Search results for "space-vector dynamic model"

showing 5 items of 5 documents

Space‐vector state dynamic model of SynRM considering self‐ and cross‐saturation and related parameter identification

2020

This study proposes a state formulation of the space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) considering both saturation and cross-saturation effects. The proposed model adopts the stator currents as state variables and has been theoretically developed in both the rotor and stator reference frames. The proposed magnetic model is based on a flux versus current approach and relies on the knowledge of 11 parameters. Starting from the definition of a suitable co-energy variation function, new flux versus current functions have been initially developed, based on the hyperbolic functions and, consequently, the static and dynamic inductance versus current functions have be…

010302 applied physicsState variableComputer simulationComputer scienceStatorEstimation theoryRotor (electric)020208 electrical & electronic engineeringHyperbolic function02 engineering and technology01 natural scienceslaw.inventionInductanceError functionSettore ING-INF/04 - AutomaticaControl theorylaw0103 physical sciences0202 electrical engineering electronic engineering information engineeringSynchronous Reluctance Motor (SynRM) Space-vector dynamic model Parameter estimation Magnetic characteristicsElectrical and Electronic EngineeringIET Electric Power Applications
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GA-based Off-Line Parameter Estimation of the Induction Motor Model Including Magnetic Saturation and Iron Losses

2020

This paper, starting from recent papers in the scientific literature dealing with Rotating Induction Motor (RIM) dynamic modelling, as a first step, improves its space-vector dynamic model, including both the magnetic saturation and iron losses; The main original aspects of the proposed model are the following: 1) the magnetic saturation of the iron core has been described on the basis of both current versus flux and flux versus current functions, 3) it includes the iron losses, separating them in hysteresis and eddy current ones, 4) it includes the effect of the load on the magnetic saturation. Afterwards, it proposes an off-line technique for the estimation of electrical parameters of thi…

EngineeringIdentificationMaterials scienceStatorParameter EstimationSpace-vector dynamic model02 engineering and technologylaw.inventionlawControl theoryIron losses0202 electrical engineering electronic engineering information engineeringEddy current0501 psychology and cognitive sciences050107 human factorsMagnetic saturationLeakage inductanceComputer simulationbusiness.industryEstimation theoryrotating induction motor (rim)05 social sciences020207 software engineeringMagnetic hysteresisInduction Motor (IM)Magnetic fluxFinite element methodMagnetic corelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971Induction motor
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Space-vector State Dynamic Model of the SynRM Considering Self, Cross-Saturation and Iron Losses and Related Identification Technique

2023

This article proposes a space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) including both self-saturation, cross-saturation effects, and iron losses. The model is expressed in state form, where the magnetizing current has been selected as a state variable. The proposed dynamic model is based on an original function describing the relationship between the stator flux and the magnetizing current components, improving a previously developed magnetic model. Additionally, the proposed model includes, besides the magnetic saturation, also iron losses. The proposed model requires 11 coefficients, among which 6 describe the self-saturation on both axes and 5 describe the cross-s…

Settore ING-INF/04 - AutomaticaControl and Systems EngineeringSynchronous Reluctance Motor (SynRM) space-vector dynamic model magnetic model iron losses parameters' estimationElectrical and Electronic EngineeringIndustrial and Manufacturing Engineering
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A Space-Vector State Dynamic Model of the Synchronous Reluctance Motor Including Self and Cross-Saturation Effects and its Parameters Estimation

2018

This paper proposes a space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) including both self-saturation and cross-saturation effects and selecting as state variables the stator currents. The proposed dynamic model is based on an original function between the stator flux and stator current components, and relies on 8 coefficients (fewer than other models in the scientific literature), presenting an interesting physical interpretation. Starting from this approach, both the static and dynamic inductances expressions of the model have been analytically developed, so that the reciprocity conditions for the cross saturation is satisfied. This paper presents also a technique fo…

State variableComputer simulationStatorComputer scienceEstimation theorySpace-vector dynamic model05 social sciences020207 software engineering02 engineering and technologylaw.inventionError functionSettore ING-INF/04 - AutomaticalawControl theoryParameters' estimation0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesMinificationSynchronous Reluctance Motor (SynRM)Magnetic characteristicsSynchronous reluctance motorSaturation (magnetic)050107 human factors2018 IEEE Energy Conversion Congress and Exposition (ECCE)
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Space-vector State Dynamic Model of the Synchronous Reluctance Motor Considering Self, Cross-Saturation and Iron Losses

2021

This paper proposes a space-vector dynamic model of the Synchronous Reluctance Motor (SynRM) including both self-saturation, cross-saturation effects, and iron losses expressed in state form, where the magnetizing current has been selected as a state variable. The proposed dynamic model is based on an original function between the stator flux and the magnetizing current components, improving a previously developed magnetic model. Additionally, the proposed model includes, besides the magnetic saturation, also iron losses. The proposed model requires 11 coefficients, among which 6 describe the self-saturation on both axes and 5 describe the cross-saturation. Starting from the definition of a…

State variablemagnetic modelComputer simulationEstimation theoryStatorFunction (mathematics)parameters' estimationMagnetic fluxlaw.inventionError functionSettore ING-INF/04 - AutomaticaControl theorylawIron lossesReciprocity (electromagnetism)space-vector dynamic modelSynchronous Reluctance Motor (SynRM)Mathematics
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