Feedback Linearization and Sliding Mode Control of IM with Parametric Variations

The inherent nonlinearity of induction motors (IMs) presents a significant obstacle to achieving precise control. This nonlinearity arises from magnetic saturation and Joule heating effects, which lead to variations in the motor's inductance and resistance, respectively. These parametric uncertainties complicate the design and implementation of robust control strategies. To address these challenges, this work proposes a novel control approach that combines feedback linearization technique (FLT) and sliding mode control (SMC). FLT simplifies the complex IM model, facilitating the design of a high-performance controller. SMC, known for its robustness against parametric uncertainties, ensures effective control even under varying operating conditions. The simplicity of SMC implementation, requiring only a basic flux observer, further enhances its appeal for practical applications.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-06-30
DOI
https://doi.org/10.1051/epjconf/202533002010/pdf
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Feedback Linearization and Sliding Mode Control of IM with Parametric Variations

Mustapha Elharoussi, Mustapha Es-Semyhy, A. Ba-Razzouk
Springer Link (Chiba Institute of Technology)
Sensorless Control of Electric Motors
article

Feedback Linearization and Sliding Mode Control of IM with Parametric Variations

Mustapha Elharoussi, Mustapha Es-Semyhy, A. Ba-Razzouk
article en

Abstract

The inherent nonlinearity of induction motors (IMs) presents a significant obstacle to achieving precise control. This nonlinearity arises from magnetic saturation and Joule heating effects, which lead to variations in the motor's inductance and resistance, respectively. These parametric uncertainties complicate the design and implementation of robust control strategies. To address these challenges, this work proposes a novel control approach that combines feedback linearization technique (FLT) and sliding mode control (SMC). FLT simplifies the complex IM model, facilitating the design of a high-performance controller. SMC, known for its robustness against parametric uncertainties, ensures effective control even under varying operating conditions. The simplicity of SMC implementation, requiring only a basic flux observer, further enhances its appeal for practical applications.

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 37%
Sensorless Control of Electric Motors
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