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首页> 外文会议>International Conference on Manufacturing Science and Technology >A Novel Speed-sensorless Suspension Decoupling Control Strategy for Bearingless Motor Based on Linear Extended State Observer
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A Novel Speed-sensorless Suspension Decoupling Control Strategy for Bearingless Motor Based on Linear Extended State Observer

机译：基于线性延长状态观测的无轴承电动机的新型无传感器悬架解耦控制策略

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摘要

In this paper, a novel speed-sensorless suspension decoupling control strategy for bearingless motor was proposed based on linear Extended State Observer (ESO). In the proposed control strategy, a second-order and a third-order linear-ESO algorithm were added respectively into torque d-q axis current-loop and suspension system x-y direction displacement-loop. A product of electrical angular speed and torque system d-q axis current and a product of torque q axis flux and suspension system d-q axis current were defined as disturbances in order to use the linear-ESO algorithm to estimate the defined disturbances. By obtaining speed information and compensation for disturbance force, the motor can work on speed-sensorless condition and traditional decoupling algorithm can be simplified. The simulation results show that the proposed control strategy can realize accurate speed estimation and guarantee stable suspension under the rated speed.
机译：本文基于线性延伸状态观察器（ESO），提出了一种用于无轴承电动机的新型无传感器悬架去耦控制策略。在所提出的控制策略中，分别在扭矩D-Q轴线电流回路和悬架系统X-Y方向位移环中添加二阶和三阶线性-ESO算法。电角速度和扭矩系统D-Q轴电流的乘积和扭矩Q轴通量和悬架系统D-Q轴电流的乘积被定义为干扰，以便使用Linear-ESO算法来估算定义的干扰。通过获得速度信息和对扰动力的补偿，电机可以在无传感器状态下工作，并且可以简化传统的去耦算法。仿真结果表明，所提出的控制策略可以实现准确的速度估计，并在额定速度下保证稳定的悬架。

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