Ciao Imtiaz
最好澄清一下,您提到的低速控制或高速范围控制是FOC的优势之一,但您必须考虑使用的速度传感器。您可以找到的主要无传感器算法基于BEMF估计,BEMF取决于速度,因此您可以想象在低速时任何无传感器算法都会失败。所以我同意你的观点,FOC应该能够以极低的速度到极高的速度运行电机,但为了达到这个目的,你必须使用物理速度传感器,如增量编码器(MC FOC lib支持) 。)你用套件找到的公牛运行样品马达没有这种传感器。所以我建议你专注于一个敏感的控制。
再见
梁咏琪
以上来自于谷歌翻译
以下为原文
Ciao Imtiaz
Is better to clarify that the low speed control or the high speed range control that you mention are one of the advantage of the FOC, but you have to consider the speed sensor used. The main sensorless algorithm that you can find are based on BEMF estimation and the BEMF depends on the speed, so you can imagine that at low speed any sensorless algorithm fails. So I agree with you that FOC shall be able to run the motor with maximum efficiency from very low speed to very high speed, but to achieve this you have to use a physical speed sensor like incremental encoder (this is supported by the MC FOC lib.) The bull running sample motor that you find with the kit didn't have such kind of sensor. So I suggest you to focus on a sensored control.
Ciao
Gigi
Ciao Imtiaz
最好澄清一下,您提到的低速控制或高速范围控制是FOC的优势之一,但您必须考虑使用的速度传感器。您可以找到的主要无传感器算法基于BEMF估计,BEMF取决于速度,因此您可以想象在低速时任何无传感器算法都会失败。所以我同意你的观点,FOC应该能够以极低的速度到极高的速度运行电机,但为了达到这个目的,你必须使用物理速度传感器,如增量编码器(MC FOC lib支持) 。)你用套件找到的公牛运行样品马达没有这种传感器。所以我建议你专注于一个敏感的控制。
再见
梁咏琪
以上来自于谷歌翻译
以下为原文
Ciao Imtiaz
Is better to clarify that the low speed control or the high speed range control that you mention are one of the advantage of the FOC, but you have to consider the speed sensor used. The main sensorless algorithm that you can find are based on BEMF estimation and the BEMF depends on the speed, so you can imagine that at low speed any sensorless algorithm fails. So I agree with you that FOC shall be able to run the motor with maximum efficiency from very low speed to very high speed, but to achieve this you have to use a physical speed sensor like incremental encoder (this is supported by the MC FOC lib.) The bull running sample motor that you find with the kit didn't have such kind of sensor. So I suggest you to focus on a sensored control.
Ciao
Gigi
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