Optimization and Inverse Problems in Electromagnetism

Front Cover
Marek Rudnicki, Slawomir Wiak
Springer Science & Business Media, Apr 17, 2013 - Mathematics - 336 pages

From 12 to 14 September 2002, the Academy of Humanities and Economics (AHE) hosted the workshop "Optimization and Inverse Problems in Electromagnetism". After this bi-annual event, a large number of papers were assembled and combined in this book. During the workshop recent developments and applications in optimization and inverse methodologies for electromagnetic fields were discussed. The contributions selected for the present volume cover a wide spectrum of inverse and optimal electromagnetic methodologies, ranging from theoretical to practical applications. A number of new optimal and inverse methodologies were proposed. There are contributions related to dedicated software.

Optimization and Inverse Problems in Electromagnetism consists of three thematic chapters, covering:
-General papers (survey of specific aspects of optimization and inverse problems in electromagnetism),
-Methodologies,
-Industrial Applications.

The book can be useful to students of electrical and electronics engineering, computer science, applied mathematics (PhD level) and to researchers interested in the topic.
 

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Contents

General Papers
1
Applications
15
Comparing Stochastic Methods on SMES Optimization 21
20
Symbolic Treatment on Equation Based Models to Prepare
45
A Contribution to Benchmarking
61
A New Method for Optimizing the Designing of Grounding Grids
63
Specific Use of the Matrix Approach
71
Use of Discretization and Solution History in Stochastic Optimization
79
Identification of Industrial Electromagnetic Field Sources
193
Capitalisation and Treatment of Models for the Optimization of Electric Drives 205
204
Application of Screening Analysis to the Optimization of an
213
Identification of Conductivity Distribution in A AuAl Junction
223
Inverse Problem of Voltage Over Electrostatic Shield 233
232
Optimization of the Force Characteristic of a Solenoid
261
Optimization of PermanentMagnet DC Motors Using Orthogonal Arrays
269
Identification of Field Models Parameters in the Turbine
277

A Genetic Algorithm Method for Determining the Maximum
85
Optimization Techniques Benefits for Magnetic Component Design
93
Numerical Optimization Methods in Magnet Design
101
The Use of Quasired and Quasiyellow Nonobtuse Refinements
113
E S Optimization Using the Experimental Design Method 139
138
Optimal Design of Axial Field Silicon Micromotor by Use of
151
Exponential family and inverse problems
161
Topological Evolution and Inverse Problems
181
Permanent Magnet Machine Optimization by using
287
Optimization Under Constraints of Static Converters
295
Nondestructive Quality Testing of High Temperature Superconducting
303
Increasing of Output Power Capability in a FluxWeakened
315
A Method of Shortening Breaking Time of the Magnetic
323
Authors Index
335
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