基于模糊逻辑的全阶卢恩伯格观测器智能适应机制应用于双馈感应电机的无速度传感器通量定向直接控制

Q3 Mathematics
D. Cherifi, Y. Miloud
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引用次数: 0

摘要

本研究的重点是利用人工智能技术,在没有机械传感器的情况下,对双馈感应电机进行磁流定向控制。为此,我们使用多电平逆变器对逆变器的类型和控制进行了研究,然后基于高增益卢恩伯格观测器对转子速度进行了观测,并使用模糊逻辑对速度适应机制进行了改进。在这项工作的最后,对提出的改进方法进行了模拟测试,以验证该系统在面对不同类型的训练时的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Adaptation Mechanism of Full-Order Luenberger Observer based on Fuzzy Logic Applied to Direct Control by Flux Orientation without Speed Sensor for Doubly Fed Induction Motor
The present work focused on the control by flow orientation without mechanical sensors on the doubly fed induction motor by the use of artificial intelligence techniques. Our main contribution lies in the development of control methodologies to improve control by flux orientation, for this, we acted on the type and control of inverters by the use of multilevel inverters and then on the observation technique of rotor speed based on the high gain Luenberger observer and improvements to the speed adaptation mechanism using fuzzy logic. Simulation tests of the proposed improvement approach were carried out at the end of this work to verify the behavior of this system in the face of different types of training.
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来源期刊
WSEAS Transactions on Systems and Control
WSEAS Transactions on Systems and Control Mathematics-Control and Optimization
CiteScore
1.80
自引率
0.00%
发文量
49
期刊介绍: WSEAS Transactions on Systems and Control publishes original research papers relating to systems theory and automatic control. We aim to bring important work to a wide international audience and therefore only publish papers of exceptional scientific value that advance our understanding of these particular areas. The research presented must transcend the limits of case studies, while both experimental and theoretical studies are accepted. It is a multi-disciplinary journal and therefore its content mirrors the diverse interests and approaches of scholars involved with systems theory, dynamical systems, linear and non-linear control, intelligent control, robotics and related areas. We also welcome scholarly contributions from officials with government agencies, international agencies, and non-governmental organizations.
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