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Titlebook: Computational Methods for the Innovative Design of Electrical Devices; Sławomir Wiak,Ewa Napieralska-Juszczak Book 2011 Springer Berlin He

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书目名称Computational Methods for the Innovative Design of Electrical Devices
编辑Sławomir Wiak,Ewa Napieralska-Juszczak
视频video
概述Recent developments in Computational Methods for the Innovative Design of Electrical Devices.Edited outcome of the International Symposium on Electromagnetic Fields in Electrical Engineering ISEF‘09,
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Methods for the Innovative Design of Electrical Devices;  Sławomir Wiak,Ewa Napieralska-Juszczak Book 2011 Springer Berlin He
描述Computational Methods for the Innovative Design of Electrical Devices isentirely 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, transfo
出版日期Book 2011
关键词Computational Intelligence; Computational Methods; Electrical devices; Innovative Design
版次1
doihttps://doi.org/10.1007/978-3-642-16225-1
isbn_softcover978-3-642-42303-1
isbn_ebook978-3-642-16225-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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Multi-objective Design Optimization of Slotless PM Motors Using Genetic Algorithms Based on Analytiation of the average torque and the reduction of the slotless PM motors mass. Firstly a magnetic analytical model of the motor is developed to define an optimization problem and a set of design constraints. Then, the (NSGAII) algorithm is used to solve this optimization problem.
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The FEM Parallel Simulation with Look Up Tables Applied to the Brushless DC Motor Optimization,ve its performance. Although, its relevance for electric machine design has been proved, its drawbacks are time consuming calculations. Therefore, it is proposed a novel parallel solver to the FEM modeling technique. However, the presented simulation algorithm is limited to magnetic linear models wi
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Simple and Fast Algorithms for the Optimal Design of Complex Electrical Machines, (PM) motor whose auxiliary winding is supplied through a capacitor is a kind of the complex electrical machine. The exact motor performance analysis using two-axis theory is very difficult because the operation has been complicated by the imbalance between the main and auxiliary winding voltages. B
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The Flock of Starlings Optimization: Influence of Topological Rules on the Collective Behavior of Secent naturalistic observations on collective animal behaviour, performed by M. Ballerini et al. The presented algorithm implements a virtual flock governed by topological interactions between its members. The proposed approach has been validated by using classical benchmarks and compared with diffe
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Parametric Identification of a Three-Phase Machine with Genetic Algorithms,ometry design are analyzed. The analysis has been made with simulations of static configurations. For each geometry an identification of the parametric model has been obtained. For the optimization of the parameters, Genetic Algorithms (GA) have been used as a robust optimization method.
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Ridge Polynomial Neural Network for Non-destructive Eddy Current Evaluation,ckpropagation learning algorithm, and can get trapped in local minima, this work deals with ridge Polynomial Neural Networks (RPNN), which maintain fast learning properties and powerful mapping capabilities of single layer High Order Neural Networks (HONN). The RPNN is constructed from a number of i
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Structural-Systematic Approach in Magnetic Separators Design,ctural and functional variety of magnetic separators has been grounded. It has been demonstrated that structural-systematic approach is a methodological basis able to provide completeness of magnetic separator structures synthesis at the stage of a search design and to make this synthesis directed.
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