Intelligent speed control and design of direct torque controller of doubly fed induction motor

S. Lekhchine, T. Bahi
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Abstract

This paper presents the performance analysis of doubly fed induction motor speed control where the direct torque control strategy is used to obtain high performance torque control. For this, the classical proportional integral and fuzzy logic controllers are applied. Both types are considered in this work in order to analyse their performances as well as their robustness with respect to external disturbances (load torque variation) and internal (stator resistance variation). A complete simulation model for the proposed drive is developed using MATLAB/Simulink. The effectiveness of the proposed drive is verified at different dynamic operating conditions by simulation results. Indeed, the simulation results showed that the proportional integral controller is sensitivity to motor parameter variations because their coefficients are calculated according motor's parameters but the artificial fuzzy logic controller ensures the best performances in stator resistance and load variations and better dynamic characteristics.
双馈感应电机智能调速及直接转矩控制器设计
本文对双馈异步电动机速度控制进行了性能分析,采用直接转矩控制策略获得了高性能的转矩控制。为此,采用了经典的比例积分和模糊逻辑控制器。为了分析它们的性能以及它们对外部干扰(负载转矩变化)和内部干扰(定子电阻变化)的鲁棒性,本工作中考虑了这两种类型。利用MATLAB/Simulink建立了该驱动器的完整仿真模型。仿真结果验证了该驱动器在不同动态工况下的有效性。仿真结果表明,比例积分控制器的系数是根据电机参数计算的,对电机参数变化敏感,而人工模糊控制器在定子电阻和负载变化方面具有较好的控制性能,具有较好的动态特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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