Comparison between PI-DTC-SPWM and fuzzy logic for a sensorless asynchronous motor drive

作     者：Soukaina El Daoudi Loubna Lazrak 

作者机构：Laboratory of AutomaticEnergy Conversion and MicroelectronicsFaculty of Sciences and TechnologySultan Moulay Slimane UniversityBeni MellalMorocco 

出 版 物：《Protection and Control of Modern Power Systems》 (现代电力系统保护与控制（英文）)

年 卷 期：2021年第6卷第1期

页      面：430-442页

核心收录：

学科分类：07[理学] 0811[工学-控制科学与工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

基　　金：The work is not supported by any funding agency. This is the authors own research work 

主　　题：Asynchronous motor Direct torque control Fuzzy logic control Model Reference Adaptive System Sliding mode control Sliding mode observer 

摘      要：Currently, asynchronous cage motors are among the most commonly requested machines accentuated by their extension to the field of electric vehicles. Therefore, the development of robust and sophisticated controls for this machine is of significant interest. Artificial intelligence control techniques, such as fuzzy logic, are at the forefront of recent research. However, their design becomes much more complicated for a motor via a multilevel inverter. The main purpose of this paper is to show that it is possible to achieve fuzzy logic control of a squirrel cage asynchronous motor supplied via the usual two-level inverter. This is achieved, by adopting a DTC strategy based on a sinusoidal PWM with multilevel inverter. It employs a feedback information estimator with dual structure between the sliding mode observer at low speed and the model reference adaptive system in sliding mode at high speed. For both installations, speed is regulated using a sliding mode controller.