Improving the Performance Characteristics of Three‐Phase Asynchronous Induction Motor Drive Using Hybrid Systems Control Method Based on Direct Torque Control

In this study, a hybrid control method based on direct torque control (DTC) was introduced to enhance the performance features of the three‐phase asynchronous induction motor drive. Model‐based predictive control methods are among the types of control methods used for hybrid systems. In the suggeste...

Full description

Saved in:
Bibliographic Details
Published inJournal of control science and engineering Vol. 2025; no. 1
Main Authors Shafiee-Fini, Mohammad, Navardi, Mohammad Javad, Ghasvari, Hossein
Format Journal Article
LanguageEnglish
Published New York John Wiley & Sons, Inc 2025
Wiley
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In this study, a hybrid control method based on direct torque control (DTC) was introduced to enhance the performance features of the three‐phase asynchronous induction motor drive. Model‐based predictive control methods are among the types of control methods used for hybrid systems. In the suggested method, the concepts of flux and torque vector orientation were utilized to decrease the impacts of flux and torque ripples in a multiobjective cost function. Subsequently, the optimal voltage vector was chosen according to the minimization of the intended objective function by applying the predictive control concepts. In this technique, the selection of the optimal vector is more guaranteed compared to the DTC method in accordance with the table since the objective function is assessed in every control cycle and the optimal voltage vector is chosen accordingly. In addition, the implementation of the suggested control method is easily possible. Based on the results of the simulation, the presented control method outperformed the classical torque direct control and predictive torque control (PTC) method in the flux and torque fluctuation results.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1687-5249
1687-5257
DOI:10.1155/jcse/5062783