井冈山大学学报（自然科学版）Issue(5)：74-78,5.DOI:10.3969/j.issn.1674-8085.2015.05.014
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
摘要
Abstract
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.关键词
永磁同步电机/矢量控制/滑模观测器/模糊神经Key words
permanent magnet synchronous motor/sensorless control/sliding mode observer/fuzzy-neural network分类
信息技术与安全科学引用本文复制引用
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].井冈山大学学报（自然科学版）,2015,(5):74-78,5.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) （青年基金）
