基于数值方法的三相磁极电机建模及性能预测

Q4 Mathematics

Philippine Statistician Pub Date : 2022-07-19 DOI:10.17762/msea.v71i3s.3

Manjunath B. Ranadev, V. R. Sheelavant, R. L. Chakrasali

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引用次数: 0

摘要

建模越来越受到研究人员的关注。将物理系统转换为数学基础对于分析系统的行为非常重要。各种工程问题的解决取决于适当的数学模型。微分方程是电机数学建模的基本工具。使用描述机器性能的模型来分析三相写极电机的动态行为。三相写极电机的数学建模将有助于我们进行数值分析。它为创建应用程序提供了见解和有用的指导。介绍了一种研究三相写极电动机稳态性能的方法。使用了高斯-塞德尔方法和逐次过松弛方法等数值工具。这项研究为进一步的研究和开发奠定了基础。

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Modeling of Three-Phase Written-Pole Motor and Performance Predetermination using Numerical Methods

Modeling has attracted increasing attention from researchers. A physical system transformation to a mathematical base is important to analyse the behaviour of the system. The solution of various engineering problems depends on appropriate mathematical models. Differential equations are the basic tool for the mathematical modeling of electric machines. A model that describes the machine performance is used to analyse the dynamic behaviour of a 3-phase written-pole motor. Mathematical modeling of a 3-phase written-pole motor will help us to do the numerical analysis. It provides insight and useful guidance for originating the applications. A method for studying the behaviour of a 3-phase written-pole motor under steady state condition is described. The numerical tools such as Gauss-Seidel method and Successive Over-Relaxation method are used. This study forms the foundation for further research and development.

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来源期刊

Philippine Statistician Mathematics-Statistics and Probability

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics:  Official Statistics  Computational Statistics  Simulation Studies  Mathematical Statistics  Survey Sampling  Statistics Education  Time Series Analysis  Biostatistics  Nonparametric Methods  Experimental Designs and Analysis  Econometric Theory and Applications  Other Applications