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FPGA-based sensorless control for PMSM drives using the stator/rotor frame extended Kalman filter

机译:使用定子/转子框架扩展卡尔曼滤波器的PMSM驱动器的基于FPGA的无传感器控制

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摘要

This paper presents an FPGA (field programmable gate arrays) based System-on-Chip sensorless controller for Surface Mounted Permanent Magnet Synchronous Machines (SMPMSM). Position and speed are estimated by the extended Kalman filter (EKF) based on the stator frame model of PMSM. Using parallel signal processing techniques and FPGA algorithm design optimization methods such as pipeline and resource sharing techniques, the whole control system is designed and implemented in a single low cost FPGA chip. Simulation and experimental results show that different frame models have great influence on the stability of sensorless control: a) the FPGA implemented rotating frame EKF observer cannot work properly; b) the FPGA implemented EKF sensorless controller based on stator frame model of PMSM can work well with high performance.
机译:本文提出了一种用于表面安装永磁同步电机(SMPMSM)的基于FPGA(现场可编程门阵列)的片上系统无传感器控制器。位置和速度由扩展卡尔曼滤波器(EKF)根据PMSM的定子框架模型估算。使用并行信号处理技术和FPGA算法设计优化方法(例如流水线和资源共享技术),整个控制系统在单个低成本FPGA芯片中进行设计和实现。仿真和实验结果表明,不同的框架模型对无传感器控制的稳定性有很大影响:a)FPGA实现的旋转框架EKF观测器无法正常工作; b)基于PMSM定子框架模型的FPGA实现的EKF无传感器控制器可以很好地工作并具有高性能。

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