation without need of any motor parameters. Simulation studies have been carried out with Matlab/Simulink to compare the proposed system behaviors at vary load conditions. Simulation results show that the performance of the proposed DTC technique has been improved and especially at low-load conditions torque ripple are greatly reduced with respect to the conventional DTC.