基于静止时域数据的感应电机参数估计

S. Moon, A. Keyhani
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引用次数: 139

摘要

提出了一种从静止时域测试数据中逐步识别感应电机参数的方法。当机器处于静止状态时,在定子两端施加阶跃电压扰动,并测量由此产生的定子电压和电流响应。传递函数模型参数的初始化是通过对记录的时响应数据进行拉普拉斯变换实现的,传递函数和等效电路模型参数的估计都采用了极大似然法。基于所识别的模型,进行了仿真研究,并与实测的静止时域响应、静止频率响应和自由加速度响应进行了比较,以验证所识别的模型。对额定功率为5马力、220v的三相绕线转子异步电机进行了静止状态测试,并对其参数进行了估计。
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Estimation of induction machine parameters from standstill time domain data
A step-by-step approach to identifying the parameters of an induction machine from standstill time-domain test data is presented. A step voltage disturbance is applied across the stator terminals while the machine is in standstill condition, and the resulting stator voltage and current responses are measured. The initialization of the transfer function model parameters is achieved by the Laplace transformation of the recorded time-response data, and the maximum likelihood method is used for both the transfer function and the equivalent circuit model parameter estimation. Based on the identified models, simulation studies are performed and compared to the measured standstill time-domain response, the standstill frequency response, and the free acceleration response to validate the identified models. A three-phase wound rotor induction machine rated at 5 hp and 220 V was tested at standstill, and its parameters were estimated.<>
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