Speed control of induction motor based on model reference adaptive control

H. Acikgoz, C. Yıldız, Gulsade Kale, O. Kececioglu, A. Gani, M. Sekkeli
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引用次数: 6

Abstract

In recent years, adaptive and intelligent control schemes have begun to take the place of conventional control methods. In this study, a model reference adaptive control (MRAC) scheme based on genetic algorithm (GA) and Fuzzy Logic (FL) has been used by the help of Vector Control type driving method based on Space Vector Pulse Width Modulation (SVPWM). In this control technique, the conventional PI controller and the proposed control strategy has been applied to induction motor in real conditions by using an appropriate digital signal processor and peripheral units. As digital processor, DSPIC 30F6010 which is produced by Microchip Co. has been used. Experimental studies have been implemented for both of the control techniques under the same conditions. The results obtained from conventional PI controller and the proposed control strategy have been analysed and compared.
基于模型参考自适应控制的感应电机速度控制
近年来,自适应和智能控制方案已经开始取代传统的控制方法。本文采用基于空间矢量脉宽调制(SVPWM)的矢量控制型驱动方法,采用基于遗传算法(GA)和模糊逻辑(FL)的模型参考自适应控制(MRAC)方案。在该控制技术中,通过适当的数字信号处理器和外围单元,将传统的PI控制器和所提出的控制策略应用于实际条件下的感应电动机。采用Microchip公司的DSPIC 30F6010作为数字处理器。在相同条件下对两种控制技术进行了实验研究。对传统PI控制器和所提控制策略的控制结果进行了分析和比较。
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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