Power converters and AC electrical drives with linear neutral networks / Maurizio Cirrincione, Marcello Pucci, Gianpaolo Vitale.

Includes bibliographical references and index.

Review of Basic Concepts: Space-Vector AnalysisIntroductionSpace-Vector Definition3 2 and 2 3 TransformationsCoordinate TransformationInstantaneous Real and Imaginary PowersPart I Power ConvertersPulsewidth Modulation of Voltage Source InvertersFundamentals of Voltage Source InvertersOpen-Loop PWMClosed-Loop Control of VSIsList of SymbolsFurther ReadingsPower QualityNonlinear LoadsHarmonic Propagation on the Distribution NetworkPassive FiltersActive Power FiltersList of SymbolsPart II Electrical DrivesDynamic and Steady-State Models of the Induction MachineIntroductionDefinition of the Machine Space-Vector QuantitiesPhase Equations of the IMSpace-Vector Equations in the Stator Reference FrameSpace-Vector Equations in the Rotor Reference FrameSpace-Vector Equations in the Generalized Reference FrameMathematical Dynamic Model of the IM Taking into Account the Magnetic SaturationSteady-State Space-Vector Model of the IMExperimental Validation of the Space-Vector Model of the IMIM Model Including Slotting EffectsList of SymbolsControl Techniques of Induction Machine DrivesIntroduction on Induction Machine (IM) ControlScalar Control of IMsFOC of IMsDTC of IMList of SymbolsSensorless Control of Induction Machine DrivesIntroduction on Sensorless ControlModel-Based Sensorless ControlAnisotropy-Based Sensorless ControlModel-Based Sensorless TechniquesAnisotropy-Based Sensorless TechniquesConclusions on Sensorless Techniques for IM DrivesPermanent Magnet Synchronous Motor DrivesIntroductionSpace-Vector Model of Permanent Magnet Synchronous MotorsControl Strategies of PMSM DrivesSensorless Control of PMSM DrivesAppendix: Experimental Test SetupPart III Neural Based Orthogonal RegressionNeural-Based Orthogonal RegressionIntroduction: ADALINE and Least Squares ProblemsApproaches to the Linear RegressionMinor Component Analysis and the MCA EXIN NeuronMCA EXIN NeuronTLS EXIN NeuronGeneralization of Linear Least Squares ProblemsGeMCA EXIN NeuronGeTLS EXIN NeuronPart IV Selected ApplicationsLeast Square and Neural Identification of Electrical MachinesParameter Estimation of Induction Machines (IMs)Sensitivity of the Flux Model to Parameter VariationsExperimental Analysis of the Effects of Flux Model Detuning on the Control PerformanceMethods for the On-line Tracking of the Machine Parameter VariationsOn-line Estimation of the IM Parameters with the Ordinary Least Squares MethodConstrained Minimization for Parameter Estimation of IMs in Saturated and Unsaturated ConditionsParameter Estimation of an IM with the Total Least Squares MethodApplication of the RLS-Based Parameter Estimation to Flux Model Adaptation in FOC and DTC IM DrivesEstimation of the IM Parameters at StandstillList of SymbolsNeural-Enhanced Single-Phase DG Systems with APF CapabilityIntroductionGeneral Operating PrincipleADALINE Design CriteriaBuilding the Current ReferenceMultiresonant Current ControllerStability IssuesTest RigExperimental ResultsAPF Connection ProcedureNeural Sensorless Control of AC DrivesNN-Based Sensorless ControlBPN-Based MRAS Speed ObserverLS-Based MRAS Speed ObserverTLS EXIN Full-Order Luenberger Adaptive ObserverMCA EXIN + Reduced-Order ObserverAppendix A: Implemented Control SchemesAppendix B: Description of the Test SetupList of SymbolsIndexAll chapters include references

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