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A Robust Neural Method to Estimate Torque in Three-Phase Induction Motor

机译:三相感应电动机转矩的鲁棒神经网络方法

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Induction motors are the key elements of electromechanical energy conversion in a variety of productive sectors. Torque is one of the major variables involved in the mechanical behavior of these motors. It can be used to diagnose fault and to monitor the energy efficiency of machine design by determining the load coupled to the shaft. However, the unbalanced voltage applied in stator winding provides electromagnetic torque oscillations in different operating modes. This paper presents a neural estimator applied to torque in induction motors which operate with unbalanced voltages in steady state. Simulation and experimental results are presented to demonstrate the behavior of the developed system and to validate the proposal...
机译:感应电动机是各种生产部门中机电能量转换的关键要素。扭矩是涉及这些电动机的机械性能的主要变量之一。通过确定耦合到轴的负载,它可用于诊断故障并监视机械设计的能源效率。但是,定子绕组中施加的不平衡电压会在不同的运行模式下产生电磁转矩振荡。本文介绍了一种神经估计器,该神经估计器适用于在稳态下以不平衡电压运行的感应电动机中的转矩。给出了仿真和实验结果,以演示已开发系统的行为并验证提案。

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