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Title: Analysis and investigation of different advanced control strategies for high-performance induction motor drives
Authors: Farah, Nabil
Talib, Hairul Nizam
Ibrahim, Z.B.
Abdullah, Q.
Aydoğdu, Ömer
Rasin, Z.
Lazi, J.M.
Keywords: Current prediction Flux estimation Induction motor drives Model predictive control Model predictive current control Model predictive torque control Predictive control Torque prediction
Issue Date: 2020
Publisher: Universitas Ahmad Dahlan
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.
ISSN: 1693-6930
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections

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