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.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533002010
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Feedback Linearization and Sliding Mode Control of IM with Parametric Variations

Mustapha Elharoussi, Mustapha Es-Semyhy, A. Ba-Razzouk
EPJ Web of Conferences
Adaptive Control of Nonlinear Systems
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.

EPJ Web of ConferencesVol. 330
Université Hassan 1er (MA)
Openalex Percentile: Top 82%
Adaptive Control of Nonlinear Systems
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Feedback Linearization and Sliding Mode Control of IM with Parametric Variations — Mustapha Elharoussi, Mustapha Es-Semyhy, et al. · EPJ Web of Conferences (2025) | TGRS Research Map | TGRS