Comparative mechanical dynamic analysis of permanent magnet generator using finite element and fuzzy methods

被引：0

作者：

Kumar, Ajay ^{[1
]}

Marwaha, Sanjay ^{[2
]}

Singh, Amarpal ^{[1
]}

Marwaha, Anupama ^{[2
]}

机构：

[1] Department of Electronics and Comm. Engg, Beant College of Engg. and Technology, Gurdaspur (Punjab), India

[2] Department of Electrical and Inst. Engg, Sant Longowal Inst. of Engg and Technology, Longowal (Punjab), India

来源：

Open Automation and Control Systems Journal | 2009年 / 2卷 / 01期

关键词：

Fuzzy neural networks - Winding - Fuzzy inference - Permanent magnets - Dynamic mechanical analysis - Fuzzy systems - Synchronous generators;

D O I：

10.2174/1874444300902010008

中图分类号：

学科分类号：

摘要：

This paper describes the fuzzy modeling of permanent magnet generator for studying its mechanical dynamic analysis. Firstly electromagnetic torque analysis of the generator is carried out using finite element based package. Then fuzzy model of the generator is developed. Performance was evaluated by comparing, integrated fuzzy model, individual fuzzy model and finite element model for the generator. Fuzzy models were developed using adaptive neuro-fuzzy inference system (ANFIS). It is observed that system MI has a significant effect on optimal winding inductance to achieve steady state operation in shortest period of time. The winding leakage inductance should be reduced for achieving steady state operation in shortest time. © Kumar et al.; Licensee Bentham Open.

引用

页码：8 / 12

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