Analysis and Investigation of Different Advanced Control Strategies for High-Performance Induction Motor Drives
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Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Universitas Ahmad Dahlan
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
8
OpenAIRE Views
6
Publicly Funded
No
Abstract
Induction motor (IM) drives have received a strong interest from researchers and industry particularly for high-performance AC drives through vector control method. With the advancement in power electronics and digital signal processing (DSP), high capability processors allow the implementation of advanced control techniques for motor drives such as model predictive control (MPC). In this paper, design, analysis and investigation of two different MPC techniques applied to IM drives; the model predictive torque control (MPTC) and model predictive current control (MPCC) are presented. The two techniques are designed in Matlab/Simulink environment and compared in term of operation in different operating conditions. Moreover, a comparison of these techniques with field-oriented control (FOC) and direct torque control (DTC) is conducted based on simulation studies with PI speed controller for all control techniques. Based on the analysis, the MPC techniques demonstrates a better result compared with the FOC and DTC in terms of speed, torque and current responses in transient and steady-state conditions. © (2020). All rights reserved.
Description
Keywords
Current prediction Flux estimation Induction motor drives Model predictive control Model predictive current control Model predictive torque control Predictive control Torque prediction
Turkish CoHE Thesis Center URL
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
N/A
Scopus Q
Q2

OpenCitations Citation Count
8
Source
Telkomnika (Telecommunication Computing Electronics and Control)
Volume
18
Issue
6
Start Page
3303
End Page
3314
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CrossRef : 1
Scopus : 20
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Mendeley Readers : 46
SCOPUS™ Citations
20
checked on Feb 03, 2026
Downloads
1
checked on Feb 03, 2026
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