| 肖根福,周燕辉,刘欢.基于模糊神经滑模观测器的永磁同步电机无传感器控制[J].井冈山大学自然版,2015,(5):74-78 |
| 基于模糊神经滑模观测器的永磁同步电机无传感器控制 |
| SENSORLESS CONTROL OF PMSM BASED ON FUZZY-NEURAL NETWORK SLIDING MODE OBSERVER |
| 投稿时间：2015-06-30 修订日期：2015-07-28 |
| DOI：10.3969/j.issn.1674-8085.2015.05.014 |
| 中文关键词: 永磁同步电机 矢量控制 滑模观测器 模糊神经 |
| 英文关键词: permanent magnet synchronous motor sensorless control sliding mode observer fuzzy-neural network |
| 基金项目:江西省科技支撑计划项目(20142BBE50057);江西省自然科学基金(青年基金)项目(20151BAB217012) |
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| 中文摘要: |
| 为了解决传统滑模观测器的抖振问题,提出了一种用于永磁同步电机的模糊神经滑模观测器。分析了滑模增益对抖振的影响,并采用模糊神经网络动态调整滑模增益以改善抖振,利用李雅普诺夫函数证明了模糊神经网络观测器的稳定性。利用锁相环方法提取转子位置与速度信息,减小由高频噪声引起的误差。仿真结果表明:改进后的滑模观测器能够对永磁同步电机转子位置进行精确辨识,有效地抑制了抖振,实现了高性能的永磁同步电机无传感器控制。 |
| 英文摘要: |
| In order to solve the chattering problem of conventional sliding mode observer for a permanent magnet synchronous motor (PMSM), a fuzzy-neural network sliding mode observer was proposed. The effect of sliding mode gain to chattering was analyzed. The fuzzy-neural network dynamically adjusts sliding mode gain to reduce the chattering. The stability of the fuzzy-neural network sliding mode observer was proved through Lyapunov function. The method that the phase-locked loop extracts the rotor position and speed information was utilized in order to reduce the error caused by the high-frequency noise. The validity of the proposed algorithm has been demonstrated with experiments. |
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