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首页> 外文会议>IEEE International Conference on Power, Control, Signals and Instrumentation Engineering >A study on fuzzy controller and neuro-fuzzy controller for speed control of PMSM motor
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A study on fuzzy controller and neuro-fuzzy controller for speed control of PMSM motor

机译：永磁同步电动机速度控制的模糊控制器和神经模糊控制器的研究

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Permanent Magnet Synchronous Motors (PMSM) are a popular method for motion actuation due to their long life, efficient use of power and low maintenance requirements. PMSM have been used widely in the control system of high performance depending development of the power electronic and control technology“, however, the performances of the PMSM are very hyper sensitive to the parameter and load variations. To overcome these problems several control schemes such as Fuzzy Logic Control (FLC), Neural Network (NN) and Sliding Mode Control have been preferred for speed control of the PMSM. FLC, NN algorithms have been used currently as effective methods in the control of system affected by the destroyed entrance which is unknown quality and unstraight line. Because of the absence of the structure of both methods has not been removed ANFIS algorithm has been created by the connection of both methods superiority. In this study, the ANFIS controller is designed for PMSM speed control.
机译：永磁同步电动机（PMSM）由于其使用寿命长，有效利用功率和低维护要求而成为运动致动的常用方法。 PMSM已被广泛用于高性能控制系统中，这取决于电力电子技术和控制技术的发展，然而，PMSM的性能对参数和负载变化非常敏感。为了克服这些问题，已经将诸如模糊逻辑控制（FLC），神经网络（NN）和滑模控制的几种控制方案用于PMSM的速度控制。目前，FLC，NN算法已被用作有效控制方法，该系统受质量未知，直线不完整的损坏的入口影响。由于缺少两种方法的结构，因此尚未删除ANFIS算法，这两种方法的连接具有优越性。在本研究中，ANFIS控制器设计用于PMSM速度控制。

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