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Fuzzy-Logic Based Speed Control of Induction Motor Considering Core Loss into Account

机译:考虑铁心损耗的感应电动机基于模糊逻辑的速度控制

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摘要

Rotor flux and torque of an induction motor (IM) are decoupled to obtain performance of DC motor. The decoupling strategy has been developed in terms of stator current components where the core loss is neglected. Many different controllers including fuzzy logic controller (FLC) with neglecting core loss have been designed to control the speed of induction motor. The outcome of investigation about the effect of core loss on indirect field oriented control (IFOC) has been concluded that the actual flux and torque are not reached to the reference flux and torque if core loss is neglected. Thus, the purpose of this paper is to propose a fuzzy logic speed controller of induction motor where flux and torque decoupling strategy is decoupled in terms of magnetizing current instead of stator current to alleviate the effects of core loss. The performances of proposed fuzzy-logic-based controller have been verified by computer simulation. The simulation of speed control of IM using PI and FLC are performed. The simulation study for high-performance control of IM drive shows the superiority of the proposed fuzzy logic controller over the conventional PI controller.
机译:解耦感应电动机(IM)的转子磁通和转矩以获得直流电动机的性能。去耦策略是针对定子电流分量而开发的,在这种情况下,铁芯损耗可以忽略。设计了许多不同的控制器,包括具有忽略铁心损耗的模糊逻辑控制器(FLC),以控制感应电动机的速度。关于铁芯损耗对间接磁场定向控制(IFOC)的影响的研究结果表明,如果忽略铁芯损耗,则实际磁通和转矩不会达到参考磁通和转矩。因此,本文的目的是提出一种感应电动机的模糊逻辑速度控制器,其中磁通和转矩解耦策略根据励磁电流而非定子电流解耦,以减轻铁心损耗的影响。通过计算机仿真验证了所提出的基于模糊逻辑的控制器的性能。使用PI和FLC对IM的速度控制进行了仿真。 IM驱动器高性能控制的仿真研究表明,所提出的模糊逻辑控制器优于常规PI控制器。

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