An Optimal Design Method for Doubly Salient Hybrid Excitation Generator Based on Taguchi Method

Abstract

The invention discloses an optimal design method for a doubly salient pole hybrid excitation generator based on the Taguchi method, and belongs to the field of multi-parameter and multi-objective optimization of doubly salient pole hybrid excitation generators. The method includes: (1) selecting the quality characteristic of the response and judging its ideal value; (2) selecting factors affecting the quality characteristic; (3) determining the objective function and comprehensive calculation method; (4) establishing an orthogonal table; ( 5) Carry out experiments; (6) Carry out mean value analysis and variability analysis to confirm the optimal design scheme. Compared with the number of traditional parametric simulation experiment groups, the number of experimental groups of this optimization method is greatly reduced, the design cycle is greatly shortened, and the optimization efficiency is greatly improved, which is conducive to the large-scale industrial application of this kind of motor; compared with the traditional magnetic circuit method The method of designing the motor has high design precision and small error; it has good portability and is convenient for further rapid optimization of industrial products.

Description

technical field [0001] The invention belongs to the field of multi-parameter and multi-objective optimization of double salient pole hybrid excitation generators, and specifically relates to a method for optimal design of double salient pole hybrid excitation generators based on the Taguchi method. The analysis method is used to design the voltage performance parameters of the doubly salient hybrid excitation generator, and the voltage regulation rate, voltage mean value and voltage fluctuation coefficient of the generator are considered comprehensively to achieve the purpose of optimization. Background technique [0002] The doubly salient pole hybrid excitation generator has the advantages of simple structure, high reliability, high energy density, and a wide efficient operating area. It is widely used in APU devices such as automobiles, tank armor, towed artillery, and submarines. In recent years, with the development and advancement of electric vehicles, the application ...

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Problems solved by technology

The result of traditional magnetic circuit design is not accurate enough. Although the method of parametric finite element analysis can achieve better design accuracy, due to the large number of design target parameters and the complexity of the optimization process, the design cycle will be greatly increased and the optimization efficiency will be reduced.

In addition, it is difficult to quickly analyze and describe the influence relationship between each optimization parameter and the optimization goal with the method of enumerating parameterization

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