[关键词]
[摘要]
为了提高无刷直流电机(BLDCM)运行的可靠性,提出一种基于最小二乘法的霍尔传感器故障诊断及容错控制方法。利用最小二乘法拟合曲线作为一阶泰勒算法的评价模型,对电机的转子位置进行精确估算,从而实现对有故障霍尔传感器的诊断。采用正常霍尔位置传感器跳变沿对霍尔传感器故障下丢失的跳变沿时间进行重构,重新获得最小二乘法拟合曲线。该方法能实现霍尔传感器故障下的容错控制,从而有效抑制机械安装偏差对霍尔传感器故障下位置估算错误的产生。试验结果表明,提出的故障诊断方法能快速准确地识别故障霍尔传感器,且提出的容错控制方法能够有效改善故障时的系统性能。
[Key word]
[Abstract]
In order to improve the operating reliability of the brushless DC motor (BLDCM), a Hall sensor fault diagnosis and fault-tolerant control method based on the least square method is proposed. Using the least square fitting curve as the evaluation model of the first-order Taylor algorithm, the rotor position of the motor is accurately estimated, so as to realize the diagnosis of the faulty Hall sensor. The jump time lost under the fault of the Hall sensor is reconstructed by adopting the jump time of the normal Hall position sensor, and the least square fitting curve is obtained again. This method can realize the fault-tolerant control under the fault of Hall sensor,and effectively restrain the mechanical installation deviation to estimate the position error of the Hall sensor failure. The experimental results show that the proposed fault diagnosis method can quickly and accurately identify the fault Hall sensor, and the fault-tolerant control method can effectively ameliorate the system performance when the fault occurs.
[中图分类号]
[基金项目]
江西省自然科学基金项目(20181BAB206035)