| 基于EKF的PMSM无机械传感器矢量控制 | |
| 郑泽东 ; 李永东 ; Maurice FADEL ; ZHENG Zedong ; LI Yongdong ; Maurice FADEL | |
| 2010-06-10 ; 2010-06-10 | |
| 关键词 | 永磁同步电机 扩展Kalman滤波器 无机械传感器矢量控制 负载转矩观测 permanent magnet synchronous motor extended Kalman filter mechanical sensor-less vector control load torque observation TM341 |
| 其他题名 | PMSM mechanical sensor-less vector control based on extended Kalman filter |
| 中文摘要 | 为了准确估计永磁同步电机(PMSM)的转子位置和转速,并实现无机械传感器矢量控制,提出了一种基于扩展Kalman滤波器(EKF)的转子位置和转速观测器,适合于求解永磁同步电机的非线性方程。观测器状态方程采用转子磁链定向的同步旋转坐标系下的电压方程,电感等参数为常数,可以应用于凸极机和隐极机。对扩展Kalman滤波器进行了算法简化,使它可以实用化。把负载转矩作为状态变量,观测器可以同时观测负载转矩,并把观测转矩用作前馈补偿,提高了系统的动态性能。通过实验验证了系统的性能。; The rotor position and speed of a permanent magnet synchronous motor(PMSM) are estimated for mechanical sensor-less vector control by an extended Kalman filter(EKF) algorithm suitable for solving the nonlinear PMSM equations.The equations use rotating coordinates synchronous with oriented by the rotor flux where the parameters such as inductances are constants,so the observer can be applied to both salient and non-salient motors.The EKF computation is simplified for practical applications.With the load torque as a state variable,the observer can also observe the load torque which can be used for feed-forward compensation to improve the dynamic performance.The system performance is verified by experimental results. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/62802]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 郑泽东,李永东,Maurice FADEL,等. 基于EKF的PMSM无机械传感器矢量控制[J],2010, 2010. |
| APA | 郑泽东,李永东,Maurice FADEL,ZHENG Zedong,LI Yongdong,&Maurice FADEL.(2010).基于EKF的PMSM无机械传感器矢量控制.. |
| MLA | 郑泽东,et al."基于EKF的PMSM无机械传感器矢量控制".(2010). |
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