The Proposal of discriminating stable control bandwidth using ANN in sensorless speed control system for PMSM
The Proposal of discriminating stable control bandwidth using ANN in sensorless speed control system for PMSM
复制标题
DOI：
10.23919/epe20ecceeurope43536.2020.9215821
复制
发表时间：
2020-09
期刊：
影响因子：
--
通讯作者：
A. Tanaka;Sari Maekawa
中科院分区：
文献类型：
--
作者：
A. Tanaka;Sari Maekawa
在永磁同步电机（PMSM）的无传感器控制中，通过分析电流控制、速度控制和无传感器控制三种控制带宽对稳定性影响的闭环传递函数的极点位置来确定稳定性的方法。然而，由于各种影响，存在理论分析与实际机器中可以稳定驱动的控制带宽范围不匹配的问题。为了更精确地确定稳定控制带的条件，本文提出了一种使用人工神经网络的方法。
In the sensorless control of a permanent magnet synchronous motor (PMSM), there is a method of determining stability by analyzing the pole placement of the closed-loop transfer function regarding the influence of the three control bandwidths of current control, speed control, and sensorless control on stability. However, due to various effects, there is a problem that the theoretical analysis and the range of the control bandwidth that can be stably driven in the actual machine do not match. In this paper, we propose a method using ANN (Artificial Neural Network) in order to determine the condition of the stable control band more accurately.