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基于单神经元的永磁同步电机解耦控制
  • 期刊名称:控制理论及应用
  • 时间:0
  • 页码:933-935
  • 分类:TM351[电气工程—电机] TM303[电气工程—电机]
  • 作者机构:[1]电子科技大学机械电子工程学院,四川成都611731
  • 相关基金:基金项目:国家自然科学基金(60971037)
  • 相关项目:Jacobian函数波导在可再生能源中的应用研究
作者: 李晓宁|
中文摘要:

为使永磁同步电机空载气隙磁密波形具有良好的正弦性,从其影响因素出发,对电机极弧系数、偏心距、气隙长度及磁极厚度进行了优化。建立了电机有限元仿真模型,对得到的气隙径向磁密波形进行谐波分析求取其正弦畸变率。利用正交试验得到算法所需样本空间,通过支持向量机算法求取目标函数,最后通过微粒群算法对其进行寻优,得到了一组优化后参数。仿真结果表明,优化后的电机空载气隙磁密波形得到了明显改善,验证了优化算法的可行性及准确性。

英文摘要:

To make the no-load air-gap flux density waveform of permanent magnet synchronous motor be sinusoidal, starting from influencing factors, the pole-arc coefficient, eccentricity, length of air gap and thickness of pole were optimized. The finite element simulation model of the motor was built, the harmonic of air-gap flux density waveform was analyzed to get its sinusoidal distortion rate. The sample space needed was acquired by the orthogonal tests for the algorithm, then the object function was built based on the support vector machine algorithm. At last, the parameters were optimized by particle swarm optimization algorithm and a set of optimized parameters were got. The simulating results show that the optimized no-load air-gap flux density waveform is significantly improved. The feasibility and accuracy of the optimization algorithm were verified.

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