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Online Golden Section Method based Loss Minimization Scheme for Direct Torque Controlled Induction Motor Drive

机译:基于在线黄金分割法的直接转矩控制感应电动机驱动器损耗最小化方案

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Induction motors (IM) drives are extensively used in the industries. However, the efficiency of the induction motor (IM) is poor when operated at the lightly loaded condition. Hence, IM loss optimization is necessary and can be achieved by optimizing the operating flux. This particular paper presents a search control scheme based on the Golden Section method for direct torque control (DTC) of induction motor (IM) drive to minimize the drive's losses. The machine's stator flux level is directly regulated by the proposed scheme thereby reducing the losses and improving the efficiency. The proposed algorithm is comparatively fast and a beforehand knowledge of the minimum number of functional estimations like other methods such as Fibonacci search method is not required. Furthermore, it has faster convergence compared to other search-based method as it requires the least number of functional evaluations to reach the desired precision. The approach is not only easy to implement but also do not require any external hardware for practical implementation. In this context, all the studies are carried out in MATLAB/Simulink.
机译:感应电动机(IM)驱动器已广泛用于工业中。但是,在轻载条件下运行时,感应电动机(IM)的效率很低。因此,IM损耗优化是必要的,并且可以通过优化工作通量来实现。这篇特殊的论文提出了一种基于黄金分割法的搜索控制方案,用于感应电动机(IM)驱动器的直接转矩控制(DTC),以最大程度地减少驱动器的损耗。电机的定子磁通水平由提出的方案直接调节,从而减少了损耗并提高了效率。所提出的算法相对较快,不需要像其他方法(如斐波那契搜索方法)一样预先知道最小数量的功能估计。此外,与其他基于搜索的方法相比,它具有更快的收敛性,因为它需要最少数量的功能评估才能达到所需的精度。该方法不仅易于实施,而且不需要任何外部硬件即可进行实际实施。在这种情况下,所有研究都在MATLAB / Simulink中进行。

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