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Study on maximum torque generation for sensorless controlled brushless DC motor with trapezoidal back EMF

机译:梯形反电动势的无传感器控制无刷直流电动机的最大转矩产生研究

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The sensorless controlled brushless DC motor with trapezoidal back EMF has been studied. Since the detected position information on the sensorless rotor has some uncertainty, the brushless DC motor cannot be driven with a maximum torque. To investigate the nature of torque in the sensorless controlled brushless DC motor, the torque characteristics as a function of commutation delay (or commutation timing error) have been analysed. It shows that the generation torque is influenced by the commutation delay and has a single maximum point. This maximum point is changed by the rotating speed and load conditions. Therefore, it needs to be adjusted at every operating point. However, if the operating condition is varied continuously, the sensorless controlled brushless DC motor cannot be driven with a maximum torque at every operating point. In the paper, an iterative learning algorithm and a fuzzy logic controller are employed to drive the brushless DC motor with maximum torque. To show the effectiveness of the proposed control scheme, the change of the torque-current ratio is shown in various operating points through computer simulations and real experiments. It is well demonstrated from these results that the proposed drive method provides desirable performance by the sensorless controlled brushless DC motor with trapezoidal back EMF.
机译:研究了具有梯形反电动势的无传感器控制无刷直流电动机。由于在无传感器转子上检测到的位置信息存在一定的不确定性,因此无刷直流电动机无法以最大扭矩驱动。为了研究无传感器控制的无刷直流电动机中转矩的性质,已经分析了作为换向延迟(或换向定时误差)的函数的转矩特性。结果表明,发电转矩受换向延迟的影响,并且具有单个最大值。该最高点由转速和负载条件改变。因此,需要在每个工作点进行调整。但是,如果运行条件连续变化,则无传感器控制的无刷直流电动机将无法在每个工作点处以最大扭矩进行驱动。本文采用迭代学习算法和模糊逻辑控制器,以最大转矩驱动无刷直流电动机。为了显示所提出的控制方案的有效性,通过计算机仿真和实际实验在各个工作点上显示了转矩-电流比的变化。从这些结果充分证明,所提出的驱动方法通过具有梯形反电动势的无传感器控制的无刷直流电动机提供了理想的性能。

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