Power Quality Evaluation and Optimization of Sensor-less Field Oriented Controller on 32-bit ARM Cortex Microcontroller

Xin Xue, Y. Teh
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Abstract

Electronic speed controller (ESC) is an important subsystem in drones, which are used to control and regulate the speed of its electric motor. For the high-end drones which require longer flight times, higher dynamic behavior with smooth and stable performance, Field Oriented Controllers (FOC) which power three-phase sinusoidal back-EMF motors are typically used to provide the required high efficiency, small torque ripple and dynamic performance. This paper proposes an analysis method based on discrete Fourier transform (DFT) over the measured motor current, in order to optimize the system parameters such as modulation period, CPU clock frequency and power supply voltage. As proof of concept, a FOC-based ESC implemented in a generic 32-bit microcontroller is studied. Findings show that the power quality and motor dynamic performance of a FOC ESC depends strongly on modulation period and relatively insensitive with respect to CPU voltage and frequency scaling.
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基于32位ARM Cortex微处理器的无传感器场定向控制器的电能质量评估与优化
电子速度控制器(ESC)是无人机的一个重要子系统,用于控制和调节无人机电机的速度。对于需要更长的飞行时间、更高的动态性能和平稳稳定的性能的高端无人机,通常使用为三相正弦反电动势电动机供电的场定向控制器(FOC)来提供所需的高效率、小转矩脉动和动态性能。为了优化调制周期、CPU时钟频率和电源电压等系统参数,提出了一种基于离散傅立叶变换(DFT)对实测电机电流的分析方法。作为概念验证,研究了在通用32位微控制器上实现的基于focc的ESC。研究结果表明,FOC ESC的电能质量和电机动态性能在很大程度上取决于调制周期,而对CPU电压和频率缩放相对不敏感。
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