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D-Q axis voltage ripple minimization of vector control drive using Type-2 NFS controller

机译：D-Q轴电压纹波使用Type-2 NFS控制器的矢量控制驱动器最小化

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The voltage ripple is reduced by using conventional proportional integral (PI) controllers require additional filter, and also occurs tuning problem with these controllers. Due to the operating point changes in conventional PI controllers get a nonlinearity output. To overcome above problem, this paper presents Type-2 Neuro fuzzy system (T2NFS) to reduce the voltage ripple in the induction motor by using indirect vector control method. The T2NFS controller performance as compared with conventional proportional integral (PI) controller, voltage ripple reduced in the induction motor without any additional filter and tuning problem is eliminated. In this, the current reference values and original values of current are fed to the T2NFS based controllers and the controller is trained based on the obtained values. The performance of induction motor with indirect vector control method by using T2NFS controllers has been simulated at different operation regions and compared results with PI controllers. The results are experimentally verified with d-space 1104.
机译：通过使用传统的比例积分（PI）控制器减少电压纹波需要额外的滤波器，并且也发生与这些控制器的调谐问题。由于传统PI控制器中的操作点变化，获得非线性输出。为了克服上述问题，本文介绍了2型神经模糊系统（T2NFS），通过使用间接矢量控制方法减少感应电机中的电压纹波。与传统比例积分（PI）控制器相比，T2NFS控制器性能相比，在没有任何额外的过滤器和调谐问题的情况下，在感应电动机中减小的电压纹波。在此，电流的电流值和原始值被馈送到基于T2NFS的控制器，并且基于所获得的值训练控制器。通过使用T2NFS控制器具有间接矢量控制方法的感应电动机的性能已经在不同的操作区域模拟，并将结果与​​PI控制器进行了比较。结果是用D-Space 1104进行实验验证的。

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