Enhanced Robust Control of Induction Motor Using Combined Optimal Model Predictive Control With Super-Twisting Algorithm

This paper presents a novel strategy for induction motor control that combines Optimal Model Predictive Control (OMPC) with the Super-Twisting Algorithm (STA) to enhance the performance of field-oriented control (IFOC) strategy under disturbances and uncertainties. OMPC is exploited for its capabili...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Advances in Electrical and Computer Engineering Jg. 25; H. 2; S. 37 - 48
Hauptverfasser: REZGUI, S.-E., NEMOUCHI, B.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Suceava Stefan cel Mare University of Suceava 01.06.2025
Schlagworte:
Algorithms
Comparative analysis
Computing costs
Control
Controllers
Disturbances
Induction electric motors
induction motor
Induction motors
Optimization
Optimization techniques
Performance enhancement
Predictive control
Process control
Real time
Robust control
Sliding mode control
Technology application
Twisting
variable speed drives
Variables
Algeria
ISSN:1582-7445, 1844-7600
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper presents a novel strategy for induction motor control that combines Optimal Model Predictive Control (OMPC) with the Super-Twisting Algorithm (STA) to enhance the performance of field-oriented control (IFOC) strategy under disturbances and uncertainties. OMPC is exploited for its capability to optimally handle multivariable systems with constraints, but suffers from high computational demands, sensitivity to model inaccuracies, and limited robustness against disturbances. To address these limitations, the proposed approach integrates STA, a second-order sliding mode technique, which provides robustness when subjected to model mismatch and disturbances, while reducing the chattering effect typically associated with classical sliding mode control. By incorporating OMPC with STA into the speed and currents loops of the IFOC technique, the system gains enhanced robustness and disturbance rejection capabilities, without increasing computational cost making it viable for real-time applications in complex control scenarios. This synergetic approach ensures stable and efficient performance in the face of internal variations (like parameters variation) and external perturbations (variable references and load torque). Simulation results demonstrate that the combined OMPC-STA strategy outperforms traditional PI and SMC methods in terms of tracking accuracy, robustness, providing a more reliable control solution for high-performance drives. Index Terms--induction motor, predictive control, robust control, sliding mode control, variable speed drives.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1582-7445
1844-7600
DOI:10.4316/AECE.2025.02005