波动输入条件下基于MRAS的感应电机无传感器转速估计方案的性能分析

C. Nagamani, Nikhilesh Prasannakumar, R. Raju
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引用次数: 1

摘要

本文研究了一种三相鼠笼感应电机无传感器转速估计方案。基于模型参考自适应方案(MRAS)的无传感器速度估计器利用瞬时无功功率误差进行速度估计。基于Q-MRAS的方法计算简单,其闭环特性减小了稳态误差。通过MATLAB仿真研究了负载转矩变化、电源电压和频率波动以及不平衡和谐波存在下速度估计器的性能。基于Q-MRAS的方案在所有条件下都具有很强的鲁棒性,几乎没有稳态误差,瞬态误差小于3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the performance of an MRAS based sensorless speed estimation scheme for induction motors under fluctuating inputs
A sensorless speed estimation scheme for a three phase squirrel cage induction machine is investigated in this paper. The Model Reference Adaptive Scheme (MRAS) based sensorless speed estimator uses the error in instantaneous reactive power for speed estimation. The Q-MRAS based method is computational simple and its closed loop nature reduces steady state errors. The performance of the speed estimator under changes in load torque, fluctuations in supply voltage and frequency and under the presence of unbalance and harmonics are investigated using MATLAB simulations. The Q-MRAS based scheme is found to be quite robust under all conditions, with almost no steady state error and transient errors less than 3%.
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