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Design and Digital Hardware Implementation of a Sensorless Controller for PMSM Drives using LF Signal Injection and EKF

机译:使用LF信号注入和EKF的PMSM驱动器的无传感器控制器的设计和数字硬件实现

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To obtain a wide-speed range control from a standstill to a high speed region, combining the approaches - LF (Low Frequency) signal injection and EKF (Extended Kalman Filter) in sensorless PMSM drive is proposed in this paper. The LF signal injection algorithm is applied to the startup and low-speed mode for the SPMSM; then it will transfer to the medium or high speed mode using the EKF algorithm. The LF signal injection algorithm doesn't need to consider the issue of "saturation saliency"; therefore it is very suitable for surface PMSM. Further, it also prevent from the sound-noise problem. In addition, the EKF is basically a full-order stochastic observer for the recursive optimum state estimation of a nonlinear dynamic system in real time by using signals that are in noisy environment. In this paper, the mathematical modelling of PMSM and the rotor position estimation algorithms of LF signal injection and EKF are firstly derived. Secondly, a Very high speed IC Hardware Description Language (VHDL) is presented to describe the behavior of the adopted estimation algorithm. Thirdly, to verify the correctness of the designed VHDL code of the estimation algorithm, based on Electronic Design Automation (EDA) simulator link, a co-simulation work is constructed by Simulink and ModelSim. Finally, some simulation results verify the correctness of the proposed hybrid approaches using LF signal injection and EKF for the sensorless PMSM speed control system.
机译:为了从静止到高速区域获得宽速范围控制,在本文中提出了与无传感器PMSM驱动器中的方法 - LF(低频)信号注入和EKF(扩展卡尔曼滤波器)组合。 LF信号注入算法应用于SPMSM的启动和低速模式;然后它将使用EKF算法转移到介质或高速模式。 LF信号注入算法不需要考虑“饱和显着性”的问题;因此,它非常适合表面PMSM。此外,它还可以防止声噪声问题。此外,EKF基本上是通过使用噪声环境中的信号实时用于非线性动态系统的递归最佳状态估计的全阶随机观察器。本文首先导出了LF信号注入和EKF的PMSM和转子位置估计算法的数学建模。其次,提出了一种非常高速IC硬件描述语言(VHDL)以描述所采用的估计算法的行为。第三,为了验证所设计的VHDL代码的估计算法的正确性,基于电子设计自动化(EDA)模拟器链路,通过Simulink和Modelsim构建了共同仿真工作。最后,一些仿真结果验证了使用LF信号注入和无传感器PMSM速度控制系统的EKF验证所提出的混合方法的正确性。

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