Power Magnetic Devices

Power Magnetic Devices
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Power Magnetic Devices Discover a cutting-edge discussion of the design process for power magnetic devices In the newly revised second edition of Power Magnetic Devices: A Multi-Objective Design Approach , accomplished engineer and author Dr. Scott D. Sudhoff delivers a thorough exploration of the design principles of power magnetic devices such as inductors, transformers, and rotating electric machinery using a systematic and consistent framework. The book includes new chapters on converter and inverter magnetic components (including three-phase and common-mode inductors) and elaborates on characteristics of power electronics that are required knowledge in magnetics. New chapters on parasitic capacitance and finite element analysis have also been incorporated into the new edition. The work further includes: A thorough introduction to evolutionary computing-based optimization and magnetic analysis techniques Discussions of force and torque production, electromagnet design, and rotating electric machine design Full chapters on high-frequency effects such as skin- and proximity-effect losses, core losses and their characterization, thermal analysis, and parasitic capacitance Treatments of dc-dc converter design, as well as three-phase and common-mode inductor design for inverters An extensive open-source MATLAB code base, PowerPoint slides, and a solutions manual Perfect for practicing power engineers and designers, Power Magnetic Devices will serve as an excellent textbook for advanced undergraduate and graduate courses in electromechanical and electromagnetic design.

Оглавление

Scott D. Sudhoff. Power Magnetic Devices

Table of Contents

List of Tables

List of Illustrations

Guide

Pages

Power Magnetic Devices. A Multi‐Objective Design Approach

Author Biography

Preface

About the Companion Site

1 Optimization‐Based Design

1.1 Design Approach

1.2 Mathematical Properties of Objective Functions

1.3 Single‐Objective Optimization Using Newton’s Method

Example 1.3A

1.4 Genetic Algorithms: Review of Biological Genetics

1.5 The Canonical Genetic Algorithm

Example 1.5A

Example 1.5B

1.6 Real‐Coded Genetic Algorithms

Encoding

Crossover

Mutation

Example 1.6A

Scaling

Diversity Control

Elitism

Migration

Death

Local Search

Deterministic Search

Enhanced Real‐Coded Genetic Algorithm

1.7 Multi‐Objective Optimization and the Pareto‐Optimal Front

1.8 Multi‐Objective Optimization Using Genetic Algorithms

Example 1.8A

1.9 Formulation of Fitness Functions for Design Problems

1.10 A Design Example

References

Problems

2 Magnetics and Magnetic Equivalent Circuits

2.1 Ampere’s Law, Magnetomotive Force, and Kirchhoff’s MMF Law for Magnetic Circuits

Example 2.1A

2.2 Magnetic Flux, Gauss’s Law, and Kirchhoff’s Flux Law for Magnetic Circuits

Example 2.2A

2.3 Magnetically Conductive Materials and Ohm’s Law For Magnetic Circuits

Magnetic Materials

Ohm’s Law

2.4 Construction of the Magnetic Equivalent Circuit

Example 2.4A

2.5 Translation of Magnetic Circuits to Electric Circuits: Flux Linkage and Inductance

Flux Linkage

Inductance

Faraday’s Law

Example 2.5A

Example 2.5B

2.6 Representing Fringing Flux in Magnetic Circuits

Example 2.6A

2.7 Representing Leakage Flux in Magnetic Circuits

Energy Storage in Magnetically Linear Systems

Slot Leakage Flux Permeance

Exterior Adjacent Conductor Leakage Flux Permeance

Exterior Isolated Conductor Leakage Flux Permeance

Incorporation of Leakage Flux Permeances into UI‐Core Inductor

2.8 Numerical Solution of Nonlinear Magnetic Circuits

Standard Branch

Nodal Analysis

Example 2.8A

Mesh Analysis

Example 2.8B

Comparison of Nodal and Mesh Analysis

Example 2.8C

Nonlinear Analysis of Magnetic Equivalent Circuits

Application to UI‐Core Inductor

Example 2.8D

2.9 Permanent Magnet Materials and Their Magnetic Circuit Representation

Example 2.9A

2.10 Closing Remarks

References

Problems

3 Introduction to Inductor Design

3.1 Common Inductor Architectures

3.2 DC Coil Resistance

Example 3.2A

3.3 DC Inductor Design

Problem Formulation

3.4 Case Study

3.5 Closing Remarks

References

Problems

4 Force and Torque

4.1 Energy Storage in Electromechanical Devices

4.2 Calculation of Field Energy

Example 4.2A

Example 4.2B

4.3 Force from Field Energy

Example 4.3A

Example 4.3B

4.4 Co‐Energy

Example 4.4A

Example 4.4B

4.5 Force from Co‐Energy

Example 4.5A‐1

4.6 Conditions for Conservative Fields

Example 4.6A-1

4.7 Magnetically Linear Systems

4.8 Torque

4.9 Calculating Force Using Magnetic Equivalent Circuits

References

Problems

5 Introduction to Electromagnet Design

5.1 Common Electromagnet Architectures

5.2 Magnetic, Electric, and Force Analysis of an Ei‐Core Electromagnet

Electrical Analysis

Magnetic Analysis

Force Analysis

Example 5.2A

5.3 EI‐Core Electromagnet Design

Problem Formulation

5.4 Case Study

References

Problems

6 Magnetic Core Loss and Material Characterization

6.1 Eddy Current Losses

Example 6.1A

6.2 Hysteresis Loss and the B–H Loop

6.3 Empirical Modeling of Core Loss

The Steinmetz Equation

4.5 The Modified Steinmetz Equation

Example 6.3A

The Series Modified Steinmetz Equation

The Generalized Steinmetz Equation

Example 6.3B

Combined Loss Modeling

Example 6.3C

Temperature Dependence

6.4 Magnetic Material Characterization

Epstein Frame

Single‐ and Double‐Sheet Testers

Toroidal Tester

Considerations When Characterizing Laminated and Tape‐Wound Samples

6.5 Measuring Anhysteretic Behavior

Excitation and Data Collection

Anhysteretic Data

2.8 Impact of Radial Field Variation

Example 6.5A

Characterization of μB (B)

Example 6.5B

6.6 Characterizing Behavioral Loss Models. Measuring Power Loss Density

Loss Characterization Assuming Uniform Fields

Example 6.6A

Loss Characterization with Spatially Varying Fields

Example 6.6B

6.7 Time‐Domain Loss Modeling: the Preisach Model

6.8 Time‐Domain Loss Modeling: the Extended Jiles–Atherton Model

Example 6.8A

References

Problems

7 Transformer Design

7.1 Common Transformer Architectures

7.2 T‐Equivalent Circuit Model

7.3 Steady‐State Analysis

Example 7.3A

7.4 Transformer Performance Considerations

Calculation of Lumped Parameters

Regulation

Magnetizing Characteristics

Operating Point Analysis

No Load, Full Load, and Overload Analysis

Inrush Current

7.5 Core‐Type Transformer Configuration

7.6 Core‐Type Transformer MEC

7.7 Core Loss

7.8 Core‐Type Transformer Design

Design Space

Metrics and Constraints

Calculation of Fitness

7.9 Case Study

7.10 Closing Remarks

References

Problems

8 Distributed Windings and Rotating Electric Machinery

8.1 Describing Distributed Windings

Discrete Description of Distributed Windings

Continuous Description of Distributed Windings

Symmetry Conditions on Conductor Distributions

Converting Between Discrete and Continuous Descriptions of Distributed Windings

End Conductors

Common Winding Arrangements

8.2 Winding Functions

Example 8.2A

8.3 Air‐Gap Magneto Motive Force

8.4 Rotating MMF

8.5 Flux Linkage and Inductance

8.6 Slot Effects and Carter’s Coefficient

8.7 Leakage Inductance

8.8 Resistance

8.9 Introduction to Reference Frame Theory

Park’s Transformation

Transformation of a Balanced Set

Transformation of Voltage Equations

Transformation of Flux Linkage Equations

Transformation of Power

8.10 Expressions for Torque

An Energy‐Based Approach to Calculating Torque

A Field Approach to Calculating Torque

References

Problems

9 Introduction to Permanent Magnet AC Machine Design

9.1 Permanent Magnet Synchronous Machines

9.2 Operating Characteristics of PMAC Machines

Machine Model in QD Variables

Three‐Phase Bridge Inverter

Voltage Source Operation

Example 9.2A

Current Source Operation

Example 9.2B

9.3 Machine Geometry

9.4 Stator Winding

9.5 Material Parameters

9.6 Stator Currents and Control Philosophy

9.7 Radial Field Analysis

Stator MMF

Radial Field Variation

Air‐Gap MMF Drop

Permanent Magnet MMF

Solution for Radial Flux Density

9.8 Lumped Parameters

9.9 Ferromagnetic Field Analysis

Stator Tooth Flux

Stator Backiron Flux

Stator Core Loss

Rotor Flux

Permanent Magnetic Field Intensity

9.10 Formulation of Design Problem

Design Space

Design Metrics

Design Constraints

Design Fitness

9.11 Case Study

9.12 Extensions

References

Problems

10 Introduction to Thermal Equivalent Circuits

10.1 Heat Energy, Heat Flow, and the Heat Equation

10.2 Thermal Equivalent Circuit of One‐Dimensional Heat Flow

Example 10.2A

Example 10.2B

10.3 Thermal Equivalent Circuit of a Cuboidal Region

10.4 Thermal Equivalent Circuit of a Cylindrical Region

Axial Heat Flow

Radial Heat Flow

10.5 Inhomogeneous Regions

Example 10.5A

10.6 Material Boundaries

Contact Resistance

Convective Heat Transfer

Radiation

10.7 Thermal Equivalent Circuit Networks

Thermal Equivalent Circuit Laws

Standard Branch

Nodal Network Analysis

Graphical Element Representation

10.8 Case Study: Thermal Model of Electromagnet

Thermal Representation of a Rounded Corner

Winding to Core Resistance

Air Gap Thermal Resistance

Thermal Equivalent Circuit Architecture

Electro‐Thermal Analysis

Examples

Example 10.8A

Example 10.8B

References

Problems

11 Alternating Current Conductor Losses

11.1 Skin Effect in Strip Conductors

Example 11.1A

Example 11.1B

11.2 Skin Effect in Cylindrical Conductors

Example 11.2A

11.3 Proximity Effect in a Single Conductor

11.4 Independence of Skin and Proximity Effects

11.5 Proximity Effect in a Group of Conductors

Proximity‐Effect Loss in Terms of Flux Density

Round Conductors

Dynamic Resistance and Multi‐winding Systems

11.6 Relating Mean‐Squared Field and Leakage Permeance

11.7 Mean‐Squared Field for Select Geometries

Exterior Adjacent Conductors

8.7 Exterior Isolated and Non‐gapped Closed‐Slot Conductors

Open‐Slot Conductors

Gapped Closed‐Slot Conductors

11.8 Conductor Losses in Rotating Machinery

Example 11.8A

Example 11.8B

11.9 Conductor Losses in a UI‐Core Inductor

Example 11.9A

11.10 Closing Remarks

References

Problems

12 Parasitic Capacitance

12.1 Modeling Approach

12.2 Review of Electrostatics

Parallel Plate Capacitance

Curved Plate Capacitance

Insulated Conductor Capacitance

Capacitance between Isolated Conductive Cylinders

12.3 Turn‐to‐Turn Capacitance

Simple Coil

Turn‐to‐Turn Capacitance of an Orthogonally Wound Coil

Turn‐to‐Turn Capacitance in an Orthocyclicly Wound Coil

Dynamic Turn‐to‐Turn Capacitance

Example 12.3A

12.4 Coil‐to‐Core Capacitance

Example 12.4A

12.5 Layer‐to‐Layer Capacitance

Example 12.5A

12.6 Capacitance in Multi‐Winding Systems

12.7 Measuring Capacitance

Example 12.7A

References

Problems

13 Buck Converter Design

13.1 Buck Converter Analysis

Operation

Time‐Domain Analysis

Average‐Value Analysis

Input Filter Ripple

Output Filter Ripple

13.2 Semiconductors

Conduction Loss

Switching Loss

Effective Forward Voltage Drops

Encapsulation

13.3 Heat Sink

Example 13.3A

13.4 Capacitors

13.5 UI‐Core Input Inductor

Example 13.5A

13.6 UI‐Core Output Inductor

Geometry

Magnetic Analysis

UI‐Core Inductor Losses

Thermal Model

Capacitance

13.7 Operating Point Analysis

Operating Point Analysis Algorithm

Encapsulation

13.8 Design Paradigm

13.9 Case Study

13.10 Extensions

References

Problems

14 Three‐Phase Inductor Design

14.1 System Description

Phase‐Leg Operation

Modulation

Control

QD Transformation

Circuit Analysis

Steady‐State Analysis

Time‐Domain Simulation

Example 14.1A

Impact of Saliency

Example 14.1B

Design Approach

14.2 Inductor Geometry

14.3 Magnetic Equivalent Circuit

Elementary Analysis

Detailed Magnetic Equivalent Circuit Architecture

Interior Fringing

Interior Leakage

Exterior Fringing and Leakage

Face Fringing and Leakage

Permeance Aggregation

Dynamic Resistance

Magnetic Equivalent Circuit Encapsulation

Magnetic Equivalent Circuit Execution

14.4 Magnetic Analysis

Incremental Inductance

Low‐Frequency Core Loss

High‐Frequency Core Loss

Proximity Effect Losses

Encapsulation

14.5 Inductor Design Paradigm

Design Space

Metrics

Constraints

Calculation of Fitness

14.6 Case Study

References

Problems

15 Common‐Mode Inductor Design

15.1 Common‐Mode Voltage and Current

15.2 System Description

15.3 Common‐Mode Equivalent Circuit

DC Source and Capacitors

Common‐Mode Inductor

Power Block Input Network

Power Block

3-Phase Inductor

3-Phase Capacitor and AC System

Simplified Common‐Mode Equivalent Circuit

15.4 Common‐Mode Inductor Specification

Common‐Mode Flux Linkage

Example 15.4A

Worst‐Case Common‐Mode Flux Linkage

Example 15.4B

Proxy Common‐Mode Flux Linkage

Example 15.4C

15.5 UR‐Core Common‐Mode Inductor

Topology

15.6 UR‐Core Common‐Mode Inductor Magnetic Analysis

15.7 Common‐Mode Inductor Design Paradigm

Design Space

Metrics

Constraints

Calculation of Fitness

15.8 Common‐Mode Inductor Case Study

References

Problems

16 Finite Element Analysis

16.1 Maxwell’s and Poisson’s Equations

16.2 Finite Element Analysis Formulation

16.3 Finite Element Analysis Implementation

Example 16.3A

Example 16.3B

16.4 Closing Remarks

References

Problems

Appendix A Conductor Data and Wire Gauges

References

Appendix B Selected Ferrimagnetic Core Data

Reference

Appendix C Selected Magnetic Steel Data

Reference

Appendix D Selected Permanent Magnet Data

Reference

Appendix E Phasor Analysis

Appendix F Trigonometric Identities

Index. a

b

c

d

e

f

g

h

i

j

k

l

m

n

o

p

q

r

s

t

u

v

w

Books in the IEEE Press Series on Power and Energy Systems

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.....

A final mutation operator we will consider is integer mutation. Recall that in integer coding, we are representing integers as real numbers and mapping them to a discrete set of values within [0,1]. In the case of integer‐coded genes, the mutation operators just described are not appropriate. Thus, it is convenient to use a total mutation of these genes with the result discretized to the allowed values.

The mutation operators just described all have uniform and nonuniform versions. In uniform versions, the parameters of the algorithms (the mutation rates, and standard deviations of mutation amount) are constant with respect to generation number. In nonuniform mutation, these rates vary. Normally, high mutation rates and large standard deviations are used at the beginning of evolution while smaller rates and standard deviations are used toward the end of the study when the population is mature from an evolutionary point of view.

.....

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