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Comparative analysis of PI fuzzy logic controller based induction motor drive

机译:基于PI和模糊控制器的感应电动机驱动器的比较分析。

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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中。最初,它主要用于连续速度应用,原因是正统技术对其速度的控制会导致成本更高且充满损失。由于电刷和换向器的存在,导致了初级直流电动机的局限性,因此需要定期维护并使其不适用于紧张的环境。 SCR,MOSFET,IGBT,晶体管和GTO的便利性使可适应速度的IM驱动器得以改进。在现代控制理论中,有各种数学模型可以证明基于新采用技术的感应电动机。矢量控制的IM在自控制扭矩控制和磁通方面可与DC电机媲美,从而使其性能更加出色。为了调节IM的速度并获得更好的扭矩响应,提出了一种新的基于模糊逻辑的控制器(FLC)。使用了用于IM驱动器的基于模糊的逻辑控制器,该控制器将提供最佳性能。由于FLC具有广泛的适应性,因此在电力电子领域倍受关注。将感应电动机的实际速度与参考速度进行比较。错误通过(FLC)给出,并且它们的输出控制焦比。在本项目中,将讨论PI控制器和模糊控制器的理论及其仿真结果。

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