Search results for "vector [correlation function]"

showing 10 items of 339 documents

PVDF based vibration measurements and their correlation with torque estimation in a FOC induction motor drive

2008

This paper presents a study concerning the vibrations generated by an induction motor drive controlled by field oriented control algorithm (FOC). The aim of the study is to identify suitable measurement points and analysis techniques in order to achieve information about vibration generated by an electric drive. Vibrations take origin both by the torque generated by the motor and the motor supply through an inverter, then they are transmitted to neighbouring structures. Torque is estimated on the basis of the estimated flux linkage; vibrations have been both measured and analysed numerically by FEM at two points of the cradle. The numerical and experimental analysis have been carried out fo…

EngineeringElectronic speed controlpolyvinyledene fluoride polymer (PVDF)Vector controlbusiness.industryVibration measurementFlux linkageInduction Motor DrivePolyvinyledene fluoride polymer (PVDF) vibration sensors Vibration measurementvibration sensorsDirect torque controlControl theorySettore ING-IND/12 - Misure Meccaniche E TermicheTorqueTorque sensorbusinessDamping torqueInduction motor
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PMSM Drives Sensorless Position Control with Signal Injection and Neural Filtering

2009

Vector Field Oriented Control (FOC) is one of the best control methods for high-dynamic electrical drives. To avoid the adoption of the speed/position sensor (resolver/encoder), a sensorless technique should be used. Among the various sensorless methods in literature, those based on machine saliency detection by signal injection seem to be most useful for thier giving the possibility of closing the position control loop. This paper proposes a method for enhancing both rotating and pulsating voltage carrier injection methods by a neural adaptive band filter. Results show the goodness of the proposed solution.

EngineeringSignal processingVector controlArtificial neural networkbusiness.industryFilter (signal processing)neural networksCurrent transformerControl theoryResolverElectronic engineeringPMSMsensorless controlbusinesssignal processingEncoderPosition sensor
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Sensorless control of PMSM by a linear neural network: TLS EXIN neuron

2010

Sensorless vector control applied to the Permanent Magnet Synchronous Motors (PMSMs) is a very challenging subject. It permits obtaining high dinamical performance by exploiting increased reliability and also reduced cost. Among the different methodologies proposed in literature, a model based approach has been proposed here. In particular, the space vector equations of the PMSM have been re-elaborated to permit the use of a Least Squares technique. The problem has been then faced-up to with the so-called TLS EXIN neuron, which is a linear neural network able to solve the TLS problem on-line. Simulation tests have been done on both interior mounted and surface mounted machines.

EngineeringVector controlPermanent magnet synchronous motorArtificial neural networkControl theorybusiness.industryReliability (computer networking)Control (management)Control engineeringSynchronous motorReduced costbusinessLeast squaresIECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
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Control of an open-end winding induction machine via a two-output indirect matrix converter

2014

In this paper an Indirect Matrix Converter (IMC) with two output stages feeding an open-end winding induction machine is presented. The IMC has the advantage of having nobulky energy storage elements and with the two output stages up to 1.5 times the input phase voltage can be obtained across the windings of the machine, without overmodulation. A vector control scheme for the machine currents is used along with a modulation strategy for the converter two-output stages to reduce the common mode voltage and compensate the phase zero sequence currents. Simulation results showing the performance of the controlscheme and the reduction of zero sequence and common mode voltages are presented and d…

EngineeringVector controlbusiness.industryModulationControl theoryElectromagnetic coilPhase (waves)Common-mode signalOvermodulationbusinessVoltageMachine control2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014
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Method for designing PI-type fuzzy controllers for induction motor drives

2001

The paper illustrates a new systematic method for designing PI-type fuzzy controllers for direct field-oriented controlled induction motor drives. First, linear and decoupled models expressing the dynamics of speed, rotor flux, direct and inquadrature stator currents are derived using a nonlinear static compensator and choosing convenient input variables. Then, to guide the dynamics of the above quantities, four conventional PI controllers are designed independently, choosing their bandwidths conveniently. Finally, the input and output scale factors of PI-type fuzzy controllers are derived from the conventional PI controller parameters. The whole drive controller also includes a rotor flux …

EngineeringVector controlbusiness.industrySquirrel-cage rotorPID controllerControl engineeringFuzzy control systemWound rotor motorlaw.inventionObservers induction motor drives fuzzy control vector control control system synthesisSettore ING-INF/04 - AutomaticaDirect torque controlControl and Systems EngineeringControl theorylawElectrical and Electronic EngineeringbusinessInstrumentationInduction motorIEE Proceedings - Control Theory and Applications
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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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An upper bound of the index of an equilibrium point in the plane

2012

Abstract We give an upper bound of the index of an isolated equilibrium point of a C 1 vector field in the plane. The vector field is decomposed in gradient and Hamiltonian components. This decomposition is related with the Loewner vector field. Associated to this decomposition we consider the set Π where the gradient and Hamiltonian components are linearly dependent. The number of branches of Π starting at the equilibrium point determines the upper bound of the index.

Equilibrium pointApplied MathematicsMathematical analysisGradient systemsUpper and lower boundsIndexsymbols.namesakesymbolsVector fieldLinear independenceHamiltonian systemsHamiltonian (quantum mechanics)AnalysisPlanar differential systemsMathematics
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Desychronization of one-parameter families of stable vector fields

2005

Given a one-parameter family of vector fields on , Fλ(x), , such that for each λ, Fλ has a global asymptotically stable equilibrium point xλ, we construct a vector field on of the form G(λ, x) = (g(λ, x), Fλ(x)) which exhibits chaotic behaviour. This result is an incursion in the inverse problem of master–slave synchronization.This paper discusses self-disorganization of parameter dependent stable vector fields. Motivations are found in applications to drug design: one way to lead an unfriendly organism to death is to destabilize its metabolism. In this paper we envisage the mathematical aspect of the question. We show that for a very stable system (one globally attracting equilibrium state…

Equilibrium pointPure mathematicsThermodynamic equilibriumApplied MathematicsChaoticGeneral Physics and AstronomyStatistical and Nonlinear PhysicsOf the formInverse problemDynamical systemControl theoryStability theoryVector fieldMathematical PhysicsMathematicsNonlinearity
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MAST solution of advection problems in irrotational flow fields

2007

Abstract A new numerical–analytical Eulerian procedure is proposed for the solution of convection-dominated problems in the case of existing scalar potential of the flow field. The methodology is based on the conservation inside each computational elements of the 0th and 1st order effective spatial moments of the advected variable. This leads to a set of small ODE systems solved sequentially, one element after the other over all the computational domain, according to a MArching in Space and Time technique. The proposed procedure shows the following advantages: (1) it guarantees the local and global mass balance; (2) it is unconditionally stable with respect to the Courant number, (3) the so…

Eulerian methods convective flow computational methodsComputer scienceAdvectionNumerical analysisCourant–Friedrichs–Lewy conditionOdeScalar potentialEulerian pathConservative vector fieldsymbols.namesakeMonotone polygonCalculussymbolsApplied mathematicsWater Science and Technology
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On the interpretability and computational reliability of frequency-domain Granger causality

2017

This Correspondence article is a comment which directly relates to the paper “A study of problems encountered in Granger causality analysis from a neuroscience perspective” (Stokes and Purdon, 2017). We agree that interpretation issues of Granger causality (GC) in neuroscience exist, partially due to the historically unfortunate use of the name “causality”, as described in previous literature. On the other hand, we think that Stokes and Purdon use a formulation of GC which is outdated (albeit still used) and do not fully account for the potential of the different frequency-domain versions of GC; in doing so, their paper dismisses GC measures based on a suboptimal use of them. Furthermore, s…

FOS: Computer and information sciences0301 basic medicineTheoretical computer scienceImmunology and Microbiology (all)Computer scienceTime series analysiMathematics - Statistics TheoryStatistics Theory (math.ST)Statistics - ApplicationsGeneral Biochemistry Genetics and Molecular BiologyMethodology (stat.ME)Causality (physics)03 medical and health sciences0302 clinical medicinegranger causalityGranger causalityCorrespondenceFOS: MathematicsApplications (stat.AP)Physiological oscillationGeneral Pharmacology Toxicology and PharmaceuticsTime seriessignal processingStatistical Methodologies & Health Informaticsfrequency-domain connectivityReliability (statistics)Statistics - MethodologyInterpretabilityGranger-Geweke causalityBiochemistry Genetics and Molecular Biology (all)Interpretation (logic)General Immunology and Microbiologybrain connectivityGeneral MedicineArticlesvector autoregressive models030104 developmental biologyMathematics and StatisticsWildcardVector autoregressive modelPharmacology Toxicology and Pharmaceutics (all)Frequency domaintime series analysisspectral decompositionSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaBrain connectivity; Directed coherence; Frequency-domain connectivity; Granger-Geweke causality; Physiological oscillations; Spectral decomposition; Time series analysis; Vector autoregressive models; Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all); Pharmacology Toxicology and Pharmaceutics (all)directed coherence030217 neurology & neurosurgeryphysiological oscillations
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