| 基于ESMF算法的永磁同步电机无位置传感器控制 |
投稿时间：2018-12-27 修订日期：2019-01-15  点此下载全文 |
| 引用本文： |
| 摘要点击次数: 122 |
| 全文下载次数: 0 |
|
|
| 中文摘要:针对噪声未知分布但有界(UBB)的非线性噪声系统[1],研究了一种优化定界椭球扩展集员滤波算法(ESMF)。结合该算法建立了基于ESMF的无传感器PMSM矢量控制系统,实时估算电机的转速和位置。对比了测量转速与估计转速,以及测量位置与估计位置,仿真实验结果表明,基于ESMF的无传感器PMSM矢量控制系统具有快速的转速响应特性和良好的稳定性。 |
| 中文关键词:非线性噪声系统 扩展定界椭球 永磁同步电机 无位置传感器控制 |
| |
| Position sensorless control for permanent magnet synchronous motor based on extension set membership filtering algorithm |
|
|
| Abstract:An optimized bounded ellipsoid extension collector filtering algorithm (ESMF) is studied for nonlinear noise systems with unknown noise distribution but bounded (UBB). Combined with this algorithm, a sensorless PMSM vector control system based on ESMF is established to estimate the speed and position of the motor in real time. Comparing the measured rotational speed with the estimated rotational speed, as well as the measuring position and the estimated position, the simulation results show that the sensorless PMSM vector control system based on ESMF has fast speed response characteristics and good stability. |
| keywords:nonlinear noise system extended bounding ellipsoid permanent magnet synchronous motor. |
| 查看全文 查看/发表评论 下载pdf阅读器 |
