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Stator Flux Optimization on Direct Torque Control with Fuzzy Logic

机译:基于模糊逻辑的直接转矩控制中的定子磁链优化

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The Direct Torque Control (DTC) is well known as an effective control technique for high performance drives in a wide variety of industrial applications and conventional DTC technique uses two constant reference value: torque and stator flux. In this paper, fuzzy logic based stator flux optimization technique for DTC drives that has been proposed. The proposed fuzzy logic based stator flux optimizer self-regulates the stator flux reference using induction motor load situation without need of any motor parameters. Simulation studies have been carried out with Matlab/Simulink.to compare the proposed system behaviors at vary load conditions. Simulation results show that the performance of the proposed DTC technique has been improved and especially at low-load conditions torque ripple are greatly reduced with respect to the conventional DTC.
机译:直接转矩控制(DTC)是广泛应用于工业应用中高性能驱动器的有效控制技术,而传统DTC技术使用两个恒定的参考值:转矩和定子磁通。本文提出了一种基于模糊逻辑的DTC驱动器定子磁链优化技术。所提出的基于模糊逻辑的定子磁通优化器使用感应电动机负载情况自动调节定子磁通基准,而无需任何电动机参数。用Matlab / Simulink进行了仿真研究,以比较所提出的系统在各种负载条件下的性能。仿真结果表明,所提出的DTC技术的性能已得到改善,尤其是在低负载条件下,相对于传统DTC而言,转矩脉动大大降低了。

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