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Sensorless speed measurement for brushed DC motors

机译：直流有刷电机的无传感器速度测量

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This study describes two new methods of sensing the speed of a pulse-width modulation-driven brushed DC motor based on measuring the inductive spikes generated when the motor is turned off. The research has studied the relationship between the rise time or duration of the inductive spike, and the motor current and speed. Computationally inexpensive algorithms have been developed that use either rise time or duration to estimate speed. The algorithms have been implemented on an inexpensive microprocessor and show a speed error of approximately 10% over most of the motor's range of operation. The spike rise time implementation requires an analog-to-digital converter (ADC) as found in many microprocessors, while the spike duration implementation requires only a single digital input thus reducing the cost of the controlling microprocessor. This work has shown that sensorless speed measurement can be based on the inductive spike and has also raised future research questions, such as to the best way to optimise the speed measurement in dynamic situations, and measurement errors to be expected in a mass production environment.
机译：这项研究描述了两种新方法，它们基于测量电动机关闭时产生的感应尖峰来检测脉宽调制驱动的有刷直流电动机的速度。研究已经研究了电感尖峰的上升时间或持续时间与电动机电流和速度之间的关系。已经开发出计算上不昂贵的算法，该算法使用上升时间或持续时间来估算速度。该算法已在廉价的微处理器上实现，并且在电动机的大多数工作范围内均显示出约10％的速度误差。尖峰上升时间的实现需要许多微处理器中使用的模数转换器（ADC），而尖峰持续时间的实现仅需要单个数字输入，从而降低了控制微处理器的成本。这项工作表明，无传感器速度测量可以基于感应尖峰，并且也引发了未来的研究问题，例如在动态情况下优化速度测量的最佳方法以及在批量生产环境中预期的测量误差。

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