Sensorless Control for Conveyor Collision Servo by PMSM

Enci Wang, Longmiao Chen, Le Sun, Hui Gan
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Abstract

With the increasing application of permanent magnet synchronous machines (PMSM), the instability of the sensor becomes an important factor that threatens the reliability of the servo system based on it. The research of the sensorless control has reached such a pitch, and the sharp change of load is one of the difficulties. This paper proposes a scheme based on the conservation of momentum to solve the problem. The rotor position is estimated by a convex optimization method during the whole process. With the help of the mechanical equation model, supplemented by the extended Kalman filter (EKF) for data fusion, the speed estimate is obtained. And the momentum conservation theorem is introduced to correct the estimation when the load changes dramatically. Finally, the technology is simulated and verified by taking conveyor as an example.
永磁同步电机输送机碰撞伺服无传感器控制
随着永磁同步电机(PMSM)应用的日益广泛,传感器的不稳定性已成为威胁其伺服系统可靠性的重要因素。无传感器控制的研究已经达到了这样的高度,而负载的急剧变化是其中的难点之一。本文提出了一种基于动量守恒的解决方案。在整个过程中,采用凸优化方法对转子位置进行估计。借助力学方程模型,辅以扩展卡尔曼滤波(EKF)进行数据融合,得到速度估计。并引入动量守恒定理对载荷剧烈变化时的估计进行修正。最后,以输送机为例对该技术进行了仿真验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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