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作 者:杜嘉晨 樊启高[1] 黄文涛 DU Jiachen;FAN Qigao;HUANG Wentao(School of Internet of Things Engineering,Jiangnan University,Wuxi 214122,China)
机构地区:[1]江南大学物联网工程学院,江苏无锡214122
出 处:《电机与控制学报》2023年第8期100-108,共9页Electric Machines and Control
基 金:江苏省自然科学基金(BK20210475);中央高校基本科研基金(JUSRP121020)。
摘 要:针对永磁同步电机驱动系统功率器件开路故障问题,提出了一种基于混合逻辑动态模型和剩余电流的开路故障诊断方法,以提高永磁同步电机驱动系统的安全性与可靠性。通过研究电机驱动系统离散开关信号和连续电流状态变量,建立永磁同步电机系统的混合逻辑动态模型对电机电流进行估计;然后,利用估计模型与实际电流的残差极性与残差间的差值极性作为诊断特征量,通过查找设计的故障状态表以实现故障器件定位。该方法利用控制策略中已使用的变量实现开路故障诊断,避免使用额外的传感器,并且可有效消除转速和负载变化对诊断结果准确性的影响。仿真与实验结果表明,该方法具有诊断时间短、准确度高、鲁棒性强等优点,且诊断时间均小于基本电流周期的60%。In order to realize the safe and reliable operation of permanent magnet synchronous motor drive system,an open circuit fault diagnosis method based on the residual current of the mixed logical dynamic model is proposed in this paper.By studying the discrete switching signals and continuous current state variables,a mixed logic dynamic model of the motor drive system was established to estimate motor currents.Then,the polarities of the errors between the estimated and the actual currents were extracted as the diagnostic features.The faulty switches can be located by searching for the designed fault status table.The variables used in the control strategy were used to realize fault detection avoiding additional sensors.Besides,the proposed approach can reduce the influence of loads.The simulated and experimental results show that the proposed method has the advantage of short diagnosis time,high accuracy and strong robustness.And the diagnosis time is less than the 60%of the fundamental current cycle.
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