IEEE Transactions on Power Electronics · 2023 · 67 citations · 15 references
EngineeringElectrical EngineeringMechanical EngineeringMotor ControlOptimizationPower ElectronicsControl SystemsControl TheoryElectric Motor DrivesModel Predictive ControlOptimal ControlSwitched Reluctance MachinesFlux LinkageForce SharingReluctance MachinesRipple ReductionSharing FunctionsSwitched Reluctance MotorsTorque Ripple MinimizationTorque Ripple Reduction
Although the torque and radial force ripples are two important causes of unwelcomed vibration in switched reluctance machines, the suppression of these ripples is usually contradictory. To address this issue, we propose a model predictive torque and force control (MPT&FC) method. First, the torque and force sharing functions are constructed based on the flux-linkage curve, following which the sharing functions are optimized online by tuning the turn- <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</small> angle to minimize the torque and force ripple. Finally, the MPT&FC method is applied to complete the sharing function tracking control. For balanced control of the torque and radial force, we optimize the candidate-voltage-vector table. Experiments were done on a three-phase 12/8 switched reluctance machine to verify that the proposed method suppresses vibrations.
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