6533b86ffe1ef96bd12ce908

RESEARCH PRODUCT

Characterization of the parameters of interior permanent magnet synchronous motors for a loss model algorithm

A. O. Di TommasoC. NevolosoFabio ViolaCiro SpataroMassimo CarusoRosario Miceli

subject

Statistics and ProbabilityEngineering3304020209 energyCondensed Matter Physic02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciControl theoryComponent (UML)0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringInstrumentationPermanent magnet synchronous motorInterior permanent magnet synchronous motorSpeed control drive systembusiness.industryApplied Mathematics020208 electrical & electronic engineeringInterior permanent magnet synchronous motors; Power loss minimization; Speed control drive systems; Statistics and Probability; 3304; Condensed Matter Physics; Applied MathematicsCondensed Matter PhysicsPower loss minimizationCharacterization (materials science)Power (physics)Settore ING-IND/31 - ElettrotecnicaMotor efficiencySynchronous motorbusinessSettore ING-INF/07 - Misure Elettriche E ElettronicheAlgorithm

description

Abstract The paper provides the results of a detailed experimental study on the variations of the characteristics of an interior permanent magnet synchronous motor, when load, speed and/or magnetization conditions vary. In particular, the characterization is carried out by assessing, for several working conditions, the motor parameters that influence its efficiency. From the knowledge of the variability of these parameters, it is possible to develop a dynamic model of the motor, which accurately describes its behaviour and allows estimating the power losses for whatever speed and load. In order to validate the model, the values of the power losses obtained by using the model are compared with the values measured with experimental tests. The study shows that it is possible to maximize the motor efficiency just acting on the direct axis current component and, therefore, it can be considered a first step towards the definition of a loss model algorithm for a control drive system able to minimize in real-time the power losses of the motor.

https://doi.org/10.1016/j.measurement.2017.04.039