This paper proposes a novel fuzzified mechanical sensorless speed estimation technique for permanent magnet direct current (PMDC) brushed motor operated with pulse width modulation (PWM) based terminal voltage. For replacement of conventional mechanical speed sensors, few mechanical sensorless speed estimation techniques have been reported recently in the field of PMDC brushed motor. In this paper, a novel technique is applied over a recently reported semianalytical dynamic time-domain PMDC brushed motor model incorporating space-domain effects, namely slotting effect and commutation phenomenon to simulate the proposed estimation process. Ripple and back electromotive force based standalone estimation approaches are hybridized in order to eliminate uncertainties in all regions of estimation. In this paper, a discrete fuzzified hybrid speed estimation model has been proposed with adequate dynamic simulation responses. Further the proposed discrete speed estimation model has been applied experimentally over a PWM-driven 24-V, 12-teeth, 100-W PMDC brushed motor and various dynamic real-time responses have been compared with conventionally captured speed samples to validate the proposed model.

中文翻译：

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永磁直流有刷电机转速估计的混合计算机械无传感器模糊技术

本文提出了一种新的模糊化机械无传感器速度估计技术，用于基于脉冲宽度调制 (PWM) 的端电压操作的永磁直流 (PMDC) 有刷电机。为了替代传统的机械速度传感器，最近在 PMDC 有刷电机领域几乎没有报道过机械无传感器速度估计技术。在本文中，一种新技术应用于最近报道的半解析动态时域 PMDC 有刷电机模型，该模型结合了空间域效应，即槽效应和换向现象，以模拟所提出的估计过程。混合基于纹波和反电动势的独立估计方法，以消除所有估计区域的不确定性。在本文中，已经提出了具有足够动态仿真响应的离散模糊混合速度估计模型。此外，所提出的离散速度估计模型已在 PWM 驱动的 24-V、12 齿、100-W PMDC 有刷电机上进行了实验应用，并且将各种动态实时响应与常规捕获的速度样本进行了比较，以验证所提出的模型.