用PSO算法对异步电机驱动的直接转矩控制进行改进

Q3 Computer Science
B. Kiyyour, Laggoun Louanasse, A. Salhi, D. Naimi, G. Boukhalfa
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引用次数: 0

摘要

本文的工作提出了一种改进异步电机直接转矩控制(DTC)的方法,通过设计现代的、鲁棒的和更有效的控制器,而不是通常用于速度控制的传统PI控制器。采用PI抗卷绕、一阶滑模控制(SMC)、二阶滑模控制(SOSMC)、模糊逻辑控制器(fuzzy -PI)和混合模糊二阶滑模控制器(FSOSMC)五种控制器进行了比较研究。利用基于粒子群优化算法(PSO)的先进优化技术对所有控制器进行优化,利用粒子群优化算法确定所有控制器所使用的不同增益,一方面保证了高精度的性能,另一方面保证了不同控制器在最优状态下的可靠比较。在各种运行条件和机器参数变化的情况下,对每种方法的鲁棒性进行了仿真和分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improvement DTC for Induction Motor Drives Using Modern Speed Controllers Tuning by PSO Algorithm
The work carried out in this paper proposes an improvement of the direct torque control (DTC) of induction machine by the design of modern, robust and more efficient controllers than the conventional PI controllers commonly used for speed control. A comparative study has been carried out using five controllers, i.e. PI anti-windup, first-order sliding mode control (SMC), second order sliding mode control (SOSMC), fuzzy logic controller (Fuzzy-PI) and hybrid Fuzzy second-order sliding mode controller (FSOSMC). An advanced optimization technique based on the particle swarm optimization (PSO) algorithm has been utilized to optimize all of these controllers, the use of PSO for the determination of the different gains used in all controllers gives on the one hand a high accuracy performance and ensures on the other hand a reliable comparison between the different controllers in their optimal states. The simulation and analysis of each method with respect to robustness to disturbances was performed externally under various operating conditions and variations of the machine parameters.
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来源期刊
Periodica polytechnica Electrical engineering and computer science
Periodica polytechnica Electrical engineering and computer science Engineering-Electrical and Electronic Engineering
CiteScore
2.60
自引率
0.00%
发文量
36
期刊介绍: The main scope of the journal is to publish original research articles in the wide field of electrical engineering and informatics fitting into one of the following five Sections of the Journal: (i) Communication systems, networks and technology, (ii) Computer science and information theory, (iii) Control, signal processing and signal analysis, medical applications, (iv) Components, Microelectronics and Material Sciences, (v) Power engineering and mechatronics, (vi) Mobile Software, Internet of Things and Wearable Devices, (vii) Solid-state lighting and (viii) Vehicular Technology (land, airborne, and maritime mobile services; automotive, radar systems; antennas and radio wave propagation).
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