基于MRAS的永磁同步电机无传感器控制研究
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1. 上海理工大学光电信息与计算机工程学院 上海 200093;2. 上海电动工具研究所(集团)有限公司 上海 200031

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TN43; TM341

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上海市国资委企业技术创新和能级提升项目(2016004)资助


Speed and rotor position estimation of sensorless PMSM based onMRAS
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1.School of OpticalElectrical and Computer Engineering,University of Shanghai for Science and Technology, Shanghai 200093, China; 2.SETRI(Group)Co.Ltd., Shanghai 200031, China

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    摘要:

    针对在永磁同步电机(PMSM)中安装传感器带的高成本、体积增大、可靠性降低、易受环境干扰等缺陷,提出了一种基于模型参考自适应理论(MRAS)的转速和转子位置的估算方法。以PMSM本体作为参考模型,电机的定子电流作为可调模型,以超稳定性与正性动态系统理论(Popov)为基础,设计了自适应律PI调节器参数,达到了可调模型稳定追踪参考模型的目的,实现了无速度传感器的转速和转子位置的准确估计。仿真结果表明,所提出的电机无位置传感器的控制方法能在转速突变、负载转矩扰动的情况下,快速、准确估算转速和转子位置,具有较强的动静态性能和鲁棒性。

    Abstract:

    In order to solve the problem of high cost,mounting volume increases,low reliability,being susceptible to interference and difficult to apply in a complex application environment caused by the traditional mechanical,there is find a new method based on the model reference adaptive (MRAS) control theory to estimate the rotor position and speed. Mathematical model of PMSM,speed closedloop control method and current sensorless control technology was studied. PMSM itself is considered as reference model and the stator current equations is considered as adjustable model containing variable speed. Adaptive law is designed based on Popov stability theory. As the result of the simulation proved that MRAS has a high estimation accuracy,good tracking performance,stable steadystate speed,good dynamic and static performance,and strong robustness towards speed variations and load disturbance of PMSM,this control is very simple and effective.

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谢明,高金锁,唐朝.基于MRAS的永磁同步电机无传感器控制研究[J].电子测量技术,2017,40(9):111-115

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  • 在线发布日期: 2017-11-22
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