A Comparison of Phase Estimation Between Hall Sensors and Sliding Mode Observer

机译：霍尔传感器与滑动模式观察者相位估计的比较

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This paper presents a comparison about phase estimation between Hall sensors and sliding mode observer (SMO). The phase estimation result corresponds to the control effect of Permanent-magnet Synchronous Motor (PMSM). Low-resolution Hall-effect sensor is widely used in PMSM because of its good comprehensive performance. Sliding mode observer is a frequently-used algorithm of PMSM sensorless control. The rotor phase estimated by Hall sensors has a good steady-state performance but some ripple or chattering components occur when the rotor is accelerating, decelerating or fluctuating. As a contrast, the phase estimated by SMO has an attractive robustness to speed fluctuation as well as parameter variations but the estimation result has some vibrations under steady condition which is caused by the SMO algorithm itself. This paper contrasts the SMO with Hall sensors in view of control effects both under starting state, steady state and speed fluctuation state. The comparison is illustrated by the phase estimation results and the phase currents response. All the work is realized by Matlab/Simulink and the simulation results show the relative merits of SMO and Hall sensors.

机译：本文介绍了大厅传感器与滑动模式观察器（SMO）之间的相位估计比较。相位估计结果对应于永磁同步电动机（PMSM）的控制效果。由于其良好的综合性能，低分辨率霍尔效应传感器广泛用于PMSM。滑模观测器是PMSM无传感器控制的常用算法。由霍尔传感器估计的转子相位具有良好的稳态性能，但是当转子加速，减速或波动时发生一些纹波或抖动部件。作为对比度，SMO估计的阶段具有速度波动的稳健性以及参数变化，但估计结果在由SMO算法本身引起的稳定条件下具有一些振动。本文对霍尔传感器的SMO鉴于启动状态，稳态和速度波动状态下的控制效果。通过相位估计结果和相电流响应来说明比较。 Matlab / Simulink的所有作品都是通过Matlab / Simulink和仿真结果显示了Smo和Hall传感器的相对优点。

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《International Conference on Electronic and Mechanical Engineering and Information Technology》|2013年||共9页
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Ziyou Song; Jianqiu Li; Minggao Ouyang; Liangfei Xu;
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中图分类 TP39-53;
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Phase estimation; Hall sensors; Sliding mode observer; Starting state; Steady state; Speed fluctuation state;

机译：相位估计;霍尔传感器;滑模观察者;起始状态;稳态;速度波动状态;

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2. Sensor fault detection and estimation for switched power electronics systems based on sliding mode observer [J] . Li Jian, Pan Kunpeng, Su Qingyu Applied mathematics and computation . 2019,第期

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3. Sensor fault estimation using LPV sliding mode observers with erroneous scheduling parameters [J] . Chen Lejun, Edwards Christopher, Alwi Halim Automatica . 2019,第期

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4. A Comparison of Phase Estimation Between Hall Sensors and Sliding Mode Observer [C] . Ziyou Song, Jianqiu Li, Minggao Ouyang, International Conference on Electronic and Mechanical Engineering and Information Technology . 2013

机译：霍尔传感器与滑动模式观察者相位估计的比较
5. Sliding mode control of a reusable launch vehicle using sliding mode observers and gain adaptation. [D] . Hall, Charles E. 2005

机译：使用滑模观察器和增益自适应对可重复使用运载火箭进行滑模控制。
6. Sliding Mode Observer-Based Current Sensor Fault Reconstruction and Unknown Load Disturbance Estimation for PMSM Driven System [O] . Kaihui Zhao, Peng Li, Changfan Zhang, 2017

机译：PMSM驱动系统基于滑模观测器的电流传感器故障重构和未知负载扰动估计
7. A Comparison of Phase Estimation Between Hall Sensors and Sliding Mode Observer [O] . Ziyou Song, Jianqiu Li, Minggao Ouyang, 2012

机译：霍尔传感器与滑动模式观察者相位估计的比较

A Comparison of Phase Estimation Between Hall Sensors and Sliding Mode Observer

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