摘要
针对基于定子电压模型参考自适应法的永磁同步电机矢量控制系统性能受定子参数和运行工况影响较大等问题,分析了现有模糊自适应系统的结构复杂机理,提出了一种完全参数无依赖的两级式模糊自适应系统结构。通过基于定子电流模型的模型参考模糊自适应系统来估测旋转坐标系下的电流信号,并根据性能相关度匹配增益系数后分别输入不同级的模糊控制器以获得更优秀的控制性能。算法鲁棒性高,实验结果表明在全速域下较传统算法电机动稳态性能指标均有明显提升。
The performance of the permanent magnet synchronous motor vector control system based on the stator volt- age model reference adaptive method was affected by the influence of stator parameters and operating conditions. The com- plex mechanism of the existing fuzzy adaptive system was analyzed, and a complete parameter non-dependent two-level fuzzy adaptive system architecture. This method estimates the current signal in the rotating coordinate system by referring to the fuzzy adaptive system based on the stator current model, and then the gain coefficients was compared to according to the performance correlation to input different fuzzy controllers to obtain better control performance. The experimental results show that the dynamic stability of the motor is improved obviously in the full speed domain.
出处
《微特电机》
北大核心
2017年第9期64-67,共4页
Small & Special Electrical Machines
基金
河南省基础与前沿技术研究计划资助项目(132300410303)
河南省教育厅项目(17A413009)
国家重点研发计划子课题项目(2016YFC0600800)
关键词
无传感器
模型参考自适应
模糊算法
永磁同步电机
sensorless control
model reference adaptive system （MRAS）
fuzzy logic
permanent magnet synchro-nous motors
