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Fast Fault Diagnosis Method for Hall Sensors in Brushless DC Motor Drives

机译:无刷直流电动机驱动器中霍尔传感器的快速故障诊断方法

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Brushless direct current motors with Hall sensors have been widely used in myriad industrial and commercial applications due to their simplicity and low cost. Meanwhile, the fault tolerant control (FTC) of Hall sensor drives has attracted renewed research attention. During FTC, the motor drives need to diagnose the Hall-sensor fault(s) and reconstruct the faulty signal(s). In this context, we propose an innovative fast fault diagnosis (FFD) method for analyzing different fault cases and diagnosing faulty signal(s) in the shortest possible time. Compared with established fault diagnosis methods, the FFD method does not require complicated vector-tracking observers, and it is capable of handling up to two simultaneous faults while greatly improving the diagnostic speed. Our simulation and experimental results verify the effectiveness of the proposed method and demonstrate its advantages over established methods particularly during transient operations. Due to the simplicity of diagnostic algorithm, the proposed FFD method can be readily implemented in conventional drive systems, either through extra coding within existing controllers or as an auxiliary circuit.
机译:具有霍尔传感器的无刷直流电动机由于其简单性和低成本而被广泛用于各种工业和商业应用中。同时,霍尔传感器驱动器的容错控制(FTC)引起了新的研究关注。在FTC期间,电机驱动器需要诊断霍尔传感器故障并重建故障信号。在这种情况下,我们提出了一种创新的快速故障诊断(FFD)方法,用于分析不同的故障情况并在最短的时间内诊断故障信号。与已建立的故障诊断方法相比,FFD方法不需要复杂的矢量跟踪观测器,并且能够处理多达两个同时的故障,同时大大提高了诊断速度。我们的仿真和实验结果验证了该方法的有效性,并证明了其相对于既定方法的优势,特别是在瞬态运行期间。由于诊断算法的简单性,通过现有控制器内的额外编码或作为辅助电路,可以轻松地在常规驱动系统中实施所提出的FFD方法。

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