基于观测器的电动汽车永磁同步电机无传感器场定向控制

Pratyay Maity
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引用次数: 1

摘要

本文描述了基于观测器的电动汽车永磁同步电机磁场定向控制的过程和实现。目前已经发展了许多估计电机位置的技术,但它们大多依赖于定子电阻、电感和其他电机参数。这些参数的变化会影响整个估计过程。其中滑模观测器(SMO)和luenberger观测器(LO)的估计效率较好,参数变化的影响较小。无传感器观测器使用定子电压和电流作为输入,并从电机模型估计电动势(emf)。从估计的电动势进一步估计转子位置和速度。本文利用滑模观测器(SMO)和luenberger观测器(LO)估计了表面贴装永磁同步电机的位置和速度,并对电机实际速度、转矩、位置和电流的变化进行了研究。在MATLAB/SIMULINK中实现了永磁同步电动机的闭环无传感器场定向控制以及SMO和LO观测器,并给出了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Observer-based Sensorless Field oriented control of PMSM motor for EV application
This document described the process and implementation of observer-based field-oriented control of PMSM motor for electrical vehicle application. Numbers of estimation technique has been developed to estimate the position of the motor but most of them depend on stator resistance, inductance, and other motor parameters. The variation of those parameters affects the total estimation process. Among all those estimation processes sliding mode observer (SMO) and luenberger observer (LO) shows the promising estimation efficiency and effect of the variation of the parameters also less. The sensorless observer uses stator voltages and currents as inputs and estimates the electromotive force (emf) from the motor model. Rotor position and speed are further estimated from the estimated emf. As part of this paper position and speed of surface-mounted permanent magnet synchronous machines are estimated by sliding mode observer (SMO) and luenberger observer (LO) for a wide variation of the speed range and the variation of the motor actual speed, torque, position, and variation of current are studied. A close loop sensorless field-oriented control of PMSM motor along with SMO and LO observer implemented in MATLAB/SIMULINK and experimental results also represented in this document.
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