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Study of AI and PI controller using SVPWM technique for induction motor speed control

机译:使用SVPWM技术研究AI和PI控制器进行电动机速度控制

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Here, in this paper the performance of speed control of Induction Motor (IM) is done with the help of AI and PI controller and compared and by the overweighing advantage of AI controller the usual PI regulator is reinstated by AI controller nowadays. In recent days AC drives are widely utilized in industries due to their high efficiency, reliability, and high robustness, low expenditure and self-staring capacity. A new artificial intellectual scheme called Fuzzy logic Controller (FLC), is found elevated purposes in nearly all of the nonlinear schemes comparable to the electric speed drives. The fuzzy logic regulator intended to get moderately good performance compared to the conventional PI speed controller. A new artificial technique - FLC is projected here for enhanced speed control of IM with minimum loss. Here, we develop, analyze and use direct vector control method for realization of smart controller for speed control of an IM. The need to use fuzzy logic come up to is to meet high excellence output, least THD, fast reaction and high toughness. Lastly Total Harmonics Distortion (THD) produced by the inverter is compared amid conventional proportional Integral controls (PI). The results are authenticated with the assist of MATLAB Simulink.
机译:这里,在该纸的感应电动机(IM)的速度控制的性能与AI和PI控制器的帮助下完成,并进行比较,并通过AI控制器的overweighing优点通常的PI调节器是由AI控制器现在恢复。在最近几天的交流传动广泛,由于其高效率,可靠性和高耐用性,低开支和自我凝视能力用在工业。所谓模糊逻辑控制器(FLC)的新的人工智方案中,被发现升高的目的在几乎所有的非线性方案相媲美的电动速度驱动器。模糊逻辑调节器旨在与以往相比PI速度控制器以获得适度良好的性能。一种新的人工技术 - FLC这里预计IM的提高速度控制以最小的损失。在这里,我们开发,分析和使用直接矢量控制方法的智能控制器实现了一个IM的速度控制。需要使用模糊逻辑来达到是满足高卓越输出,至少THD,快速反应和高韧性。由逆变器产生的最后总谐波失真(THD)是常规之中比例积分控制(PI)进行比较。结果验证助攻MATLAB的的。

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