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一种横磁通风力发电机的建模及参数优化设计

包广清 郑文鹏 江建中 毛开富

农业工程学报2012,Vol.28Issue(3):74-80,7.
农业工程学报2012,Vol.28Issue(3):74-80,7.DOI:10.3969/j.issn.1002-6819.2012.03.014

一种横磁通风力发电机的建模及参数优化设计

Modeling and optimization of transverse flux permanent magnet generator

包广清 1郑文鹏 2江建中 2毛开富1

作者信息

  • 1. 兰州理工大学电气与信息工程学院,兰州730050
  • 2. 上海大学机电工程及自动化学院,上海200072
  • 折叠

摘要

Abstract

Transverse Flux Permanent Magnet Generator (TFPMG) is a new but appears to be interesting candidate in direct-driven wind turbines for high electromotive force (EMF) density in air-gap and high efficiency at low speed. However, the output voltage of TFPMG with high quality is the crucial issue for back to back converter. To lower harmonic contents of EMF, a novel modeling and optimization method which incorporates Least Squares Support Vector Machines (LSSVM), Orthogonal Design Method (ODM), and Particle Swarm Optimization (PSO) in generator design procedure was presented. Based on the three-dimensional finite element method with scalar potential, the relationships between the machine parameters with leakages were investigated. The ODM was used to generate geometric information of trial samples. Function approximation of sample information performed by the LSSVM regression analysis provides an efficient way for parameters optimization with large-scale iterative computation. With the global search ability as well as the independence on original solution characteristics, PSO algorithm was employed to find the optimal design, which can guarantee the harmonic coefficients of non-load output voltage up to 14.36%, lower than original design. The measured result obtained from a 1.5 kW prototype test rig evaluates the effectiveness of the nonparametric modeling and the optimization method.

关键词

发电机/优化设计/支持向量机/正交设计/粒子群算法

Key words

electric generators/optimal design/support vector machines/orthogonal design/particle swarm algorithm

分类

信息技术与安全科学

引用本文复制引用

包广清,郑文鹏,江建中,毛开富..一种横磁通风力发电机的建模及参数优化设计[J].农业工程学报,2012,28(3):74-80,7.

基金项目

国家自然科学基金项目(50877034),甘肃省科技支撑计划项目(1011JKCAi73) (50877034)

农业工程学报

OA北大核心CSCDCSTPCD

1002-6819

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