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In this paper, the characteristics of a novel synchronous permanent planar motor (SPMPM) are calculated firstly by analytical method. Then the force optimization is accomplished by using genetic algorithm. Finally the comparisons between the original and the optimal model are accomplished. The rationality is verified by the experiment data
To enhance the global search ability of population based incremental learning (PBIL) methods, it is proposed that multiple probability vectors are to be included on available PBIL algorithms. As a result, the strategy for updating those probability vectors and the negative learning and mutation operators are redefined as reported. Numerical examples are reported to demonstrate the pros and cons of...
In order to use the information gathered from all non-dominated solutions of an optimizer and to guide the search toward more and better Pareto solutions, this paper proposes an efficient and robust vector optimal algorithm that integrates approximation techniques into an improved genetic algorithm. Numerical results are reported to validate the proposed work
This paper presents a magneto mechanical coupling hysteresis model for a magnetic force control device based on the Jiles-Atherton equation, the law of approach equation and the equivalent magnetic circuit of the device, and determines the parameters of the model by the genetic algorithm. Comparisons between the calculated and measured results show the validity of the model
The majority of genetic algorithm applications in electromagnetic design have focused on optimization of device dimensions. This approach preconceives the final device shape. To facilitate the evolution of complex and creative designs through genetic algorithms, novel genomes and genetic operators may be required. One such approach is introduced for the evolution of patch antennas for dual-frequency...
Exploring the vast search space of possible wire antenna designs is a task well-suited for genetic algorithms. Many of the current implementations use a direct mapping between genome and antenna feature. We explore the evolution of antennas using a growth process. The design of wire antennas for communication applications demonstrates the capabilities of this approach
The paper describes an efficient technique for optimizing the shape of the patch of a multi-band antenna by means of genetic algorithms and a hybrid finite element - robin boundary condition iteration method, for the analysis of open-boundary scattering and radiation electromagnetic field problems. The admissible rectangular patch area is logically and regularly subdivided into rectangular sub-areas,...
In order to resolve closely spaced targets in a planar surface normal to the beam, the antenna used in the radar assessment of concrete structures should have a narrow beam width which means a higher directivity. This work presents a procedure to optimize the field pattern of a bow-tie antenna using multi-objective genetic algorithms in conjunction with a MoM direct solver
A new algorithm combining genetic algorithm (GA) and simulated annealing (SA) algorithm with significant improvements on efficiency is proposed. Based on the calculation of the electromagnetic field, the optimization design of a bi-stable permanent magnetic (PM) actuator for a 40.5 kV vacuum circuit breaker (VCB) is developed
This paper presents the optimization method employing the genetic algorithm (GA) combined with the moment method (MOM). This method is applied to a resonant band pass filter (BPF). The validity of the proposed method is confirmed through the comparison of filter characteristics between the initial and optimized geometries
An automatic mesh generator of triangular finite elements, based on an artificial neural network (ANN), is optimized by means of genetic algorithms. The optimization concerns the various parameters which are defined in the generator, whereas the objective function is related to the mesh quality. By means of this optimization the generator obtains very high-quality meshes
This paper presents the optimal location and geometry of a magnetic shunt in a distribution power transformer. To speed up the problem solution, it is divided into two cases; firstly, an axisymmetric FE model is used to find its vertical placement and secondly, a 3D magnetodynamic FE model is employed to find the remaining dimensions. A genetic algorithm and the Powell method are used to find a global...
The scope of this paper is the parameter evaluation of equations that possibly can describe the current during an electrostatic discharge, using genetic algorithms. It is necessary to find an equation for the electrostatic discharge current, because there are aberrations among simulations and the waveform described in the IEC 61000-4-2 standard. In this work the genetic algorithm has been applied...
In this paper, synchronous permanent magnet planar motor (SPMPM) with Halbach array is proposed for its high energy density. Genetic algorithm is applied to optimize the thrust of the proposed SPMPM based on six variables. The thrust is remarkably improved form 31.93[N] to 38.92[N]
This paper proposes tolerance design of a switched reluctance motor with barriers. The shape and dimensional tolerance of the rotor barrier directly influence the motor performance such as torque ripple. Therefore, a manufacturing design guide with respect to the barrier is required, and it can be achieved by the tolerance allocation of the shape of the rotor barrier. In this paper, stochastic response...
This paper presents a first topological optimization approach for a sinusoidal interior permanent magnet synchronous machine. A coupled nonlinear 2D FE-GA technique was used. The goal of the optimal design was the synthesis of a maximal sinusoidal back-EMF and simultaneously the minimization of the cogging torque. Two novel rotor topologies for minimal cogging torque and maximal, sinusoidal pole flux...
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