Technical study of innovative strategies of direct torque control for doubly fed induction motor — A review

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2025-06-21 DOI:10.1016/j.compeleceng.2025.110498

Said Mahfoud , Najib El Ouanjli , Aziz Derouich

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引用次数: 0

Abstract

Direct Torque Control (DTC) is widely recognized for its simplicity in both modeling and implementation. However, it still suffers from the major drawback of torque ripples. To address this limitation, numerous innovative solutions have been proposed in the literature. This paper provides an in-depth review of recent methods aimed at enhancing the performance of DTC, with a particular focus on optimizing Doubly-Fed Induction Motors (DFIM) in terms of torque and speed control. This review begins with a detailed presentation of the DFIM model, followed by a mathematical analysis of basic DTC control. The main challenges associated with this approach are identified and explained. The core section of the review explores a range of traditional techniques (such as backstepping and space vector modulation) as well as innovative methods based on optimization algorithms (genetic algorithm, ant colony optimization, and rooted tree optimization) and artificial intelligence, including fuzzy logic and neural networks, all aimed at improving DTC control efficiency. The objective is to reduce torque ripples while optimizing speed dynamics. Each of these techniques is analyzed in terms of its advantages and disadvantages, providing a critical perspective on their potential to enhance the performance of DTC control systems. This work stands out for its in-depth comparative study of these techniques based on major criteria (torque ripples and complexity), classification study and proposing actionable recommendations. This analysis aims to identify the most effective control strategies in the literature. The techniques that demonstrated the highest efficiency in this study are FL-DTC and ANN-DTC, which reduced torque ripples from 2.445 Nm for standard DTC to 1.14 Nm for FL-DTC and 1.08 Nm for ANN-DTC. Additionally, ANN-DTC offers the added benefit of lower complexity, providing a simpler yet equally effective solution compared to FL-DTC.

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双馈异步电动机直接转矩控制创新策略的技术研究综述

直接转矩控制（DTC）因其简单的建模和实现而得到广泛认可。然而，它仍然遭受扭矩波动的主要缺点。为了解决这一限制，文献中提出了许多创新的解决方案。本文深入回顾了近年来旨在提高直接转矩控制性能的方法，特别关注双馈感应电动机（DFIM）在转矩和速度控制方面的优化。本文首先详细介绍了DFIM模型，然后对基本的DTC控制进行了数学分析。确定并解释了与此方法相关的主要挑战。该综述的核心部分探讨了一系列旨在提高DTC控制效率的传统技术（如后退和空间矢量调制）以及基于优化算法（遗传算法、蚁群优化和根树优化）和人工智能（包括模糊逻辑和神经网络）的创新方法。目标是在优化速度动态的同时减少转矩波动。本文分析了每一种技术的优点和缺点，并对它们提高直接转矩控制系统性能的潜力提供了一个关键的观点。这项工作基于主要标准（扭矩波动和复杂性）对这些技术进行了深入的比较研究，分类研究并提出了可操作的建议。本分析旨在找出文献中最有效的控制策略。本研究中显示效率最高的技术是FL-DTC和ANN-DTC，它们将转矩波动从标准DTC的2.445 Nm减小到FL-DTC的1.14 Nm和ANN-DTC的1.08 Nm。此外，与FL-DTC相比，ANN-DTC提供了更低复杂性的额外好处，提供了更简单但同样有效的解决方案。

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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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.