Implementation and Performance Analysis of Speed Control Strategy for Induction Motor using a Novel PLL and Discrete Fourier Transform

Sushil Karvekar, P. Joshi
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Abstract

The paper presents implementation of speed control strategies for Induction motor using field oriented control and adaptive notch filters. The adaptive notch filters used for developing filed oriented control include EPLL and discrete Fourier transform. Co-simulation technique is employed by using Matlab/Simulink and PSIM softwares for implementing the speed control algorithm. The simulation results of these adaptive notch filters demonstrate the computation of torque and flux components in rotating reference frame. The practicability and reliability of these algorithms are validated by changing the reference speed and torque conditions. The simulation results demonstrate the performance of field oriented control algorithm using the discrete Fourier and EPLL for tracking the given reference speed. The results show that the modified control algorithm is efficient in reference tracking with improved computational efficiency.
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基于新型锁相环和离散傅里叶变换的异步电机速度控制策略的实现及性能分析
本文介绍了利用磁场定向控制和自适应陷波滤波器实现感应电机速度控制策略。用于发展面向场控制的自适应陷波滤波器包括EPLL和离散傅里叶变换。采用Matlab/Simulink和PSIM软件联合仿真技术实现速度控制算法。自适应陷波滤波器的仿真结果验证了旋转参照系中转矩和磁通分量的计算。通过改变参考转速和转矩条件,验证了算法的实用性和可靠性。仿真结果表明,采用离散傅里叶和EPLL相结合的磁场定向控制算法对给定参考速度的跟踪效果良好。结果表明,改进后的控制算法具有较好的参考跟踪效果,计算效率有所提高。
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