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首页> 外文期刊>IEEE Transactions on Industrial Electronics >Hybrid Stepper Motor Electrical Model Extensions for Use in Intelligent Drives
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Hybrid Stepper Motor Electrical Model Extensions for Use in Intelligent Drives

机译：用于智能驱动器的混合式步进电机电气模型扩展

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摘要

The use of microcontrollers and digital signal processors for the standalone control of stepper motors is nowadays widespread. At the same time, more complex and intelligent algorithms are being used and developed for real-time control and observation. These algorithms often require a precise model of the motor, but the standard electrical model used for hybrid stepper motors is frequently not capable of giving an accurate enough representation of the real system. In this paper, new model extensions are proposed in order to have a more precise model of the motor, while maintaining a low computational cost. It is shown that a significant improvement in the model fit is achieved with these extensions, and their computational performance is compared to study the cost of model improvement versus computation cost. The applicability of the proposed model extensions is demonstrated via their use in an extended Kalman filter running in real time for closed-loop current control and mechanical state estimation.
机译：如今，广泛使用微控制器和数字信号处理器来独立控制步进电机。同时，正在使用和开发更复杂和智能的算法来进行实时控制和观察。这些算法通常需要精确的电动机模型，但是用于混合式步进电动机的标准电气模型通常无法给出真实系统的足够准确的表示。在本文中，提出了新的模型扩展，以便在保持较低的计算成本的同时拥有更精确的电动机模型。结果表明，通过这些扩展可以大大提高模型的拟合度，并比较它们的计算性能，以研究模型改进的成本与计算成本之间的关系。通过在实时运行的扩展卡尔曼滤波器中用于闭环电流控制和机械状态估计，证明了所提出的模型扩展的适用性。

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