| 基于GA-ANFIS的开关磁阻电机建模 |
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| 引用本文： | 许爱德,樊印海,李自强. 基于GA-ANFIS的开关磁阻电机建模[J]. 电机与控制学报, 2011, 15(7): 54-59 |
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| 作者姓名： | 许爱德 樊印海 李自强 |
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| 作者单位： | 大连海事大学信息科学技术学院,辽宁大连l16026 |
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| 基金项目： | 国家经贸委“十一五”重大技术装备电力推进技术研制项目(JDRo-Z4-01) |
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| 摘 要： | 针对在使用自适应神经网络模糊推理系统对开关磁阻电机进行建模的过程中收敛速度慢的问题,采用将遗传算法和自适应神经网络模糊推理系统相结合的开关磁阻电机建模方法.网络结构仍然采用具有很强鲁棒性和自适应性的Takagi-Sugeno模型,而在网络参数训练时将遗传算法与自适应神经网络模糊推理系统的传统混合学习算法相结合,以提高训...
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| 关 键 词： | 开关磁阻电机 建模 自适应网络模糊推理系统 遗传算法 |
Modeling of switched reluctance motor based on GA-ANFIS |
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| XU Ai-de,FAN Yin-hai,LI Zi-qiang. Modeling of switched reluctance motor based on GA-ANFIS[J]. Electric Machines and Control, 2011, 15(7): 54-59 |
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| Authors: | XU Ai-de FAN Yin-hai LI Zi-qiang |
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| Affiliation: | XU Ai-de,FAN Yin-hai,LI Zi-qiang(College of Information Science and Technology,Dalian Maritime University,Dalian 116026,China) |
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| Abstract: | To improve the convergence speed of modeling for switched reluctance motor(SRM) using adaptive network based fuzzy inference system(ANFIS),a mathematic model for SRM was proposed.This method combined the genetic algorithms(GA) with ANFIS.The fuzzy neural networks adopted Takagi-Sugeno model which has strong robustness and adaptability.GA were introduced to traditional hybrid algorithm of ANFIS to improve the training speed during parameter training.Based on testing sample data of 8/6 SRM,the inductance and ... |
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| Keywords: | switched reluctance motors modeling adaptive network based fuzzy inference system genetic algorithms |
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