Robust

\nThis paper presents an indirect field-oriented control method with rotor flux orientation applied to induction motors, enhanced by robust controllers. This approach aims to optimize the motor's dynamic performance, allowing for more precise control of torque and speed. Due to the nonlinear, multivariable, and highly coupled dynamics, induction motors require particularly complex control algorithms. Consequently, this method relies on accurate knowledge of the rotor position, which is directly related to the rotor time constant and, under real conditions, depends on temperature variations as well as the magnetic state of the machine. This technique was simulated in MATLAB/Simulink environment and subsequently implemented in real time.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-12-13
DOI
https://doi.org/10.1051/itmconf/20246903009/pdf
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00
Controls
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Robust

Springer Link (Chiba Institute of Technology)
Sensorless Control of Electric Motors
article

Robust

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Abstract

\nThis paper presents an indirect field-oriented control method with rotor flux orientation applied to induction motors, enhanced by robust controllers. This approach aims to optimize the motor's dynamic performance, allowing for more precise control of torque and speed. Due to the nonlinear, multivariable, and highly coupled dynamics, induction motors require particularly complex control algorithms. Consequently, this method relies on accurate knowledge of the rotor position, which is directly related to the rotor time constant and, under real conditions, depends on temperature variations as well as the magnetic state of the machine. This technique was simulated in MATLAB/Simulink environment and subsequently implemented in real time.\n

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 71%
Sensorless Control of Electric Motors
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Robust · Springer Link (Chiba Institute of Technology) (2024) | TGRS Research Map | TGRS