2011 · 23 citations · 19 references
EngineeringElectrical EngineeringArtificial IntelligenceElectric MachinesPower ElectronicsDirect Current MachinesElectric DrivesElectric Motor Drive SystemsElectric Motor DrivesPermanent Magnet MachinesSynchronous MachinesDirect Torque ControlEstimation ErrorNeural Network ControlPermanent Magnet Synchronous MachinesPermanent Magnet Synchronous Motor DrivesPermanent Magnet Synchronous MotorsTorque RippleTorque Ripple Reduction
In this paper, we propose an approach intelligent artificial technique for improvement of Direct Torque Control (DTC) of Permanent Magnet Synchronous Motor such as artificial neural network (ANN), applied in switching select voltage vector and estimator flux and torque. This intelligent technique was used to replace, on the one hand the conventional comparators and the switching table in order to reduce torque ripple, flux and stator current. The effect of the speed estimation error is analyzed, and the stability proof of the control system is also proved. The simulations results are presented to show the validity and efficiency of the proposed system.
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