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首页> 外文会议>2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques >Comparative analysis of the behavior of EKF algorithm integrated classical PI controller and cascade PI-fuzzy controller
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Comparative analysis of the behavior of EKF algorithm integrated classical PI controller and cascade PI-fuzzy controller

机译：集成经典PI控制器和级联PI-模糊控制器的EKF算法行为的比较分析

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摘要

The speed sensorless modes of operation are becoming a benchmarking accepted solutions in the sphere of electric drives. This paper furnishes a comparative analysis of the sensorless speed control of an Induction Motor (IM) utilizing the Extended Kalman Filter (EKF) with the Classical Proportional-Integral (PI) Controller and with the Cascade PI-Fuzzy based Controller. A technique of closed loop estimation of the speed is used for the control approach of an IM. The EKF described in this paper featuring to its less computational effort and low complexity proposes a feasible methodology for controlling the speed of an IM drive unescorting the use of speed sensors. In addition to this, the behaviour of EKF with the PI controller and with the Cascade PI-Fuzzy controller are also analysed. Simulation results validate the effectiveness of the proposed technique.
机译：无速度传感器的操作模式正在成为电驱动领域的基准测试解决方案。本文对使用扩展卡尔曼滤波器（EKF），经典比例积分（PI）控制器和基于Cascade PI-Fuzzy控制器的感应电动机（IM）的无传感器速度控制进行了比较分析。速度的闭环估计技术被用于IM的控制方法。本文所述的EKF以其较少的计算工作量和低复杂度为特征，提出了一种可行的方法来控制IM驱动器的速度，而不会使用速度传感器。除此之外，还分析了PI控制器和Cascade PI-Fuzzy控制器对EKF的行为。仿真结果验证了所提技术的有效性。

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