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Loss minimization of two stage solar powered speed sensorless vector controlled induction motor drive for water pumping

机译:用于水泵的两级太阳能无速度矢量控制感应电动机驱动器的损耗最小化

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This paper deals with a two stage solar photovoltaic (SPV) fed speed sensorless vector controlled induction motor drive (IMD) for water pumping system which is superior to conventional controlled motor as it is cheaper and reliable. One common practice is to estimate the flux from the terminal voltages and currents. The performance of the drive depends on the accuracy of the flux estimator. Usually the efficiency of the induction motor drive (IMD) is high around the rated load and deteriorates at partial loading. However, the efficiency can be enhanced by operating the motor at optimum flux by controlling the flux component of current. In this paper, a minimization technique is proposed to minimize the total losses to operate the drive at maximum efficiency. A modified perturb and observe (P&O) algorithm is used to track maximum power from SPV array. The smooth starting of the motor is attained by vector control of an induction motor. The system performance is simulated in MATLAB/Simulink environment and the results are compared with the conventional vector controlled IMD.
机译:本文研究了一种用于抽水系统的两级太阳能光伏(SPV)馈电式无速度传感器矢量控制感应电动机驱动器(IMD),该驱动器价格便宜且可靠,优于传统的受控电动机。一种常见的做法是根据端子电压和电流来估算通量。驱动器的性能取决于磁通估算器的精度。通常,感应电动机驱动器(IMD)的效率在额定负载附近较高,在部分负载下会降低。但是,通过控制电流的磁通分量,可以通过以最佳磁通量运行电动机来提高效率。在本文中,提出了一种最小化技术来最小化使驱动器以最大效率工作的总损耗。修改后的扰动和观察(P&O)算法用于跟踪SPV阵列的最大功率。电机的平稳启动是通过感应电机的矢量控制实现的。在MATLAB / Simulink环境中模拟了系统性能,并将结果与​​传统的矢量控制IMD进行了比较。

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