控制理论(社会学)
稳健性(进化)
粒子群优化
感应电动机
模糊逻辑
PID控制器
电子速度控制
扭矩
控制工程
计算机科学
滑模控制
工程类
温度控制
算法
控制(管理)
非线性系统
人工智能
生物化学
化学
物理
电压
量子力学
电气工程
基因
热力学
作者
Brahim Kiyyour,Louanasse Laggoun,Ahmed Salhi,Djemai Naimi,Ghoulemallah Boukhalfa
出处
期刊:Periodica polytechnica. Electrical engineering and computer science /
[Periodica Polytechnica, Budapest University of Technology and Economics]
日期:2023-04-06
卷期号:67 (3): 249-259
被引量:2
摘要
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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