Search results for "Field oriented control"

showing 10 items of 14 documents

Maximum Torque Per Ampere control algorithm for low saliency ratio interior permanent magnet synchronous motors

2017

This paper presents an investigation on the comparison between the Maximum Torque Per Ampere (MTPA) and the Field Orientation Control (FOC) algorithms for interior permanent magnet synchronous machines (IPMSMs). In particular, this study was carried out on a small-power IPMSM with low salience ratio. Both control algorithms have been implemented in the Matlab/Simulink environment, obtaining promising results.

010302 applied physicsControl algorithmMaximum torque per ampere control algorithmPermanent magnet synchronous motorComputer scienceRenewable Energy Sustainability and the Environment020208 electrical & electronic engineeringEnergy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciencesField oriented control algorithmField orientationSalience (neuroscience)Control theoryMagnet0103 physical sciences0202 electrical engineering electronic engineering information engineeringInterior permanent magnet synchronous machineMATLABAmperecomputerMaximum torquecomputer.programming_language
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Experimental comparison of two control algorithms for low-saliency ratio interior permanent magnet synchronous motors

2018

In this paper, an experimental investigation on the comparison between the Maximum Torque Per Ampere (MTPA) and the Field Orientation Control (FOC) algorithms for interior permanent magnet synchronous machines (IPMSMs) is described, analyzed and discussed. This investigation was carried out on a small-power IPMSM with low saliency ratio. More in detail, after a previous simulation study, the control techniques have been experimentally implemented and validated through means of a dSPACE® rapid prototyping system. The performances of the two algorithms have been evaluated and compared, obtaining interesting results.

010302 applied physicsRapid prototypingControl algorithmElectromagneticsPermanent magnet synchronous motorComputer scienceRenewable Energy Sustainability and the Environment020208 electrical & electronic engineeringlow saliency ratio motor02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciencesField oriented control algorithmmaximum torque per ampere control algorithmControl theoryMagnet0103 physical sciencesAutomotive Engineering0202 electrical engineering electronic engineering information engineeringTorqueInterior permanent magnet synchronous machineAmpereMaximum torque
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FOC with Resolver Implementation for PMSM Drives by Using a Low Cost Atmel SAM3X8E Microcontroller

2020

The aim of this paper is the low-cost experimental implementation of a field oriented control strategy for a Permanent Magnet Synchronous Motor (PMSM) by using an Atmel SAM3X8E microcontroller, mounted on an Arduino DUE board. In this electrical drive for PMSM, a resolver is used in order to measure the rotor position and speed: Therefore, the low-cost Arduino DUE performs not only FOC algorithm and phase currents data acquisition, but also a resolver-To-digital converter process, rotor position and speed data acquisition, and resolver signals management. The code has been implemented in the open source Arduino IDE, using C language, whereas the control and plot visualization interfaces hav…

010302 applied physicsVector controlField oriented Control (FOC)Rotor (electric)business.industryComputer science020208 electrical & electronic engineeringProcess (computing)02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciencesElectrical driveslaw.inventionMicrocontrollerPrinted circuit boardData acquisitionmicrocontrollerlawArduinoResolver0103 physical sciences0202 electrical engineering electronic engineering information engineeringPermanent magnet synchronous motor (PMSM)businessComputer hardware2020 Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
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Field Oriented Control of IPMSM Fed by Multilevel Cascaded H-Bridges Inverter with NI-SOM sbRIO-9651 FPGA controller

2022

Electrical drives fed by Multilevel Inverters (MIs) are of considerable interest for traction and e-mobility applications. In detail, Cascaded H-Bridge Multilevel Inverter (CHBMI) is a promising solution for electrical drive optimization purposes in terms of efficiency, safety, integration and flexible use of energy sources. The aim of this paper is the experimental implementation of the field-oriented control strategy of Interior Permanent Magnet Synchronous Machine (IPMSM) fed by CHBMI by use of NI-SOM sbrRIO-9651 FPGA controller. This FPGA controller can be programmable in the LabVIEW programming environment with the consequent benefits of graphical programming. The paper address the acq…

CHBMIsbRIO-9651Interior Permanent Magnet Synchronous Machines (IPMSM)LabviewField Oriented Control (FOC)Settore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciFPGA2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)
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High Performance FOC for Induction Motors with Low Cost ATSAM3X8E Microcontroller

2018

In this paper the Authors present the Arduino Due board application for an induction motor field oriented control (FOC) algorithm. The low cost Arduino Due board is equipped with a ATSAM3X8E microcontroller that performs the algorithm calculation, data processing, current signals and speed/position data acquisition. The control algorithm has been developed with the help of the open source Arduino integrated development environment, whereas a user friendly control interface, used to manage the speed or position set point, has been developed in Java language by means of an other open source software, namely, Processing. An experimental test bed has been set up in order to validate the FOC sys…

Data processingMicrocontrollerVector controlRenewable Energy Sustainability and the Environmentbusiness.industryComputer scienceInterface (computing)020208 electrical & electronic engineeringAutomotive industryEnergy Engineering and Power Technology02 engineering and technologyField Oriented Control (FOC)Settore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciMicrocontrollerData acquisitionArduino0202 electrical engineering electronic engineering information engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS020201 artificial intelligence & image processingEletrical drives.Induction motorElectrical and Electronic EngineeringbusinessComputer hardwareInduction motor2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)
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Dynamical Compensation of the Load Torque in a High-Performance Electrical Drive with an Induction Motor

2018

This paper describes a new method for dynamical estimation of load disturbance in induction motors by using Nonlinear Unknown Input Observers (NUIO). This estimation is then used to compensate dynamically the load torque in a Field Oriented Control (FOC) induction motor drive to increase its load-rejection capability. The method has been verified both in simulation and experimentally on a experimental rig.

Electrical driveVector controlDisturbance (geology)Computer science020208 electrical & electronic engineeringinduction motor driveDynamic compensation02 engineering and technology01 natural sciencesCompensation (engineering)Nonlinear systemInduction Motors Estimation Field Oriented ControlControl theory0103 physical sciences0202 electrical engineering electronic engineering information engineeringTorqueLoad torque010301 acousticsInduction motor
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Neural based MRAS sensorless techniques for high performance linear induction motor drives.

2010

This paper proposes a neural based MRAS (Model reference Adaptive System) speed observer suited for linear induction motors (LIM). Starting from the dynamical equation of the LIM in the synchronous reference frame in literature, the so-called voltage and current models of the LIM in the stationary reference frame, taking into consideration the end effects, have been deduced. Then, while the inductor equations have been used as reference model of the MRAS observer, the induced part equations have been discretized and rearranged so to be represented by a linear neural network (ADALINE). On this basis, the so called TLS EXIN neuron has been used to compute on-line, in recursive form, the machi…

EngineeringArtificial neural networkObserver (quantum physics)business.industrySettore ING-INF/04 - AutomaticaControl theoryLinear induction motorAdaptive systembusinessMRASReference modelStationary Reference FrameLinear Induction Motor (LIM) Sensorless control Model Reference Adaptive Systems (MRAS) Neural Networks (NN) Field Oriented Control (FOC)Reference frame
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Sliding mode torque control of an induction motor for automotive application with sliding mode flux observer

2016

In this paper, the performance of two control systems of induction motors for automotive applications were compared in order to highlight the differences in terms of response speed, robustness and noise immunity. The first system is realized through a field-oriented control with PI controllers, while the second system is realized through a field-oriented control with Sliding Mode Controllers. Both controls are designed to follow the torque references as required for the vehicles and are tested with typical load profiles of vehicles. It also designed a sliding mode observer flux.

EngineeringSliding mode controlNoise immunityRenewable Energy Sustainability and the Environmentbusiness.industry020209 energyIncution motorAutomotive industryEnergy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciField oriented controlFlux observerRobustness (computer science)Control theoryControl system0202 electrical engineering electronic engineering information engineeringTorqueState observerFlux observerbusinessInduction motor2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA)
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Vibration signature analysis for rotor broken bar diagnosis in double cage induction motor drives

2013

The paper investigates the diagnosis of rotor broken bars in field oriented controlled (FOC) double cage induction motor drives, using current and vibration signature analysis techniques. The Impact of the closed loop control system cannot be neglected when the detection of asymmetries in the machine are based on the signature analysis of electrical variables. The proposed diagnosis approach is based on optimized use of wavelet analysis by a pre-processing of phase current or axial/radial vibration signals. Thus, the time evolution of the tracked rotor fault components can be effectively analyzed. This paper shows also the relevance of the fault components computed from axial vibration sign…

Engineeringadial vibration signalBar (music)machine vector controlinduction motor driverotor broken bar diagnosiSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettriciphase current signalFault (power engineering)VibrationWound rotor motorlaw.inventionINDUCTION MOTORSRotorlawControl theoryclosed loop control systemdouble cage rotortime evolutionInduction motorpreprocessingwavelet transformvibration signature analysielectric currentaxial vibration signalVector controlfield oriented controlfault diagnosticrotor faultRotor (electric)business.industrySquirrel-cage rotorclosed loop systemfault diagnosiStatorAC Machinecurrent signature analysiBarVibrationCONDITION MONITORINGTime-Frequency Analysidouble cage induction motor driveignal processingmaintenance engineeringwavelet analysibusinessInduction motor4th International Conference on Power Engineering, Energy and Electrical Drives
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Experimental Comparison of Efficiency Enhancement Algorithms for Three-Phase Induction Motors

2019

This paper presents an experimental comparison of two efficiency improvement algorithms for three-phase induction motors by adopting Loss Model Algorithms (LMAs). The efficiency enhancement is evaluated starting from several simulations for different conditions of load and speed and, then, validated by comparing the experimental results obtained by applying the two control strategies and the traditional Field Oriented Control (FOC). Significant results in terms of efficiency enhancement are presented and discussed.

Loss Model AlgorithmVector controlThree-phaseComputer scienceField Oriented ControlInduction motorSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciAlgorithmInduction motorPower losses minimization2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
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