An improved SOGI-Higher Order Sliding Mode Observer-Based Induction Motor Speed Estimation
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1
Kwame Nkrumah University of Science and Technology, Kumasi, Ghana, Department of Electrical/Electronic Engineering
2
Ecole Centrale de Nantes, Nantes, France, Department of Electrical Engineering
Power Electronics and Drives 2025;10 (45):19-40
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ABSTRACT
This article presents a novel adaptive gain tuning second-order generalised integrator (SOGI)-higher-order sliding mode (HOSM) observer
for robust speed estimation for an induction motor’s entire speed range. This article introduces a hyperbolic tangent function and a
varying gain exponent that ensures accurate speed estimation under noisy conditions and significantly reduces chattering observed in
conventional sliding mode observers (SMOs). The robustness of the proposed speed estimation method is verified through simulations
conducted on MATLAB/Simulink R2024a developed by MathWorks, demonstrating its capability to effectively track the motor’s actual
speed even under varying load torque conditions, parameter variations and additional sensor noise. The proposed approach’s superiority
and robustness were compared with the conventional SOGI-frequency locked loop (FLL) and super twisting algorithm (STA) SMO.