0000000000305474

AUTHOR

Maurizio (2) Pucci

showing 4 related works from this author

State Space-Vector Model of Linear Induction Motors Including Iron Losses: Part II: Model Identification and Results

2018

This is the second part of a paper, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear Induction motor (LIM) taking into consideration both the dynamic end-effects and the iron losses as well as the off-line identification of its parameters. The first part has treated the theoretical framework of the model. This second part is devoted to the description of an identification technique which has been suitably developed for the estimation of the parameters of the LIM dynamic model accounting for both the dynamic end-effects and iron losses, described in the first part of the paper. Such an identification technique is strictly related to the state …

State modelLinear Induction Motor (LIM)Computer scienceSystem identificationState ModelState (functional analysis)Function (mathematics)End-effectsFinite element methodEnd-effectIdentification (information)Settore ING-INF/04 - AutomaticaControl theoryLinear induction motorState spaceSpace-vector2018 IEEE Energy Conversion Congress and Exposition (ECCE)
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State Space-Vector Model of Linear Induction Motors Including End-effects and Iron Losses - Part II: Model Identification and Results

2020

This is the second part of an article, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear induction motor (LIM) taking into consideration both the dynamic end-effects and the iron losses as well as the offline identification of its parameters. This second part is devoted to the description of an identification technique that has been suitably developed for the estimation of the electrical parameters of the LIM dynamic model accounting for both the dynamic end-effects and iron losses. Such an identification technique is strictly related to the state formulation of the proposed model and exploits genetic algorithms for minimizing a suitable cost …

Computer scienceidentification techniquelinear 22 induction motor (LIM)020208 electrical & electronic engineeringSystem identification020302 automobile design & engineering02 engineering and technologyFunction (mathematics)Industrial and Manufacturing EngineeringFinite element methodEnd-effectsEnd-effectIdentification (information)0203 mechanical engineeringSettore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryLinear induction motor0202 electrical engineering electronic engineering information engineeringState spacelinear induction motor (LIM)State (computer science)Electrical and Electronic Engineeringparameter estimationInduction motor
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State Space-Vector Model of Linear Induction Motors including End-Effects and Iron Losses Part I: Theoretical Analysis

2020

This is the first part of the article, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear induction motor (LIM) taking into consideration both the dynamic end-effects and the iron losses and its offline identification. This first part specifically treats the theoretical formulation of this model, which has been expressed in a state form, so to be, in perspective, suitably adopted for developing novel nonlinear control techniques, nonlinear observers as well as electrical losses minimization techniques. Besides the formulation of the dynamic model in space-vector state form, a steady-state analysis is proposed, highlighting the combined effects …

Computer sciencestate modelend-effectsNonlinear controlIndustrial and Manufacturing EngineeringMagnetic fluxEnd-effectIdentification (information)Nonlinear systemPerspective (geometry)Settore ING-INF/04 - AutomaticaControl and Systems EngineeringControl theoryLinear induction motorspace vectorState spacelinear induction motor (LIM)MinificationElectrical and Electronic Engineering
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State Space-Vector Model of Linear Induction Motors Including Iron Losses Part I: Theoretical Analysis

2018

This is the first part of a paper, divided into two parts, dealing with the definition of a space-vector dynamic model of the linear Induction motor (LIM) taking into consideration both the dynamic end-effects and the iron losses and its off-line identification. This first part specifically treats the theoretical formulation of this model, which has been expressed in a state form, so to be, in perspective, suitably adopted for developing novel non linear control techniques, non-linear observers as well as electrical losses minimization techniques (ELMTs). Besides the formulation of the dynamic model in space-vector state form, a steady-state analysis is proposed, highlighting the combined e…

State modelEnd effectLinear Induction Motor (LIM)Computer scienceState ModelEnd-effectsEnd-effectIdentification (information)Perspective (geometry)State formSettore ING-INF/04 - AutomaticaControl theoryLinear induction motorState spaceMinificationSpace-vector
researchProduct