基于ekf的无传感器感应电机驱动的FPGA性能分析

Santosh Yadav Maddu, Nitin Ramesh Bhasme
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引用次数: 1

摘要

感应电动机(IM)广泛应用于电力和工业驱动,因为它们易于建造,坚固耐用,和免费维护。为了获得更高的性能和鲁棒稳定性,矢量控制方法优于标量控制方法。在各种矢量控制方法中,磁场定向控制(FOC)在现代交流驱动器中最为流行。然而,在硬件上额外布线的成本和复杂性是基于传感器的IM的主要缺点。工业电力部门需要高性能实时控制器来监测和控制各种电力控制应用的电力驱动参数。本文对扩展卡尔曼滤波器(EKF)在无速度传感器IM驱动中的性能进行了研究。采用一种新颖的基于实时FPGA的Snetly控制器(Xilinx ARTIX-7 (XC7A200T) FPGA控制器,时钟频率为150 MHz)进行性能分析。本工作的主要目的是估计不同负载条件下无传感器IM驱动器的转子转速。利用MATLAB/Simulink软件和Snetly控制器对结果进行了验证和验证。
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Performance Analysis of EKF-based Sensorless Induction Motor Drive using FPGA Controller
Induction Motor (IM) is widely used in power and industrial drives due to their ease of construction, ruggedness, and free maintenance. To achieve higher performance and robust stability, vector control methods are preferred over scalar control methods. Among various vector control methods, field-oriented control (FOC) is the most popular in modern AC drives. However, the cost and the complexity involved in extra wiring at hardware are the major drawbacks for the sensor-based IM. The industrial power sector demands high-performance real-time controllers to monitor and control the electric drive parameters for various power control applications. In this work, the performance investigation of the Extended Kalman Filter (EKF) is presented for the speed sensorless IM drive. The performance analysis is carried out by using a novel real-time FPGA-based Snetly controller (Xilinx ARTIX-7 (XC7A200T) FPGA Controller with a 150 MHz clock frequency). The main objective of this work is to estimate the rotor speed of a sensorless IM drive under different loading conditions. The results are validated and verified using MATLAB/Simulink software and Snetly Controller.
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