Search results for "Parameters' estimation"

showing 5 items of 5 documents

A Saturation Model of the Synchronous Reluctance Motor and its Identification by Genetic Algorithms

2018

This paper proposes a complete saturation model of the Synchronous Reluctance Motor (Syn1231), accounting for both the self-saturation and cross-saturation effects. This model is based on an analytical relationship between the stator flux and current components, and is characterized by parameters presenting an interesting physical interpretation, differently from many other saturation model in the scientific literature. It proposes also an identification technique of such a model based on stand-still tests, without the need of locking the rotor. The proposed saturation model permits the complete description of the magnetic behaviour of the machine with 8 parameters, fewer than those require…

IdentificationComputer simulationComputer scienceStator05 social sciences020207 software engineering02 engineering and technologylaw.inventionSettore ING-INF/04 - AutomaticaControl theorylawMagnetic characteristicParameters' estimationGenetic algorithm0202 electrical engineering electronic engineering information engineeringSuperimposition0501 psychology and cognitive sciencesMagnetic characteristicsSynchronous Reluctance Motor (SynRM)Synchronous 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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Adaptive feedback linearizing control of linear induction motor considering the end-effects

2016

This paper proposes an input-output feedback linearization techniques for linear induction motors, taking into consideration the dynamic end-effects. As a main original content, this work proposes a new control law based on the on-line estimation of the induced-part time constant. The estimation law is obtained thanks to a Lyapunov based analysis and thus the stability of the entire control system, including the estimation algorithm, is intrinsically guaranteed. Moreover, with such an approach even the on-lihe variation of the induced-part time constant with the speed is retrieved, thus improving the behavior of previously developed approaches where such a variation vs. speed is considered …

Lyapunov function0209 industrial biotechnologyEngineeringLinear induction motorStability (learning theory)02 engineering and technologyAdaptive systemsParameters' estimation.symbols.namesake020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryAdaptive system0202 electrical engineering electronic engineering information engineeringFeedback linearizationFeedback linearizationElectrical and Electronic Engineeringbusiness.industryApplied Mathematics020208 electrical & electronic engineeringTime constantControl engineeringEnd-effectsEnd-effectComputer Science ApplicationsControl and Systems EngineeringParameters' estimationControl systemLinear induction motorsymbolsA priori and a posterioriAdaptive systembusinessControl Engineering Practice
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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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