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The first book of its kind, **Power Converters and AC Electrical Drives with Linear Neural Networks** systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in identification, discusses control of electrical drives and power converters, and examines improvements that can be attained when using linear neural networks.

The book integrates power electronics and electrical drives with artificial neural networks (ANN). Organized into four parts, it first deals with voltage source inverters and their control. It then covers AC electrical drive control, focusing on induction and permanent magnet synchronous motor drives. The third part examines theoretical aspects of linear neural networks, particularly the neural EXIN family. The fourth part highlights original applications in electrical drives and power quality, ranging from neural-based parameter estimation and sensorless control to distributed generation systems from renewable sources and active power filters. Simulation and experimental results are provided to validate the theories.

Written by experts in the field, this state-of-the-art book requires basic knowledge of electrical machines and power electronics, as well as some familiarity with control systems, signal processing, linear algebra, and numerical analysis. Offering multiple paths through the material, the text is suitable for undergraduate and postgraduate students, theoreticians, practicing engineers, and researchers involved in applications of ANNs.

**Review of Basic Concepts: Space-Vector Analysis**

Introduction

Space-Vector Definition

3 → 2 and 2 → 3 Transformations

Coordinate Transformation

Instantaneous Real and Imaginary Powers

**Part I Power Converters**

**Pulsewidth Modulation of Voltage Source Inverters**

Fundamentals of Voltage Source Inverters

Open-Loop PWM

Closed-Loop Control of VSIs

List of Symbols

Further Readings

**Power Quality**

Nonlinear Loads

Harmonic Propagation on the Distribution Network

Passive Filters

Active Power Filters

List of Symbols

**Part II Electrical Drives**

**Dynamic and Steady-State Models of the Induction Machine**

Introduction

Definition of the Machine Space-Vector Quantities

Phase Equations of the IM

Space-Vector Equations in the Stator Reference Frame

Space-Vector Equations in the Rotor Reference Frame

Space-Vector Equations in the Generalized Reference Frame

Mathematical Dynamic Model of the IM Taking into Account the Magnetic Saturation

Steady-State Space-Vector Model of the IM

Experimental Validation of the Space-Vector Model of the IM

IM Model Including Slotting Effects

List of Symbols

**Control Techniques of Induction Machine Drives**

Introduction on Induction Machine (IM) Control

Scalar Control of IMs

FOC of IMs

DTC of IM

List of Symbols

**Sensorless Control of Induction Machine Drives**

Introduction on Sensorless Control

Model-Based Sensorless Control

Anisotropy-Based Sensorless Control

Model-Based Sensorless Techniques

Anisotropy-Based Sensorless Techniques

Conclusions on Sensorless Techniques for IM Drives

**Permanent Magnet Synchronous Motor Drives**

Introduction

Space-Vector Model of Permanent Magnet Synchronous Motors

Control Strategies of PMSM Drives

Sensorless Control of PMSM Drives

Appendix: Experimental Test Setup

**Part III Neural Based Orthogonal Regression**

**Neural-Based Orthogonal Regression**

Introduction: ADALINE and Least Squares Problems

Approaches to the Linear Regression

Minor Component Analysis and the MCA EXIN Neuron

MCA EXIN Neuron

TLS EXIN Neuron

Generalization of Linear Least Squares Problems

GeMCA EXIN Neuron

GeTLS EXIN Neuron

**Part IV Selected Applications**

**Least Square and Neural Identification of Electrical Machines**

Parameter Estimation of Induction Machines (IMs)

Sensitivity of the Flux Model to Parameter Variations

Experimental Analysis of the Effects of Flux Model Detuning on the Control Performance

Methods for the On-line Tracking of the Machine Parameter Variations

On-line Estimation of the IM Parameters with the Ordinary Least Squares Method

Constrained Minimization for Parameter Estimation of IMs in Saturated and Unsaturated Conditions

Parameter Estimation of an IM with the Total Least Squares Method

Application of the RLS-Based Parameter Estimation to Flux Model Adaptation in FOC and DTC IM Drives

Estimation of the IM Parameters at Standstill

List of Symbols

**Neural-Enhanced Single-Phase DG Systems with APF Capability**

Introduction

General Operating Principle

ADALINE Design Criteria

Building the Current Reference

Multiresonant Current Controller

Stability Issues

Test Rig

Experimental Results

APF Connection Procedure

**Neural Sensorless Control of AC Drives**

NN-Based Sensorless Control

BPN-Based MRAS Speed Observer

LS-Based MRAS Speed Observer

TLS EXIN Full-Order Luenberger Adaptive Observer

MCA EXIN + Reduced-Order Observer

Appendix A: Implemented Control Schemes

Appendix B: Description of the Test Setup

List of Symbols

**Index**

*All chapters include references.*

The first book of its kind, **Power Converters and AC Electrical Drives with Linear Neural Networks** systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in identification, discusses control of electrical drives and power converters, and examines improvements that can be attained when using linear neural networks.

The book integrates power electronics and electrical drives with artificial neural networks (ANN). Organized into four parts, it first deals with voltage source inverters and their control. It then covers AC electrical drive control, focusing on induction and permanent magnet synchronous motor drives. The third part examines theoretical aspects of linear neural networks, particularly the neural EXIN family. The fourth part highlights original applications in electrical drives and power quality, ranging from neural-based parameter estimation and sensorless control to distributed generation systems from renewable sources and active power filters. Simulation and experimental results are provided to validate the theories.

Written by experts in the field, this state-of-the-art book requires basic knowledge of electrical machines and power electronics, as well as some familiarity with control systems, signal processing, linear algebra, and numerical analysis. Offering multiple paths through the material, the text is suitable for undergraduate and postgraduate students, theoreticians, practicing engineers, and researchers involved in applications of ANNs.

**Review of Basic Concepts: Space-Vector Analysis**

Introduction

Space-Vector Definition

3 → 2 and 2 → 3 Transformations

Coordinate Transformation

Instantaneous Real and Imaginary Powers

**Part I Power Converters**

**Pulsewidth Modulation of Voltage Source Inverters**

Fundamentals of Voltage Source Inverters

Open-Loop PWM

Closed-Loop Control of VSIs

List of Symbols

Further Readings

**Power Quality**

Nonlinear Loads

Harmonic Propagation on the Distribution Network

Passive Filters

Active Power Filters

List of Symbols

**Part II Electrical Drives**

**Dynamic and Steady-State Models of the Induction Machine**

Introduction

Definition of the Machine Space-Vector Quantities

Phase Equations of the IM

Space-Vector Equations in the Stator Reference Frame

Space-Vector Equations in the Rotor Reference Frame

Space-Vector Equations in the Generalized Reference Frame

Mathematical Dynamic Model of the IM Taking into Account the Magnetic Saturation

Steady-State Space-Vector Model of the IM

Experimental Validation of the Space-Vector Model of the IM

IM Model Including Slotting Effects

List of Symbols

**Control Techniques of Induction Machine Drives**

Introduction on Induction Machine (IM) Control

Scalar Control of IMs

FOC of IMs

DTC of IM

List of Symbols

**Sensorless Control of Induction Machine Drives**

Introduction on Sensorless Control

Model-Based Sensorless Control

Anisotropy-Based Sensorless Control

Model-Based Sensorless Techniques

Anisotropy-Based Sensorless Techniques

Conclusions on Sensorless Techniques for IM Drives

**Permanent Magnet Synchronous Motor Drives**

Introduction

Space-Vector Model of Permanent Magnet Synchronous Motors

Control Strategies of PMSM Drives

Sensorless Control of PMSM Drives

Appendix: Experimental Test Setup

**Part III Neural Based Orthogonal Regression**

**Neural-Based Orthogonal Regression**

Introduction: ADALINE and Least Squares Problems

Approaches to the Linear Regression

Minor Component Analysis and the MCA EXIN Neuron

MCA EXIN Neuron

TLS EXIN Neuron

Generalization of Linear Least Squares Problems

GeMCA EXIN Neuron

GeTLS EXIN Neuron

**Part IV Selected Applications**

**Least Square and Neural Identification of Electrical Machines**

Parameter Estimation of Induction Machines (IMs)

Sensitivity of the Flux Model to Parameter Variations

Experimental Analysis of the Effects of Flux Model Detuning on the Control Performance

Methods for the On-line Tracking of the Machine Parameter Variations

On-line Estimation of the IM Parameters with the Ordinary Least Squares Method

Constrained Minimization for Parameter Estimation of IMs in Saturated and Unsaturated Conditions

Parameter Estimation of an IM with the Total Least Squares Method

Application of the RLS-Based Parameter Estimation to Flux Model Adaptation in FOC and DTC IM Drives

Estimation of the IM Parameters at Standstill

List of Symbols

**Neural-Enhanced Single-Phase DG Systems with APF Capability**

Introduction

General Operating Principle

ADALINE Design Criteria

Building the Current Reference

Multiresonant Current Controller

Stability Issues

Test Rig

Experimental Results

APF Connection Procedure

**Neural Sensorless Control of AC Drives**

NN-Based Sensorless Control

BPN-Based MRAS Speed Observer

LS-Based MRAS Speed Observer

TLS EXIN Full-Order Luenberger Adaptive Observer

MCA EXIN + Reduced-Order Observer

Appendix A: Implemented Control Schemes

Appendix B: Description of the Test Setup

List of Symbols

**Index**

*All chapters include references.*

The first book of its kind, **Power Converters and AC Electrical Drives with Linear Neural Networks** systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in identification, discusses control of electrical drives and power converters, and examines improvements that can be attained when using linear neural networks.

The book integrates power electronics and electrical drives with artificial neural networks (ANN). Organized into four parts, it first deals with voltage source inverters and their control. It then covers AC electrical drive control, focusing on induction and permanent magnet synchronous motor drives. The third part examines theoretical aspects of linear neural networks, particularly the neural EXIN family. The fourth part highlights original applications in electrical drives and power quality, ranging from neural-based parameter estimation and sensorless control to distributed generation systems from renewable sources and active power filters. Simulation and experimental results are provided to validate the theories.

Written by experts in the field, this state-of-the-art book requires basic knowledge of electrical machines and power electronics, as well as some familiarity with control systems, signal processing, linear algebra, and numerical analysis. Offering multiple paths through the material, the text is suitable for undergraduate and postgraduate students, theoreticians, practicing engineers, and researchers involved in applications of ANNs.

**Review of Basic Concepts: Space-Vector Analysis**

Introduction

Space-Vector Definition

3 → 2 and 2 → 3 Transformations

Coordinate Transformation

Instantaneous Real and Imaginary Powers

**Part I Power Converters**

**Pulsewidth Modulation of Voltage Source Inverters**

Fundamentals of Voltage Source Inverters

Open-Loop PWM

Closed-Loop Control of VSIs

List of Symbols

Further Readings

**Power Quality**

Nonlinear Loads

Harmonic Propagation on the Distribution Network

Passive Filters

Active Power Filters

List of Symbols

**Part II Electrical Drives**

**Dynamic and Steady-State Models of the Induction Machine**

Introduction

Definition of the Machine Space-Vector Quantities

Phase Equations of the IM

Space-Vector Equations in the Stator Reference Frame

Space-Vector Equations in the Rotor Reference Frame

Space-Vector Equations in the Generalized Reference Frame

Mathematical Dynamic Model of the IM Taking into Account the Magnetic Saturation

Steady-State Space-Vector Model of the IM

Experimental Validation of the Space-Vector Model of the IM

IM Model Including Slotting Effects

List of Symbols

**Control Techniques of Induction Machine Drives**

Introduction on Induction Machine (IM) Control

Scalar Control of IMs

FOC of IMs

DTC of IM

List of Symbols

**Sensorless Control of Induction Machine Drives**

Introduction on Sensorless Control

Model-Based Sensorless Control

Anisotropy-Based Sensorless Control

Model-Based Sensorless Techniques

Anisotropy-Based Sensorless Techniques

Conclusions on Sensorless Techniques for IM Drives

**Permanent Magnet Synchronous Motor Drives**

Introduction

Space-Vector Model of Permanent Magnet Synchronous Motors

Control Strategies of PMSM Drives

Sensorless Control of PMSM Drives

Appendix: Experimental Test Setup

**Part III Neural Based Orthogonal Regression**

**Neural-Based Orthogonal Regression**

Introduction: ADALINE and Least Squares Problems

Approaches to the Linear Regression

Minor Component Analysis and the MCA EXIN Neuron

MCA EXIN Neuron

TLS EXIN Neuron

Generalization of Linear Least Squares Problems

GeMCA EXIN Neuron

GeTLS EXIN Neuron

**Part IV Selected Applications**

**Least Square and Neural Identification of Electrical Machines**

Parameter Estimation of Induction Machines (IMs)

Sensitivity of the Flux Model to Parameter Variations

Experimental Analysis of the Effects of Flux Model Detuning on the Control Performance

Methods for the On-line Tracking of the Machine Parameter Variations

On-line Estimation of the IM Parameters with the Ordinary Least Squares Method

Constrained Minimization for Parameter Estimation of IMs in Saturated and Unsaturated Conditions

Parameter Estimation of an IM with the Total Least Squares Method

Application of the RLS-Based Parameter Estimation to Flux Model Adaptation in FOC and DTC IM Drives

Estimation of the IM Parameters at Standstill

List of Symbols

**Neural-Enhanced Single-Phase DG Systems with APF Capability**

Introduction

General Operating Principle

ADALINE Design Criteria

Building the Current Reference

Multiresonant Current Controller

Stability Issues

Test Rig

Experimental Results

APF Connection Procedure

**Neural Sensorless Control of AC Drives**

NN-Based Sensorless Control

BPN-Based MRAS Speed Observer

LS-Based MRAS Speed Observer

TLS EXIN Full-Order Luenberger Adaptive Observer

MCA EXIN + Reduced-Order Observer

Appendix A: Implemented Control Schemes

Appendix B: Description of the Test Setup

List of Symbols

**Index**

*All chapters include references.*

**Power Converters and AC Electrical Drives with Linear Neural Networks** systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in identification, discusses control of electrical drives and power converters, and examines improvements that can be attained when using linear neural networks.

**Review of Basic Concepts: Space-Vector Analysis**

Introduction

Space-Vector Definition

3 → 2 and 2 → 3 Transformations

Coordinate Transformation

Instantaneous Real and Imaginary Powers

**Part I Power Converters**

**Pulsewidth Modulation of Voltage Source Inverters**

Fundamentals of Voltage Source Inverters

Open-Loop PWM

Closed-Loop Control of VSIs

List of Symbols

Further Readings

**Power Quality**

Nonlinear Loads

Harmonic Propagation on the Distribution Network

Passive Filters

Active Power Filters

List of Symbols

**Part II Electrical Drives**

**Dynamic and Steady-State Models of the Induction Machine**

Introduction

Definition of the Machine Space-Vector Quantities

Phase Equations of the IM

Space-Vector Equations in the Stator Reference Frame

Space-Vector Equations in the Rotor Reference Frame

Space-Vector Equations in the Generalized Reference Frame

Mathematical Dynamic Model of the IM Taking into Account the Magnetic Saturation

Steady-State Space-Vector Model of the IM

Experimental Validation of the Space-Vector Model of the IM

IM Model Including Slotting Effects

List of Symbols

**Control Techniques of Induction Machine Drives**

Introduction on Induction Machine (IM) Control

Scalar Control of IMs

FOC of IMs

DTC of IM

List of Symbols

**Sensorless Control of Induction Machine Drives**

Introduction on Sensorless Control

Model-Based Sensorless Control

Anisotropy-Based Sensorless Control

Model-Based Sensorless Techniques

Anisotropy-Based Sensorless Techniques

Conclusions on Sensorless Techniques for IM Drives

**Permanent Magnet Synchronous Motor Drives**

Introduction

Space-Vector Model of Permanent Magnet Synchronous Motors

Control Strategies of PMSM Drives

Sensorless Control of PMSM Drives

Appendix: Experimental Test Setup

**Part III Neural Based Orthogonal Regression**

**Neural-Based Orthogonal Regression**

Introduction: ADALINE and Least Squares Problems

Approaches to the Linear Regression

Minor Component Analysis and the MCA EXIN Neuron

MCA EXIN Neuron

TLS EXIN Neuron

Generalization of Linear Least Squares Problems

GeMCA EXIN Neuron

GeTLS EXIN Neuron

**Part IV Selected Applications**

**Least Square and Neural Identification of Electrical Machines**

Parameter Estimation of Induction Machines (IMs)

Sensitivity of the Flux Model to Parameter Variations

Experimental Analysis of the Effects of Flux Model Detuning on the Control Performance

Methods for the On-line Tracking of the Machine Parameter Variations

On-line Estimation of the IM Parameters with the Ordinary Least Squares Method

Constrained Minimization for Parameter Estimation of IMs in Saturated and Unsaturated Conditions

Parameter Estimation of an IM with the Total Least Squares Method

Application of the RLS-Based Parameter Estimation to Flux Model Adaptation in FOC and DTC IM Drives

Estimation of the IM Parameters at Standstill

List of Symbols

**Neural-Enhanced Single-Phase DG Systems with APF Capability**

Introduction

General Operating Principle

ADALINE Design Criteria

Building the Current Reference

Multiresonant Current Controller

Stability Issues

Test Rig

Experimental Results

APF Connection Procedure

**Neural Sensorless Control of AC Drives**

NN-Based Sensorless Control

BPN-Based MRAS Speed Observer

LS-Based MRAS Speed Observer

TLS EXIN Full-Order Luenberger Adaptive Observer

MCA EXIN + Reduced-Order Observer

Appendix A: Implemented Control Schemes

Appendix B: Description of the Test Setup

List of Symbols

**Index**

*All chapters include references.*

**Power Converters and AC Electrical Drives with Linear Neural Networks** systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in identification, discusses control of electrical drives and power converters, and examines improvements that can be attained when using linear neural networks.

**Review of Basic Concepts: Space-Vector Analysis**

Introduction

Space-Vector Definition

3 → 2 and 2 → 3 Transformations

Coordinate Transformation

Instantaneous Real and Imaginary Powers

**Part I Power Converters**

**Pulsewidth Modulation of Voltage Source Inverters**

Fundamentals of Voltage Source Inverters

Open-Loop PWM

Closed-Loop Control of VSIs

List of Symbols

Further Readings

**Power Quality**

Nonlinear Loads

Harmonic Propagation on the Distribution Network

Passive Filters

Active Power Filters

List of Symbols

**Part II Electrical Drives**

**Dynamic and Steady-State Models of the Induction Machine**

Introduction

Definition of the Machine Space-Vector Quantities

Phase Equations of the IM

Space-Vector Equations in the Stator Reference Frame

Space-Vector Equations in the Rotor Reference Frame

Space-Vector Equations in the Generalized Reference Frame

Mathematical Dynamic Model of the IM Taking into Account the Magnetic Saturation

Steady-State Space-Vector Model of the IM

Experimental Validation of the Space-Vector Model of the IM

IM Model Including Slotting Effects

List of Symbols

**Control Techniques of Induction Machine Drives**

Introduction on Induction Machine (IM) Control

Scalar Control of IMs

FOC of IMs

DTC of IM

List of Symbols

**Sensorless Control of Induction Machine Drives**

Introduction on Sensorless Control

Model-Based Sensorless Control

Anisotropy-Based Sensorless Control

Model-Based Sensorless Techniques

Anisotropy-Based Sensorless Techniques

Conclusions on Sensorless Techniques for IM Drives

**Permanent Magnet Synchronous Motor Drives**

Introduction

Space-Vector Model of Permanent Magnet Synchronous Motors

Control Strategies of PMSM Drives

Sensorless Control of PMSM Drives

Appendix: Experimental Test Setup

**Part III Neural Based Orthogonal Regression**

**Neural-Based Orthogonal Regression**

Introduction: ADALINE and Least Squares Problems

Approaches to the Linear Regression

Minor Component Analysis and the MCA EXIN Neuron

MCA EXIN Neuron

TLS EXIN Neuron

Generalization of Linear Least Squares Problems

GeMCA EXIN Neuron

GeTLS EXIN Neuron

**Part IV Selected Applications**

**Least Square and Neural Identification of Electrical Machines**

Parameter Estimation of Induction Machines (IMs)

Sensitivity of the Flux Model to Parameter Variations

Experimental Analysis of the Effects of Flux Model Detuning on the Control Performance

Methods for the On-line Tracking of the Machine Parameter Variations

On-line Estimation of the IM Parameters with the Ordinary Least Squares Method

Constrained Minimization for Parameter Estimation of IMs in Saturated and Unsaturated Conditions

Parameter Estimation of an IM with the Total Least Squares Method

Application of the RLS-Based Parameter Estimation to Flux Model Adaptation in FOC and DTC IM Drives

Estimation of the IM Parameters at Standstill

List of Symbols

**Neural-Enhanced Single-Phase DG Systems with APF Capability**

Introduction

General Operating Principle

ADALINE Design Criteria

Building the Current Reference

Multiresonant Current Controller

Stability Issues

Test Rig

Experimental Results

APF Connection Procedure

**Neural Sensorless Control of AC Drives**

NN-Based Sensorless Control

BPN-Based MRAS Speed Observer

LS-Based MRAS Speed Observer

TLS EXIN Full-Order Luenberger Adaptive Observer

MCA EXIN + Reduced-Order Observer

Appendix A: Implemented Control Schemes

Appendix B: Description of the Test Setup

List of Symbols

**Index**

*All chapters include references.*

**Power Converters and AC Electrical Drives with Linear Neural Networks** systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in identification, discusses control of electrical drives and power converters, and examines improvements that can be attained when using linear neural networks.

**Review of Basic Concepts: Space-Vector Analysis**

Introduction

Space-Vector Definition

3 → 2 and 2 → 3 Transformations

Coordinate Transformation

Instantaneous Real and Imaginary Powers

**Part I Power Converters**

**Pulsewidth Modulation of Voltage Source Inverters**

Fundamentals of Voltage Source Inverters

Open-Loop PWM

Closed-Loop Control of VSIs

List of Symbols

Further Readings

**Power Quality**

Nonlinear Loads

Harmonic Propagation on the Distribution Network

Passive Filters

Active Power Filters

List of Symbols

**Part II Electrical Drives**

**Dynamic and Steady-State Models of the Induction Machine**

Introduction

Definition of the Machine Space-Vector Quantities

Phase Equations of the IM

Space-Vector Equations in the Stator Reference Frame

Space-Vector Equations in the Rotor Reference Frame

Space-Vector Equations in the Generalized Reference Frame

Mathematical Dynamic Model of the IM Taking into Account the Magnetic Saturation

Steady-State Space-Vector Model of the IM

Experimental Validation of the Space-Vector Model of the IM

IM Model Including Slotting Effects

List of Symbols

**Control Techniques of Induction Machine Drives**

Introduction on Induction Machine (IM) Control

Scalar Control of IMs

FOC of IMs

DTC of IM

List of Symbols

**Sensorless Control of Induction Machine Drives**

Introduction on Sensorless Control

Model-Based Sensorless Control

Anisotropy-Based Sensorless Control

Model-Based Sensorless Techniques

Anisotropy-Based Sensorless Techniques

Conclusions on Sensorless Techniques for IM Drives

**Permanent Magnet Synchronous Motor Drives**

Introduction

Space-Vector Model of Permanent Magnet Synchronous Motors

Control Strategies of PMSM Drives

Sensorless Control of PMSM Drives

Appendix: Experimental Test Setup

**Part III Neural Based Orthogonal Regression**

**Neural-Based Orthogonal Regression**

Introduction: ADALINE and Least Squares Problems

Approaches to the Linear Regression

Minor Component Analysis and the MCA EXIN Neuron

MCA EXIN Neuron

TLS EXIN Neuron

Generalization of Linear Least Squares Problems

GeMCA EXIN Neuron

GeTLS EXIN Neuron

**Part IV Selected Applications**

**Least Square and Neural Identification of Electrical Machines**

Parameter Estimation of Induction Machines (IMs)

Sensitivity of the Flux Model to Parameter Variations

Experimental Analysis of the Effects of Flux Model Detuning on the Control Performance

Methods for the On-line Tracking of the Machine Parameter Variations

On-line Estimation of the IM Parameters with the Ordinary Least Squares Method

Constrained Minimization for Parameter Estimation of IMs in Saturated and Unsaturated Conditions

Parameter Estimation of an IM with the Total Least Squares Method

Application of the RLS-Based Parameter Estimation to Flux Model Adaptation in FOC and DTC IM Drives

Estimation of the IM Parameters at Standstill

List of Symbols

**Neural-Enhanced Single-Phase DG Systems with APF Capability**

Introduction

General Operating Principle

ADALINE Design Criteria

Building the Current Reference

Multiresonant Current Controller

Stability Issues

Test Rig

Experimental Results

APF Connection Procedure

**Neural Sensorless Control of AC Drives**

NN-Based Sensorless Control

BPN-Based MRAS Speed Observer

LS-Based MRAS Speed Observer

TLS EXIN Full-Order Luenberger Adaptive Observer

MCA EXIN + Reduced-Order Observer

Appendix A: Implemented Control Schemes

Appendix B: Description of the Test Setup

List of Symbols

**Index**

*All chapters include references.*