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Comparative analysis of PI fuzzy logic controller based induction motor drive

机译:基于PI和模糊逻辑控制器的感应电机驱动的比较分析

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Induction motors are widely applied in many industrial applications. In the beginning it was primarily used in continuous speed applications for the reason that orthodox techniques for their, control of speed recognize as much costlier and full of losses. The limitation of primary DC motors is presented because of brushes and commutator, hence calling for regular care and making them inappropriate for tense environments. The convenience of SCRs, MOSFETs, IGBTs, transistors and GTOs has allowed the improvement of adaptable speed IM drives. In modern control theory, there are various mathematical models that can demonstrate induction motor based on newly employed techniques. The vector controlled IM comparable to DC motors in the self-governing torque control and fluxes to grander them in their vibrant performance. To regulate the speed of IM and to get better torque response, a new fuzzy logic based controller (FLC) is presented. A fuzzy based logic controller for IM drives is employ which would give optimum performance. FLC has received greater prominence in the power electronics area because of its vast adaptability. The actual velocity of an induction motor is compared with a reference velocity. The mistake is given through (FLC), and their outputs control the focal ratio. In this project theory of PI controller and fuzzy controller and its simulation results are talked over.
机译:感应电动机广泛应用于许多工业应用。在开始时,它主要用于连续速度应用,因为它们的正统技术,控制速度的控制识别为昂贵的速度和充满损失。由于刷子和换向器提出了主直流电动机的限制,因此呼吁定期小心并使它们不适合紧张的环境。 SCR的便利性,MOSFET,IGBT,晶体管和GTOS允许改进适应性速度IM驱动器。在现代控制理论中,有各种数学模型可以基于新采用的技术展示感应电动机。矢量控制IM与自控扭矩控制中的直流电动机相当,并在其充满活力的性能下对更兰德的通量。为了调节IM的速度并获得更好的扭矩响应,提出了一种新的模糊基于逻辑的控制器(FLC)。用于IM驱动器的基于模糊的逻辑控制器是可以获得最佳性能的采用。由于其巨大的适应性,FLC在电力电子区域的突出区域受到了更大的突出性。将感应电动机的实际速度与参考速度进行比较。错误是通过(FLC)给出的,它们的产出控制了焦平。在这个项目理论中,介绍了PI控制器和模糊控制器的仿真结果。

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