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An economical and simple strategy for overcoming the Hall sensor faults in three phase brushless DC motor drive
International Journal of Circuit Theory and Applications ( IF 2.3 ) Pub Date : 2024-03-20 , DOI: 10.1002/cta.3993
Mriduwani Verma 1 , Arghya Mitra 1 , Sunil Bhat 1 , Kanchan Garain 2 , Saumitra Pal 2 , A. K. Wankhede 2
Affiliation  

SummaryBrushless DC motors (BLDCs) are highly efficient and have the least maintenance requirement due to which they have replaced many conventional AC motors in various applications like electric vehicles, fans, water pumps, and home appliances. However, like all conventional motors, performance degradation of the BLDC motors can occur due to faults like Hall sensors failure, commutation switch failure, and stator‐winding failure. Among all these failures, this paper focuses on Hall sensor failures and the execution of fault tolerant control. Hall sensors produce an output after every 60° of rotation of the rotor, generating six sequences in one electrical cycle. In this study, each sequence is defined as a sector, which corresponds to the rotor position. Based only on this sector information in each electrical cycle, this paper proposes an uncomplicated detection strategy for Hall sensor fault, which is independent of motor loading and high‐performance processing unit. Along with the diagnosis, an improved faulty signal reconstruction is implemented, which bypasses the fault and continues a smooth performance of the motor. The proposed detection and reconstruction strategies have been simulated in MATLAB Simulink 2020, and the experimental analysis has been conducted to validate the proposed strategies.

中文翻译:

克服三相无刷直流电机驱动中霍尔传感器故障的经济而简单的策略

摘要无刷直流电机 (BLDC) 效率高且维护要求最低,因此它们已在电动汽车、风扇、水泵和家用电器等各种应用中取代了许多传统交流电机。然而,与所有传统电机一样,BLDC 电机的性能可能会因霍尔传感器故障、换向开关故障和定子绕组故障等故障而发生性能下降。在所有这些故障中,本文重点关注霍尔传感器故障和容错控制的执行。霍尔传感器在转子每旋转 60° 后产生一个输出,在一个电周期内生成六个序列。在本研究中,每个序列被定义为一个扇区,对应于转子位置。仅基于每个电周期中的扇区信息,本文提出了一种简单的霍尔传感器故障检测策略,该策略独立于电机负载和高性能处理单元。在进行诊断的同时,还实施了改进的故障信号重建,从而绕过故障并继续保持电机的平稳性能。所提出的检测和重建策略已在MATLAB Simulink 2020中进行了仿真,并进行了实验分析以验证所提出的策略。
更新日期:2024-03-20
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