Integral Sliding Mode Observer-Based Ultra-Local Model for Finite-Set Model Predictive Current Control of Induction Motor

2021 ◽  
pp. 1-1
Author(s):  
Mahdi S. Mousavi ◽  
S. Alireza Davari ◽  
Vahab Nekoukar ◽  
Cristian Garcia ◽  
Jose Rodriguez
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Current Control ◽  
Sliding Mode Observer ◽  
Local Model ◽  
Integral Sliding Mode ◽  
Finite Set

Robust Fault Identification of Turbofan Engines Sensors Based on Fractional-Order Integral Sliding Mode Observer

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiaocong He ◽  
Lingfei Xiao
Keyword(s):  
Fractional Order ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Fault Identification ◽  
Integral Sliding Mode ◽  
Turbofan Engines ◽  
System A ◽  
Fault Reconstruction ◽  
Integral Sliding Surface ◽  
Fractional Order Integral

Abstract This paper presents a robust fault identification scheme based on fractional-order integral sliding mode observer (FOISMO) for turbofan engine sensors with uncertainties. The equilibrium manifold expansion (EME) model is introduced due to its simplicity and accuracy for nonlinear system. A fractional-order integral sliding mode observer is designed to reconstruct faults on sensors, in which the fractional-order integral sliding surface guarantees the fast convergence of reconstruction. The observer parameters is selected according to L2 gain theory in order to minimize the effect of uncertainties on the fault reconstruction signal. Simulations in Matlab/Simulink show high reconstruction accuracy of the proposed method despite the present of uncertainties.

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