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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
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...
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
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...
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...
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