An Optimization Approach to Variable Reluctance Resolver
Longfei Xiao, Zheng Li, Chao Bi
Abstract
An approach for optimizing the rotor shape of a variable reluctance (VR) resolver is presented. In the optimization, the shape of the rotor is described with Fourier series. The Taguchi optimization method, combined with a finite-element method (FEM), is used to calculate the value of the objective function of the VR resolver and make the error of the angular position of the VR resolver to be minimum. The VR resolver with three-pole pairs is used as an example to show the effectiveness of the optimization approach.
Topics & Concepts
ResolverMagnetic reluctanceRotor (electric)Computer scienceFinite element methodPosition (finance)Fourier seriesControl theory (sociology)Taguchi methodsReluctance motorSwitched reluctance motorPhysicsEngineeringMathematicsMagnetMechanical engineeringArtificial intelligenceMathematical analysisMachine learningEconomicsFinanceControl (management)ThermodynamicsSensor Technology and Measurement SystemsAdvanced Sensor Technologies ResearchScientific Measurement and Uncertainty Evaluation