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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >FPGA Realization of Sensorless PMSM Speed Controller Based on Extended Kalman Filter
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FPGA Realization of Sensorless PMSM Speed Controller Based on Extended Kalman Filter

机译:基于扩展卡尔曼滤波器的无传感器PMSM速度控制器的FPGA实现

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Based on extended Kalman filter (EKF), the design and FPGA implementation of a sensorless control intellectual property (IP) for permanent magnet synchronous motor (PMSM) drive are presented in this paper. Firstly, the mathematical model for PMSM is derived and the vector control is built up. Secondly, the rotor flux angle (FA) and rotor speed which are estimated by using EKF are described. These estimated values are feedbacked to the current loop for vector control and to the speed loop for speed control. Thirdly, the very-high-speed IC hardware description language (VHDL) is adopted to describe the behavior of the sensorless speed control IP which includes the circuits of space vector pulse width modulation (SVPWM), coordinate transformation, EKF, and PI controller. Finally, to evaluate the effectiveness and correctness of the proposed of system, a cosimulation work performed by Simulink and ModelSim is firstly conducted. Then, an experimental system by FPGA chip and motor driving board is set up to further validate the performance of the proposed EKF-based sensorless speed control IP.
机译:本文基于扩展卡尔曼滤波器(EKF),提出了永磁同步电动机(PMSM)驱动器的无传感器控制知识产权(IP)的设计和FPGA实现。首先,推导了永磁同步电机的数学模型,建立了矢量控制。其次,描述了通过使用EKF估计的转子磁通角(FA)和转子速度。这些估计值被反馈到矢量控制的电流回路和速度控制的速度回路。第三,采用超高速IC硬件描述语言(VHDL)来描述无传感器速度控制IP的行为,该速度包括空间矢量脉冲宽度调制(SVPWM),坐标变换,EKF和PI控制器的电路。最后,为评估所提系统的有效性和正确性,首先进行了Simulink和ModelSim的协同仿真工作。然后,通过FPGA芯片和电机驱动板建立了一个实验系统,以进一步验证所提出的基于EKF的无传感器速度控制IP的性能。

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