PI与模糊速度控制器在感应电机间接定向磁场控制中的比较分析

Achala Ayodhya, Sachin Angadi, A. B. Raju
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摘要

本文提出了一种基于智能间接磁场定向控制的异步电动机暂态控制技术。传统上,IM驱动器的IFOC是使用线性pi控制器报告的。这些传统的PI-IFOC方法由于IM中的饱和现象和非线性而受到限制。为了克服这些缺点,本文提出了一种基于模糊逻辑的IM驱动IFOC。本课题采用了一种利用传统PI/模糊控制器的闭环速度控制技术。通过将定子产生的电流分成产生磁通(id)和产生转矩(iq)的分量(d-q分量),IM在IFOC中进行了卷积。IM的电流(iqs *)的转矩产生分量使用基于模糊的智能控制器进行调节。观察了传统PI控制器和基于模糊逻辑控制器的速度和转矩响应,并进行了性能评价比较。利用MATLAB/Simulink进行了仿真,并给出了基本结果,以证明所提出的Fuzzy-IFOC控制器比传统的PI-IFOC控制器具有更好的动态性能。
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Comparative analysis of PI and Fuzzy based speed controllers for Indirect Field-oriented Control of Induction Motor Drives
This paper presents a technique of intelligent indirect field-oriented control (IFOC) of the induction motor(IM) drives for the superior transient performance. Traditionally, IFOC of IM drives is reported using linear PI-Controllers. These Conventional PI-IFOC methods suffer limitations due to saturation phenomenon and non-linearities in the IM’s. To overcome these drawbacks, a Fuzzy logic based IFOC for IM drive is proposed in this paper. A closed-loop speed control technique making use of Conventional PI/Fuzzy based controllers is used for the investigation in this project. The IM has been convoluted in IFOC by splitting the current produced by the stator into flux (id) and torque (iq) producing components (d-q components). The torque producing component of the current (iqs∗) for an IM is regulated using a Fuzzy based intelligent controller. The speed and torque responses of Conventional PI and Fuzzy Logic based Controller are observed and are compared for performance assessment. Simulations are carried out employing MATLAB/Simulink and essential results are presented in order to demonstrate the superior dynamic performance of proposed Fuzzy-IFOC compared to conventional PI-IFOC controller.
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