A parameter estimation method for on-line failure detection in permanent magnet AC-brushless motors having current-dependent parameters

A. Del Pizzo, I. Spina, U. Schafer, L. T. Beti
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引用次数: 8

Abstract

With reference to anisotropic permanent magnet (PM) brushless motors, the papers deals with a procedure for on-line identification of electrical parameters, based on the “recursive least square method”, designed for the cases of strong parameters variation depending on the operating condition. The identification procedure is superimposed to a conventional control diagram of PM AC-brushless drives (either torque-control or speed-control) and is really very simple. The results of this analysis can be used as identifiers of failure conditions in the drive; otherwise, during motor characterization on a test-bench, the method can be a simple instrument to map motor parameters in different operating conditions. The proposed technique is tested by means of numerical investigation on a motor whose electrical parameters have been off-line evaluated by experimental measurements and mapped in different operating conditions.
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具有电流相关参数的永磁交流无刷电机在线故障检测的参数估计方法
本文以各向异性永磁无刷电机为研究对象,针对电机参数随工况变化较大的情况,提出了一种基于递推最小二乘法的电机电气参数在线辨识方法。识别程序叠加到PM交流无刷驱动器(转矩控制或速度控制)的常规控制图上,并且非常简单。该分析结果可作为驱动器故障条件的标识符;否则,在测试台架上对电机进行表征时,该方法可以成为绘制不同操作条件下电机参数的简单工具。该方法已在一台电机上进行了数值研究,该电机的电气参数已通过实验测量进行了离线评估,并绘制了不同工况下的电学参数图。
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Behavior of multiphase induction machines with unbalanced stator windings An analytical model of the induction machine for the development of diagnostic techniques Health monitoring of POL converter using digital PWM controller A parameter estimation method for on-line failure detection in permanent magnet AC-brushless motors having current-dependent parameters An EMD-based invariant feature extraction algorithm for rotor bar condition monitoring
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