【摘要】 为了研究电梯永磁同步电机的退磁状态评估，提出一种基于参数自调节滑模算法的永磁同步电机退磁故障检测方法，通过获取电机多级负载状态下的电压与电流数据，对电机的空载反电动势进行估算，并作为退磁评估依据。方法在使用传统滑模观测器(SMO)估算电机扩展反电动势的基础上，将不同负载下的永磁体的工作点变动及定子电阻、电感参数的变化纳入考虑，构建了电机空载反电动势估算误差方程。通过对滑模算法中的电阻、电感参数进行调节，来抵消上述因素的影响，进而实现对电机空载反电动势的获取，并根据电阻、电感参数对估算结果的不同影响特性，实现了电阻与电感参数的自调节。经过仿真分析与实验验证，该方法能够在无须测量编码器数据的前提下，对电机内部永磁体的性能进行量化分析，方法适用于局部退磁与均匀退磁两种故障类型，且准确度高，可用于电梯永磁同步电机外置退磁检测。更多还原

【Abstract】 In order to study the demagnetization state evaluation of permanent magnet synchronous motors(PMSMs) for elevators, a method for detecting demagnetization faults of PMSMs based on parameter self-adjusting sliding mode algorithm is proposed. The method is to estimate the no-load back electromotive force(BEMF) by obtaining the voltage and current data of motor under multiple load states and use this as the basis for the diagnosis of demagnetization. Based on the traditional sliding mode observer(SMO) to estimate the extended BEMF of the motor, this paper takes the variation of the working point of the permanent magnet and the changes of the stator resistance and inductance parameters under different loads into account, and constructs the error equation of the motor no-load BEMF estimation. In order to obtain the no-load BEMF of the motor, the resistance and inductance parameters in the sliding mode algorithm were adjusted to offset the impact of the above parameter changes on the estimation results. According to the different influence characteristics of resistance and inductance parameters on the estimation results, the self-regulation of resistance and inductance parameters was realized. Through simulation analysis and experimental verification, this method can quantitatively analyze the performance of the permanent magnet inside the motor without measuring the encoder data. The method is suitable for local demagnetization and uniform demagnetization, and has high accuracy. It can be used for external demagnetization detection of elevator PMSM.更多还原