Computational Methods for the Innovative Design of Electrical Devices
Published on 21. October 2010
XV, 370 pages
978-3-642-16225-1 (ISBN)
Description
Computational Methods for the Innovative Design of Electrical Devices is
entirely focused on the optimal design of various classes of electrical devices. Emerging new methods, like e.g. those based on genetic algorithms, are presented and applied in the design optimization of different devices and systems. Accordingly, the solution to field analysis problems is based on the use of finite element method, and analytical methods as well. An original aspect of the book is the broad spectrum of applications in the area of electrical engineering, especially electrical machines. This way, traditional design criteria of conventional devices are revisited in a critical way, and some innovative solutions are suggested. In particular, the optimization procedures developed are oriented to three main aspects: shape design, material properties identification,
machine optimal behaviour.
Topics covered include:
New parallel finite-element solvers
Response surface method
Evolutionary computing
Multiobjective optimization
Swarm intelligence
MEMS applications
Identification of magnetic properties of anisotropic laminations
Neural networks for non-destructive testing
Brushless DC motors, transformers
Permanent magnet disc motors, magnetic separators
Magnetic levitation systems
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Slawomir Wiak | Ewa Napieralska Juszczak
Computational Methods for the Innovative Design of Electrical Devices
Book
10/2010
Springer
€160.49
Shipment within 7-9 days
Content
Integrated Computer Models of 3-D Comb Drive Electrostatic MEMS Structures .-Multiobjective Design Optimization of Slotless PM Motors Using Genetic.- Algorithms based on Analytical Field Calculation.- The FEM parallel simulation with look up tables applied to the brushless DC motor optimization.- Fast algorithms for the design of complex-shape devices in electromechanics.- Optimization of Wound Rotor Synchronous Generators based on Genetic Algorithms.- Simple and Fast Algorithms for the Optimal Design of Complex Electrical Machines.-The flock of starlings optimization: influence of topological rules on the collective behavior of swarm intelligence.- Multilevel Data Classification and Function Approximation Using Hierarchical Neural Networks.- Parametric identification of a three-phase machine with genetic algorithms.- Ridge Polynomial Neural Network for Non-Destructive Eddy Current Evaluation.- Structural-Systematic Approach in Magnetic Separators Design.- Weight Reduction of Electromagnet in Magnetic Levitation System for Contactless Delivery Application.- Genetic algorithm algorithm applied in optimal design of PM disc motor using specific power as objective.- Magnetically Nonlinear Iron Core Characteristics of Transformers Determined by Differential Evolution.- Different Methods for Computational Electromagnetics: their Characteristics and Typical Pratical Applications.-Methods of homogenization of laminated structures.-Application examples.
