Analysis and Investigation of Different Advanced Control Strategies for High-Performance Induction Motor Drives
Analysis and Investigation of Different Advanced Control Strategies for High-Performance Induction Motor Drives
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, Current prediction, Flux estimation, Model predictive current control, Torque prediction, Induction motor drives, Model predictive torque control, Model predictive control, Predictive control
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q

OpenCitations Citation Count
8
Volume
18
Issue
6
Start Page
3303
End Page
3314
PlumX Metrics
Citations
CrossRef : 1
Scopus : 20
Captures
Mendeley Readers : 49

